Pub Date : 2024-10-10DOI: 10.1016/j.epsr.2024.111128
Yidan Zhou, Yao Zhang, Qianhao Sun, Jiale Wang, Yingjie Zhao, Jianxue Wang
The three-phase distribution optimal power flow (D-OPF) problem has attracted much attention in recent years due to practical requirements for managing distributed energy resources and multi-energy customers in unbalanced active distribution systems. To deal with the strong nonconvexity of the three-phase OPF problem, this paper develops the semidefinite programming (SDP) formulation of three-phase OPF problems considering the mutual coupling in multi-phase networks. Instead of directly dropping the rank-one constraints, a sequential convex optimization algorithm based on the convex-concave procedure (CCP) is proposed for recovering a feasible and optimal solution of three-phase power flow. The proposed iterative algorithm not only has high computational efficiency but also guarantees the optimality when the semidefinite relaxation or second-order cone relaxation method is inexact. Case studies on various IEEE testing distribution systems verify that the proposed algorithm recovers the feasible and optimal power flow solution. It also exhibits a relatively low number of iterations and short solving time in large-scale IEEE testing systems.
{"title":"Optimal operation of three-phase unbalanced active distribution system based on semidefinite relaxation and convex-concave procedure","authors":"Yidan Zhou, Yao Zhang, Qianhao Sun, Jiale Wang, Yingjie Zhao, Jianxue Wang","doi":"10.1016/j.epsr.2024.111128","DOIUrl":"10.1016/j.epsr.2024.111128","url":null,"abstract":"<div><div>The three-phase distribution optimal power flow (D-OPF) problem has attracted much attention in recent years due to practical requirements for managing distributed energy resources and multi-energy customers in unbalanced active distribution systems. To deal with the strong nonconvexity of the three-phase OPF problem, this paper develops the semidefinite programming (SDP) formulation of three-phase OPF problems considering the mutual coupling in multi-phase networks. Instead of directly dropping the rank-one constraints, a sequential convex optimization algorithm based on the convex-concave procedure (CCP) is proposed for recovering a feasible and optimal solution of three-phase power flow. The proposed iterative algorithm not only has high computational efficiency but also guarantees the optimality when the semidefinite relaxation or second-order cone relaxation method is inexact. Case studies on various IEEE testing distribution systems verify that the proposed algorithm recovers the feasible and optimal power flow solution. It also exhibits a relatively low number of iterations and short solving time in large-scale IEEE testing systems.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"238 ","pages":"Article 111128"},"PeriodicalIF":3.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-10DOI: 10.1016/j.epsr.2024.111148
Sashuang Sun , YouBo Liu , Zhiyuan Tang , Mengfu Tu , Xili Du , Junyong Liu
In this paper, a novel hybrid stochastic-robust bidding model for a wind-storage system in the day-ahead (DA) market considering risk preferences is proposed. In the proposed scheme, the uncertainties of wind power and DA electricity price are firstly accounted for through stochastic optimization (SO) and robust optimization (RO) models. Then, to combine the advantages of both SO and RO models, based on the Hurwicz optimistic coefficient, a hybrid stochastic-robust bidding model is formulated for wind-storage systems, where wind farm bidders can select bidding strategies with different risk levels. Additionally, to reflect a more realistic operating cost of Energy Storage System (ESS), the ESS life degradation model based on equivalent full cycle counts is embedded into this hybrid model. To make the proposed non-convex hybrid bidding model computationally tractable, strong duality theory and piecewise linear functions are employed to transform it into a mixed integer linear programming (MILP) problem, which can be efficiently solved with the off-the-shelf optimization software. The simulation results demonstrate that the proposed bidding model effectively handles various scenarios and enables the selection of appropriate strategies under different risk preferences.
{"title":"A hybrid stochastic-robust bidding model for wind-storage system in day-ahead market considering risk preference","authors":"Sashuang Sun , YouBo Liu , Zhiyuan Tang , Mengfu Tu , Xili Du , Junyong Liu","doi":"10.1016/j.epsr.2024.111148","DOIUrl":"10.1016/j.epsr.2024.111148","url":null,"abstract":"<div><div>In this paper, a novel hybrid stochastic-robust bidding model for a wind-storage system in the day-ahead (DA) market considering risk preferences is proposed. In the proposed scheme, the uncertainties of wind power and DA electricity price are firstly accounted for through stochastic optimization (SO) and robust optimization (RO) models. Then, to combine the advantages of both SO and RO models, based on the Hurwicz optimistic coefficient, a hybrid stochastic-robust bidding model is formulated for wind-storage systems, where wind farm bidders can select bidding strategies with different risk levels. Additionally, to reflect a more realistic operating cost of Energy Storage System (ESS), the ESS life degradation model based on equivalent full cycle counts is embedded into this hybrid model. To make the proposed non-convex hybrid bidding model computationally tractable, strong duality theory and piecewise linear functions are employed to transform it into a mixed integer linear programming (MILP) problem, which can be efficiently solved with the off-the-shelf optimization software. The simulation results demonstrate that the proposed bidding model effectively handles various scenarios and enables the selection of appropriate strategies under different risk preferences.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"238 ","pages":"Article 111148"},"PeriodicalIF":3.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-09DOI: 10.1016/j.epsr.2024.111134
Navid Fahimi , Mohammad Goudarzi , Amir Abbas Shayegani-Akmal
Field aging of outdoor polymeric insulators results in unscheduled outages in power systems particularly in harsh climate conditions. In this paper, a strategic maintenance framework is proposed in order to prevent overhead line outages. The presented scheme is based on condition assessment of the real aged polymeric insulators. Data of tensile test, hardness test, thermogravimetric analysis (TGA), and Fourier transform infrared spectroscopy (FTIR) are used to extract critical features of the aged samples based on classification of fuzzy c-means clustering. Then, a lifetime prediction analysis is done based on Cox hazards analysis to develop further maintenance strategy. The proposed model is validated through numerical analyses on polymeric insulators for various validation evaluations including pollution severity analysis and hydrophobicity class (HC) measurement. Obtained results verify accuracy of the intelligent model to predict lifetime of the aged polymeric insulators. The presented strategic framework can be effectively applied to online monitoring, condition assessment and preventive maintenance programs of the power system utilities.
{"title":"Failure evaluation of outdoor polymeric insulators based on statistical condition-assessment methods","authors":"Navid Fahimi , Mohammad Goudarzi , Amir Abbas Shayegani-Akmal","doi":"10.1016/j.epsr.2024.111134","DOIUrl":"10.1016/j.epsr.2024.111134","url":null,"abstract":"<div><div>Field aging of outdoor polymeric insulators results in unscheduled outages in power systems particularly in harsh climate conditions. In this paper, a strategic maintenance framework is proposed in order to prevent overhead line outages. The presented scheme is based on condition assessment of the real aged polymeric insulators. Data of tensile test, hardness test, thermogravimetric analysis (TGA), and Fourier transform infrared spectroscopy (FTIR) are used to extract critical features of the aged samples based on classification of fuzzy c-means clustering. Then, a lifetime prediction analysis is done based on Cox hazards analysis to develop further maintenance strategy. The proposed model is validated through numerical analyses on polymeric insulators for various validation evaluations including pollution severity analysis and hydrophobicity class (HC) measurement. Obtained results verify accuracy of the intelligent model to predict lifetime of the aged polymeric insulators. The presented strategic framework can be effectively applied to online monitoring, condition assessment and preventive maintenance programs of the power system utilities.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"238 ","pages":"Article 111134"},"PeriodicalIF":3.3,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-08DOI: 10.1016/j.epsr.2024.111144
Yuxi Liu , Yuexi Yang , Xiao Zhou , Yang Liu , Q.H. Wu
With the growing application of modular multilevel converter based high-voltage direct current transmission (MMC-HVDC), the sensor fault-tolerant capability in modular multilevel converters has become critical. This paper aims to boost the sensor fault-tolerant performance of the MMC-HVDC systems using advanced data-driven techniques. A novel online dynamic mode decomposition based Kalman filter (ODMDKF) is designed for fault detection and control reconfiguration. Besides, a modified dual-check fault detection module based on local outlier factor algorithm is proposed to reduce false alarm rate. Simulation studies are conducted on a modified IEEE 9-bus system with MMC-HVDC transmission lines. The results indicate that the proposed sensor fault-tolerant control method can ensure the continuous operation of the MMC-HVDC systems under the condition of three types of current sensor faults and its fault-tolerant capability is better than that of extended Kalman filter-based fault-tolerant control method.
{"title":"Online DMD-based Kalman filter for current sensor fault-tolerant control of MMC-HVDC transmission systems","authors":"Yuxi Liu , Yuexi Yang , Xiao Zhou , Yang Liu , Q.H. Wu","doi":"10.1016/j.epsr.2024.111144","DOIUrl":"10.1016/j.epsr.2024.111144","url":null,"abstract":"<div><div>With the growing application of modular multilevel converter based high-voltage direct current transmission (MMC-HVDC), the sensor fault-tolerant capability in modular multilevel converters has become critical. This paper aims to boost the sensor fault-tolerant performance of the MMC-HVDC systems using advanced data-driven techniques. A novel online dynamic mode decomposition based Kalman filter (ODMDKF) is designed for fault detection and control reconfiguration. Besides, a modified dual-check fault detection module based on local outlier factor algorithm is proposed to reduce false alarm rate. Simulation studies are conducted on a modified IEEE 9-bus system with MMC-HVDC transmission lines. The results indicate that the proposed sensor fault-tolerant control method can ensure the continuous operation of the MMC-HVDC systems under the condition of three types of current sensor faults and its fault-tolerant capability is better than that of extended Kalman filter-based fault-tolerant control method.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"238 ","pages":"Article 111144"},"PeriodicalIF":3.3,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-08DOI: 10.1016/j.epsr.2024.111130
Jean-Luc Lupien, Antoine Lesage-Landry
Convex relaxations of the optimal power flow (OPF) problem provide an efficient alternative to solving the intractable alternating current (AC) optimal power flow. The conic subset of OPF convex relaxations, in particular, greatly accelerate resolution while leading to high-quality approximations that are exact in several scenarios. However, the sufficient conditions guaranteeing exactness are stringent, e.g., requiring radial topologies. In this short communication, we present two equivalent ex post conditions for the exactness of any conic relaxation of the OPF. These rely on obtaining either a rank-1 voltage matrix or self-coherent cycles. Instead of relying on sufficient conditions a priori, satisfying one of the presented ex post conditions acts as an exactness certificate for the computed solution. The operator can therefore obtain an optimality guarantee when solving a conic relaxation even when a priori exactness requirements are not met. Finally, we present numerical examples from the MATPOWER library where the ex post conditions hold even though the exactness sufficient conditions do not, thereby illustrating the use of the conditions.
{"title":"Ex post conditions for the exactness of optimal power flow conic relaxations","authors":"Jean-Luc Lupien, Antoine Lesage-Landry","doi":"10.1016/j.epsr.2024.111130","DOIUrl":"10.1016/j.epsr.2024.111130","url":null,"abstract":"<div><div>Convex relaxations of the optimal power flow (OPF) problem provide an efficient alternative to solving the intractable alternating current (AC) optimal power flow. The conic subset of OPF convex relaxations, in particular, greatly accelerate resolution while leading to high-quality approximations that are exact in several scenarios. However, the sufficient conditions guaranteeing exactness are stringent, e.g., requiring radial topologies. In this short communication, we present two equivalent <em>ex post</em> conditions for the exactness of any conic relaxation of the OPF. These rely on obtaining either a rank-1 voltage matrix or self-coherent cycles. Instead of relying on sufficient conditions <em>a priori</em>, satisfying one of the presented <em>ex post</em> conditions acts as an exactness certificate for the computed solution. The operator can therefore obtain an optimality guarantee when solving a conic relaxation even when <em>a priori</em> exactness requirements are not met. Finally, we present numerical examples from the MATPOWER library where the <em>ex post</em> conditions hold even though the exactness sufficient conditions do not, thereby illustrating the use of the conditions.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"238 ","pages":"Article 111130"},"PeriodicalIF":3.3,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-08DOI: 10.1016/j.epsr.2024.111147
Honglu Xu , Xinhui Zhang , Haoyue Sun , Wenhao Wu , Jiaxi Zhu , Fuqian Wang
When a High Impedance Fault (HIF) occurs in a resonant grounding system, the differentiation of the current flowing upstream and downstream of the fault point is inconspicuous due to the weak electrical signal. This paper proposes a faulty section location approach based on Discrete Fréchet Distance (DFD) to address this issue. Initially, taking the zero-sequence current as the characteristic quantity, the instantaneous value of the zero-sequence current at each sampling point and its previous sampling moments are accumulated to amplify the fault signal, and furthermore to obtain the cumulative waveform of the zero-sequence current at each monitoring point. The DFD values between the cumulative waveforms of zero-sequence currents flowing through each section are also calculated. For a branchless section, if the Coefficient of Variation (CV) of the DFD in each section does not exceed the threshold value, it is identified as an end-of-line fault, otherwise, the section with the maximum DFD is identified as a faulty section. For a section with branches, the branching coefficient is calculated to determine whether it is a faulty section or not. Finally, MATLAB/Simulink simulation results and field-recorded data demonstrate the validity and robustness of the approach under various fault conditions, despite the connection of Distributed Generators (DGs).
{"title":"Faulty section location method for high impedance grounding fault in resonant grounding system based on discrete Fréchet distance","authors":"Honglu Xu , Xinhui Zhang , Haoyue Sun , Wenhao Wu , Jiaxi Zhu , Fuqian Wang","doi":"10.1016/j.epsr.2024.111147","DOIUrl":"10.1016/j.epsr.2024.111147","url":null,"abstract":"<div><div>When a High Impedance Fault (HIF) occurs in a resonant grounding system, the differentiation of the current flowing upstream and downstream of the fault point is inconspicuous due to the weak electrical signal. This paper proposes a faulty section location approach based on Discrete Fréchet Distance (DFD) to address this issue. Initially, taking the zero-sequence current as the characteristic quantity, the instantaneous value of the zero-sequence current at each sampling point and its previous sampling moments are accumulated to amplify the fault signal, and furthermore to obtain the cumulative waveform of the zero-sequence current at each monitoring point. The DFD values between the cumulative waveforms of zero-sequence currents flowing through each section are also calculated. For a branchless section, if the Coefficient of Variation (CV) of the DFD in each section does not exceed the threshold value, it is identified as an end-of-line fault, otherwise, the section with the maximum DFD is identified as a faulty section. For a section with branches, the branching coefficient is calculated to determine whether it is a faulty section or not. Finally, MATLAB/Simulink simulation results and field-recorded data demonstrate the validity and robustness of the approach under various fault conditions, despite the connection of Distributed Generators (DGs).</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"238 ","pages":"Article 111147"},"PeriodicalIF":3.3,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-07DOI: 10.1016/j.epsr.2024.111140
Ren Zhang , Haoming Liu , Jian Wang , Haiqing Cai , Haohan Gu , Wei Chen , Zhihao Chen
The fluctuation of highly penetrated distributed generations (DGs) in distribution networks (DNs) increases branch overload risks, which makes the analysis uncertainty of branch power flow more complex. The probability analysis of branch power can grasp the power flow operation characteristics under uncertain conditions, which supports the power flow optimization management and ensures the safe and economic operation of DNs. Therefore, this paper proposes a data-model driven probability analysis method for branch power flow in DNs. An approximate branch power model is first derived to reveal the analytical relationship between branch power and node power. Then, based on the branch power approximation model and the forecasting error, the datasets of branch apparent power are constructed to capture the complex nonlinear characteristics of the power flow. The non-Gaussian distribution characteristics of branch apparent power and line loss are described by the optimal probability fitting method. Finally, the probability level of branch overload is evaluated and the probability distribution of line loss is analyzed. The case studies demonstrate that the branch power approximation model is highly accurate, and the probability distribution of the branch apparent power presents different characteristics. The proposed method can quickly and accurately calculate the branch overload probability level.
配电网(DN)中高渗透率分布式发电(DG)的波动增加了支路过载风险,使得支路功率流的不确定性分析变得更加复杂。通过对支路功率的概率分析,可以掌握不确定条件下的功率流运行特性,为功率流优化管理提供支持,确保配电网的安全经济运行。因此,本文提出了一种数据模型驱动的 DNs 分支功率流概率分析方法。首先推导出近似的分支功率模型,揭示了分支功率与节点功率之间的分析关系。然后,基于支路功率近似模型和预测误差,构建支路视在功率数据集,以捕捉功率流的复杂非线性特征。支路视在功率和线路损耗的非高斯分布特征采用最优概率拟合方法进行描述。最后,评估了分支过载的概率水平,并分析了线路损耗的概率分布。案例研究表明,支路功率近似模型非常准确,支路视在功率的概率分布呈现出不同的特征。所提出的方法可以快速准确地计算出分支过载概率水平。
{"title":"Data-model driven probability model of branch power flow for distribution networks and its application to analysis of overload and line loss","authors":"Ren Zhang , Haoming Liu , Jian Wang , Haiqing Cai , Haohan Gu , Wei Chen , Zhihao Chen","doi":"10.1016/j.epsr.2024.111140","DOIUrl":"10.1016/j.epsr.2024.111140","url":null,"abstract":"<div><div>The fluctuation of highly penetrated distributed generations (DGs) in distribution networks (DNs) increases branch overload risks, which makes the analysis uncertainty of branch power flow more complex. The probability analysis of branch power can grasp the power flow operation characteristics under uncertain conditions, which supports the power flow optimization management and ensures the safe and economic operation of DNs. Therefore, this paper proposes a data-model driven probability analysis method for branch power flow in DNs. An approximate branch power model is first derived to reveal the analytical relationship between branch power and node power. Then, based on the branch power approximation model and the forecasting error, the datasets of branch apparent power are constructed to capture the complex nonlinear characteristics of the power flow. The non-Gaussian distribution characteristics of branch apparent power and line loss are described by the optimal probability fitting method. Finally, the probability level of branch overload is evaluated and the probability distribution of line loss is analyzed. The case studies demonstrate that the branch power approximation model is highly accurate, and the probability distribution of the branch apparent power presents different characteristics. The proposed method can quickly and accurately calculate the branch overload probability level.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"238 ","pages":"Article 111140"},"PeriodicalIF":3.3,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-07DOI: 10.1016/j.epsr.2024.111129
Elson N. M. Silva, Anselmo B. Rodrigues, Maria da Guia da Silva
This paper proposes a new approximated power flow method for islanded AC microgrids. The proposed linear power flow is based on the expansion and improvement of the well-known approximated model for voltage drop calculation in distribution networks based on power injections and the Zbus matrix. The accuracy of this conventional approximation has been improved through the following strategies: linearization based on warm-start and post-solution correction to include the imaginary part of complex voltages. Furthermore, droop controls were embedded into the original approximated model to consider the microgrids islanded operation. The accuracy of the proposed method was assessed using nonlinear optimization models. The tests results with 69 and 906 nodes microgrids demonstrated that the proposed approach is generally more accurate than existing approximated algorithms for solving power flow in islanded microgrids. Furthermore, a computational cost assessment of the proposed technique was performed using a Probabilistic Power Flow (PPF) based on Monte Carlo Simulation. The results revealed that the PPF based on the proposed approach can estimate probabilistic performance indices with high precision, but with reductions of 97% in CPU time.
{"title":"Approximated Power Flow for AC Islanded Microgrids","authors":"Elson N. M. Silva, Anselmo B. Rodrigues, Maria da Guia da Silva","doi":"10.1016/j.epsr.2024.111129","DOIUrl":"10.1016/j.epsr.2024.111129","url":null,"abstract":"<div><div>This paper proposes a new approximated power flow method for islanded AC microgrids. The proposed linear power flow is based on the expansion and improvement of the well-known approximated model for voltage drop calculation in distribution networks based on power injections and the Zbus matrix. The accuracy of this conventional approximation has been improved through the following strategies: linearization based on warm-start and post-solution correction to include the imaginary part of complex voltages. Furthermore, droop controls were embedded into the original approximated model to consider the microgrids islanded operation. The accuracy of the proposed method was assessed using nonlinear optimization models. The tests results with 69 and 906 nodes microgrids demonstrated that the proposed approach is generally more accurate than existing approximated algorithms for solving power flow in islanded microgrids. Furthermore, a computational cost assessment of the proposed technique was performed using a Probabilistic Power Flow (PPF) based on Monte Carlo Simulation. The results revealed that the PPF based on the proposed approach can estimate probabilistic performance indices with high precision, but with reductions of 97% in CPU time.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"238 ","pages":"Article 111129"},"PeriodicalIF":3.3,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-05DOI: 10.1016/j.epsr.2024.111138
Taís Tavares de Oliveira, Math H.J. Bollen, Nicholas Etherden
This paper presents an approach to estimate the hosting capacity for distribution networks considering the impact of PV penetration at different voltage levels. The estimation and the method were selected such that the results were most suitable for distribution system planning. A time-series based method was used as it covers significant aspects needed for prioritising network reinforcement. The MV background voltage was modelled varying in time, assuming the same penetration level in the other LV networks supplied by the same MV system. The hosting capacity is defined as the maximum acceptable PV size per customer for a given PV penetration. Based on the different possible combinations of PV location, the probability of overvoltage and overloading is used as a performance index. The planning risk is used as a limit for the performance criterion. The method can be automated for a large number of networks due to using an IEC 61970-based input format. It also enables linking DSO network models to customer smart metre databases. The severity and risks of limit violations are analysed with different metrics from the time-series simulations. The change in background voltage with increasing penetration is shown to impact the results significantly. When considering it, the estimated hosting capacity was reduced by 32 %, on average.
{"title":"A hosting capacity based approach toward distribution system planning for high PV penetration","authors":"Taís Tavares de Oliveira, Math H.J. Bollen, Nicholas Etherden","doi":"10.1016/j.epsr.2024.111138","DOIUrl":"10.1016/j.epsr.2024.111138","url":null,"abstract":"<div><div>This paper presents an approach to estimate the hosting capacity for distribution networks considering the impact of PV penetration at different voltage levels. The estimation and the method were selected such that the results were most suitable for distribution system planning. A time-series based method was used as it covers significant aspects needed for prioritising network reinforcement. The MV background voltage was modelled varying in time, assuming the same penetration level in the other LV networks supplied by the same MV system. The hosting capacity is defined as the maximum acceptable PV size per customer for a given PV penetration. Based on the different possible combinations of PV location, the probability of overvoltage and overloading is used as a performance index. The planning risk is used as a limit for the performance criterion. The method can be automated for a large number of networks due to using an IEC 61970-based input format. It also enables linking DSO network models to customer smart metre databases. The severity and risks of limit violations are analysed with different metrics from the time-series simulations. The change in background voltage with increasing penetration is shown to impact the results significantly. When considering it, the estimated hosting capacity was reduced by 32 %, on average.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"238 ","pages":"Article 111138"},"PeriodicalIF":3.3,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-05DOI: 10.1016/j.epsr.2024.111110
Dandan Song , Minghui Yin , Zaiyu Chen , Lianjun Zhou , Yun Zou
By adding compensation torque based on the optimal torque, the torque compensation control method expands the unbalanced torque at varying wind speeds, thereby improving the maximum power point tracking (MPPT) performance of wind turbines (WT). However, while improving the wind energy capture efficiency, such methods will lead to drastic fluctuations of generator torque, resulting in significantly increased drive-train loads. To solve this problem, based on the amplitude-frequency characteristics analysis of the WT system transfer function, it is found rotor speed information can not only reflect the main trend of wind speed changes, but also has the characteristics of not being easily affected by the high-frequency component of wind speed. Therefore, setting compensation torque according to it can effectively alleviate the above phenomenon. On this basis, the MPPT control of WT based on speed hysteresis loop to reduce drive-train loads is proposed. The speed information is used to replace the torque information to set the compensation torque amplitude term, and the speed hysteresis loop is introduced to improve the design of the compensation torque symbol term, which can significantly decreased drive-train loads without compromising on power capture. Finally, the effectiveness of the proposed method is verified by the experiments.
{"title":"Maximum power point tracking control of wind turbines based on speed hysteresis loop to reduce drive-train loads","authors":"Dandan Song , Minghui Yin , Zaiyu Chen , Lianjun Zhou , Yun Zou","doi":"10.1016/j.epsr.2024.111110","DOIUrl":"10.1016/j.epsr.2024.111110","url":null,"abstract":"<div><div>By adding compensation torque based on the optimal torque, the torque compensation control method expands the unbalanced torque at varying wind speeds, thereby improving the maximum power point tracking (MPPT) performance of wind turbines (WT). However, while improving the wind energy capture efficiency, such methods will lead to drastic fluctuations of generator torque, resulting in significantly increased drive-train loads. To solve this problem, based on the amplitude-frequency characteristics analysis of the WT system transfer function, it is found rotor speed information can not only reflect the main trend of wind speed changes, but also has the characteristics of not being easily affected by the high-frequency component of wind speed. Therefore, setting compensation torque according to it can effectively alleviate the above phenomenon. On this basis, the MPPT control of WT based on speed hysteresis loop to reduce drive-train loads is proposed. The speed information is used to replace the torque information to set the compensation torque amplitude term, and the speed hysteresis loop is introduced to improve the design of the compensation torque symbol term, which can significantly decreased drive-train loads without compromising on power capture. Finally, the effectiveness of the proposed method is verified by the experiments.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"238 ","pages":"Article 111110"},"PeriodicalIF":3.3,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}