Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281863
Matthew Bossart, R. Kenyon, D. Maksimović, B. Hodge
The prevalence of power electronics in the bulk power system is increasing rapidly in both the generation and consumption of electricity. This work focuses on the effect of changing load composition - specifically the transition from single phase air conditioner motors to power electronics backed air conditioners - on power system stability. Various transmission and generation contingency events for the Western Interconnection were simulated using Positive Sequence Load Flow software and planning models from the Western Electricity Coordinating Council. In general, an increased proportion of power electronic load leads to more instability. For some specific faults resulting in fault-induced delayed voltage recovery, transitioning to higher proportions of power electronic loads helps expedite system recovery. These results demonstrate that load composition should be examined in conjunction with generation composition when evaluating system stability.
{"title":"The Effect of Power Electronic Loads on Western Interconnection Stability","authors":"Matthew Bossart, R. Kenyon, D. Maksimović, B. Hodge","doi":"10.1109/PESGM41954.2020.9281863","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281863","url":null,"abstract":"The prevalence of power electronics in the bulk power system is increasing rapidly in both the generation and consumption of electricity. This work focuses on the effect of changing load composition - specifically the transition from single phase air conditioner motors to power electronics backed air conditioners - on power system stability. Various transmission and generation contingency events for the Western Interconnection were simulated using Positive Sequence Load Flow software and planning models from the Western Electricity Coordinating Council. In general, an increased proportion of power electronic load leads to more instability. For some specific faults resulting in fault-induced delayed voltage recovery, transitioning to higher proportions of power electronic loads helps expedite system recovery. These results demonstrate that load composition should be examined in conjunction with generation composition when evaluating system stability.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121410471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281725
Kaiyuan Pang, Yizheng Wang, F. Wen, I. Palu, Zeng Yang, Minghui Chen, Hongwei Zhao, Huiyu Shang
Nowadays, power system resilience presents higher requirements for restorative self-healing strategies considering both restoring and operating performances. This paper sheds light on a resilience-enhancing restoration strategy considering voltage balance, which is formulated as a two-stage mixed integer linear programming (MILP) problem. An improved non-black-start (NBS) generator start-up model is presented in the first stage, and used to determine the restoration sequence of generators, power lines, and loads with maximum restored load capacity. Besides, a linear power flow model with transmission loss ignored is employed in the second stage, with an aim of attaining most balanced post-restoration voltage by readjusting the power outputs from generators. The IEEE 30-bus power system is used to demonstrate the correctness and effectiveness of the proposed two-stage strategy.
{"title":"A Resilience-Enhancing System Restoration Method Considering Voltage Balance","authors":"Kaiyuan Pang, Yizheng Wang, F. Wen, I. Palu, Zeng Yang, Minghui Chen, Hongwei Zhao, Huiyu Shang","doi":"10.1109/PESGM41954.2020.9281725","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281725","url":null,"abstract":"Nowadays, power system resilience presents higher requirements for restorative self-healing strategies considering both restoring and operating performances. This paper sheds light on a resilience-enhancing restoration strategy considering voltage balance, which is formulated as a two-stage mixed integer linear programming (MILP) problem. An improved non-black-start (NBS) generator start-up model is presented in the first stage, and used to determine the restoration sequence of generators, power lines, and loads with maximum restored load capacity. Besides, a linear power flow model with transmission loss ignored is employed in the second stage, with an aim of attaining most balanced post-restoration voltage by readjusting the power outputs from generators. The IEEE 30-bus power system is used to demonstrate the correctness and effectiveness of the proposed two-stage strategy.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116363822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281875
Wei Liu, Yan Xu, Yu Wang, X. Feng
High penetration of renewable energy in distribution networks brings both voltage and frequency fluctuations to the power grid. Conventionally, system frequency and network voltage regulation are separately considered. However, due to the relatively low $X/R$ ratio of distribution lines, frequency regulation and voltage regulation by distributed generation units are not decoupled. To this end, this paper presents a fuzzy logic controller (FLC) to coordinately and adaptively regulate system frequency and bus voltages using distributed energy storage systems (DESSs). The complex power from the DESSs and their interfacing converters are effectively utilized for simultaneous voltage and frequency regulation. The proposed method is demonstrated on the 7-bus distribution network, and the simulation results verify that it can adaptively and coordinately regulate voltages and frequency within operating limits.
{"title":"Fuzzy-logic based Adaptive Control of Distributed Energy Storage Systems for Simultaneous V/f Regulation","authors":"Wei Liu, Yan Xu, Yu Wang, X. Feng","doi":"10.1109/PESGM41954.2020.9281875","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281875","url":null,"abstract":"High penetration of renewable energy in distribution networks brings both voltage and frequency fluctuations to the power grid. Conventionally, system frequency and network voltage regulation are separately considered. However, due to the relatively low $X/R$ ratio of distribution lines, frequency regulation and voltage regulation by distributed generation units are not decoupled. To this end, this paper presents a fuzzy logic controller (FLC) to coordinately and adaptively regulate system frequency and bus voltages using distributed energy storage systems (DESSs). The complex power from the DESSs and their interfacing converters are effectively utilized for simultaneous voltage and frequency regulation. The proposed method is demonstrated on the 7-bus distribution network, and the simulation results verify that it can adaptively and coordinately regulate voltages and frequency within operating limits.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121511395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281888
Anyang He, Z. Jiao, Zongbo Li
A transformer protection scheme based on the deep forest is proposed to improve the performance of transformer protection. Considering that the magnetization curve can reflect the essential cause of the inrush current, but it is difficult to measure, the voltage and differential current sequences are selected as alternative input of the deep forest. The classification deviation of each layer is defined to automatically determine the depth of the deep forest. The protection acts based on the algorithm output. The deep forest is trained by the simulation sampling data from PSCAD/EMTDC simulation. The performance of the deep forest algorithm is verified through simulation data and dynamic model experimental data. The test results show that the deep forest algorithm can identify the operating states of transformer quickly and reliably. It has good generalization and no requirement of high sampling frequency, and has certain adaptability to CT saturation and over excitation.
{"title":"A Transformer Protection Scheme Based on The Deep Forest Algorithm","authors":"Anyang He, Z. Jiao, Zongbo Li","doi":"10.1109/PESGM41954.2020.9281888","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281888","url":null,"abstract":"A transformer protection scheme based on the deep forest is proposed to improve the performance of transformer protection. Considering that the magnetization curve can reflect the essential cause of the inrush current, but it is difficult to measure, the voltage and differential current sequences are selected as alternative input of the deep forest. The classification deviation of each layer is defined to automatically determine the depth of the deep forest. The protection acts based on the algorithm output. The deep forest is trained by the simulation sampling data from PSCAD/EMTDC simulation. The performance of the deep forest algorithm is verified through simulation data and dynamic model experimental data. The test results show that the deep forest algorithm can identify the operating states of transformer quickly and reliably. It has good generalization and no requirement of high sampling frequency, and has certain adaptability to CT saturation and over excitation.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121583177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281439
Seyed Masoud Mohseni‐Bonab, A. Hajebrahimi, A. Moeini, I. Kamwa
The load increment as the consequence of electrification of everything in the modern distribution networks, makes it imperative to analyze the interactions between electric power transmission and distribution (T&D) systems. Such a massive electrification may deteriorate voltage profiles and power exchanges, which results consequently in lower grid efficiency. As a low-cost and effective solution, the installed controllable devices for voltage in distribution networks such as under-load tap changer (ULTC) and capacitor banks can be optimized to overcome the aforementioned challenges. This paper proposes a new integrated transmission and distribution co-simulation platform where the aggregated loads in transmission system simulator (i.e. MATLAB) are replaced by a distribution network modeled in distribution system simulator (OpenDSS) through a Python interface. The overall T&D system efficiency is then optimized while maximizing loading margin (LM) and minimizing the total system power losses are contemplated as two objective functions. The proposed approach is applied on a constructed T&D grid with 68K nodes and the results demonstrate that the efficiency of the T&D grid can be improved by optimal setting of the control variables.
{"title":"Optimization Application in Integrated Transmission and Distribution Operation: Co-Simulation Approach","authors":"Seyed Masoud Mohseni‐Bonab, A. Hajebrahimi, A. Moeini, I. Kamwa","doi":"10.1109/PESGM41954.2020.9281439","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281439","url":null,"abstract":"The load increment as the consequence of electrification of everything in the modern distribution networks, makes it imperative to analyze the interactions between electric power transmission and distribution (T&D) systems. Such a massive electrification may deteriorate voltage profiles and power exchanges, which results consequently in lower grid efficiency. As a low-cost and effective solution, the installed controllable devices for voltage in distribution networks such as under-load tap changer (ULTC) and capacitor banks can be optimized to overcome the aforementioned challenges. This paper proposes a new integrated transmission and distribution co-simulation platform where the aggregated loads in transmission system simulator (i.e. MATLAB) are replaced by a distribution network modeled in distribution system simulator (OpenDSS) through a Python interface. The overall T&D system efficiency is then optimized while maximizing loading margin (LM) and minimizing the total system power losses are contemplated as two objective functions. The proposed approach is applied on a constructed T&D grid with 68K nodes and the results demonstrate that the efficiency of the T&D grid can be improved by optimal setting of the control variables.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114706542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9282140
Chengcheng Shao, Xuliang Li, Boyang Zhao, Xifan Wang
Demand response enables numerous small-scale consumers to minimize their costs as independent decision-makers. Consequently, the power system operation is dominated by the equilibrium of multiple end-users. This paper proposes the concept of user equilibrium of DR in the smart grid representing a state that no end-users can profit more by adjusting their own consumption. Then the user equilibrium is reformulated as the solution of a convex programming problem, named as the user equilibrium problem. The corresponding proof is also provided. An efficient solution algorithm is proposed to obtain the equilibrium among numerous end-users based on the branch-and-price method. Compared with the existing works, the operating constraints of flexible loads are modelled in details and can be considered. Numerical examples are presented to validate the proposed concept and method.
{"title":"User Equilibrium of Demand Response in Smart Grid","authors":"Chengcheng Shao, Xuliang Li, Boyang Zhao, Xifan Wang","doi":"10.1109/PESGM41954.2020.9282140","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9282140","url":null,"abstract":"Demand response enables numerous small-scale consumers to minimize their costs as independent decision-makers. Consequently, the power system operation is dominated by the equilibrium of multiple end-users. This paper proposes the concept of user equilibrium of DR in the smart grid representing a state that no end-users can profit more by adjusting their own consumption. Then the user equilibrium is reformulated as the solution of a convex programming problem, named as the user equilibrium problem. The corresponding proof is also provided. An efficient solution algorithm is proposed to obtain the equilibrium among numerous end-users based on the branch-and-price method. Compared with the existing works, the operating constraints of flexible loads are modelled in details and can be considered. Numerical examples are presented to validate the proposed concept and method.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114827139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281487
Weitao Yao, Yu Wang, Yan Xu, R. T. Naayagi
In this paper, the communication time-delay stability margin analysis of an islanded microgrid (MG) are presented. Firstly, an accurate small-signal model is developed considering the communication delay among the communication links of secondary control. Each sub-module modeling of microgrid including inverter, line, load and secondary controller is developed respectively. Besides, an eigenvalue approach is proposed in this paper. Based on the developed MG small-signal model, the maximum delayed time (MDT) is redefined to access the stability margin for the MG system. Lastly, a compensating secondary controller is proposed to mitigate the impact of time delay. The effectiveness and accuracy of the proposed method and controller are validated by time-domain simulations.
{"title":"Communication Time-Delay Stability Margin Analysis of the Islanded Microgrid under Distributed Secondary Control","authors":"Weitao Yao, Yu Wang, Yan Xu, R. T. Naayagi","doi":"10.1109/PESGM41954.2020.9281487","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281487","url":null,"abstract":"In this paper, the communication time-delay stability margin analysis of an islanded microgrid (MG) are presented. Firstly, an accurate small-signal model is developed considering the communication delay among the communication links of secondary control. Each sub-module modeling of microgrid including inverter, line, load and secondary controller is developed respectively. Besides, an eigenvalue approach is proposed in this paper. Based on the developed MG small-signal model, the maximum delayed time (MDT) is redefined to access the stability margin for the MG system. Lastly, a compensating secondary controller is proposed to mitigate the impact of time delay. The effectiveness and accuracy of the proposed method and controller are validated by time-domain simulations.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126390105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High impedance fault (HIF) detection is a serious challenge of distribution networks. Data-based HIF detection methods have attracted the attention of researchers, but is hard to be applied into practical situation caused by unavailable data. In this paper, a Convolutional Neural Network (CNN) based transfer learning method for HIF detection is proposed by using distribution-level phasor measurement units (D-PMUs) data. The synchronous transient HIF characteristics are extracted of the zero sequence current by wavelet transform. To uniform the size of data, principal component analysis (PCA) is adopted to form the input feature. Then, a 3-layer CNN model was pre-trained by a typical 20-node distribution network. By fine-tuning with data augmentation, the pre-trained CNN model can be transferred to the target distribution network by just a small amount of data. The performance of proposed method was verified by 2 different distribution networks in PSCAD/EMTDC.
{"title":"A CNN Based Transfer Learning Method for High Impedance Fault Detection","authors":"Yongjie Zhang, Xiaojun Wang, Yiping Luo, Yin Xu, Jinghan He, Guohong Wu","doi":"10.1109/PESGM41954.2020.9281671","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281671","url":null,"abstract":"High impedance fault (HIF) detection is a serious challenge of distribution networks. Data-based HIF detection methods have attracted the attention of researchers, but is hard to be applied into practical situation caused by unavailable data. In this paper, a Convolutional Neural Network (CNN) based transfer learning method for HIF detection is proposed by using distribution-level phasor measurement units (D-PMUs) data. The synchronous transient HIF characteristics are extracted of the zero sequence current by wavelet transform. To uniform the size of data, principal component analysis (PCA) is adopted to form the input feature. Then, a 3-layer CNN model was pre-trained by a typical 20-node distribution network. By fine-tuning with data augmentation, the pre-trained CNN model can be transferred to the target distribution network by just a small amount of data. The performance of proposed method was verified by 2 different distribution networks in PSCAD/EMTDC.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125469149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281522
A. Xue, Feiyang Xu, K. Martin, Jingsong Xu, Hongyu You, T. Bi
Phase angle measurements from phasor measurement units (PMUs) may have errors that can significantly affect line parameter calculation. In this paper, approximate expressions for the influence of phase angle difference errors on line parameter calculation are derived. Specifically, first the PMU phase angle error at both ends of a line is analyzed and an equivalent synchronization error is defined. Second, approximated expressions for the influence of current & voltage phase angle difference error on the line parameters are derived. The voltage amplitude ratio on the relative error of line reactance, resistance and capacitance measurement through the $pi -$type equivalent model are considered. The influence of voltage and current phase angle difference error on reactance and resistance is shown from the perspective of relative sensitivity. The relative sensitivity expressions in active power form are given and the identifiable conditions of line reactance parameters based on PMU data are given. In addition, this paper presents the influence mechanism of voltage magnitude and discusses the case of synchronization issue. Finally, the accuracy of the sensitivity equations are verified by simulations, and the influence of the voltage amplitude ratio and the line flow on the identification result is quantitatively analyzed.
{"title":"Linear Approximations for the Influence of Phasor Angle Difference Errors on Line Parameter Calculation","authors":"A. Xue, Feiyang Xu, K. Martin, Jingsong Xu, Hongyu You, T. Bi","doi":"10.1109/PESGM41954.2020.9281522","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281522","url":null,"abstract":"Phase angle measurements from phasor measurement units (PMUs) may have errors that can significantly affect line parameter calculation. In this paper, approximate expressions for the influence of phase angle difference errors on line parameter calculation are derived. Specifically, first the PMU phase angle error at both ends of a line is analyzed and an equivalent synchronization error is defined. Second, approximated expressions for the influence of current & voltage phase angle difference error on the line parameters are derived. The voltage amplitude ratio on the relative error of line reactance, resistance and capacitance measurement through the $pi -$type equivalent model are considered. The influence of voltage and current phase angle difference error on reactance and resistance is shown from the perspective of relative sensitivity. The relative sensitivity expressions in active power form are given and the identifiable conditions of line reactance parameters based on PMU data are given. In addition, this paper presents the influence mechanism of voltage magnitude and discusses the case of synchronization issue. Finally, the accuracy of the sensitivity equations are verified by simulations, and the influence of the voltage amplitude ratio and the line flow on the identification result is quantitatively analyzed.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125479031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281505
S. Jena, N. Padhy
In this paper, the authors have attempted to address the problem of power sharing in networked hybrid AC/DC micro-grid clusters by utilising back-to-back converter. The hierarchical distributed cooperative control strategy is employed for both the AC and DC microgrid clusters (intra-microgrid control) and an inter-microgrid control strategy employing back-to-back converter for enabling power sharing among the clusters according to the required needs. The distributed secondary control for both the AC and DC MGs aid to reprimand the voltage drops due to presence of cable resistance and droop characteristics. It thus helps to achieve a regulated voltage at both the AC and DC PCC. Particularly in AC MG, it enhances the voltage and power quality. Further, it is worth noting that most of the consensus algorithms are asymptotically convergent and hence in order to achieve finite-time convergence, a modified consensus approach is used for the DC microgrid cluster. This is done to achieve faster consensus irrespective of the unforeseen disturbance / transients that may occur in the AC microgrid clusters. The distributed dynamic averaging consensus algorithm based on PI controllers (DAC-PI) is also investigated for robustness against physical and communication failures. With the proposed inter and intra-microgrid cluster control mechanism, power balance between three phase AC MGs and DC MG is illustrated in this work. This could be utilised as practical applications in stand-alone microgrids, marine power systems, more electric aircraft power systems and can be equipped with mode selection algorithms to enable connection to the utility thereby endowing flexibility and reliability to the network of microgrid clusters. Extensive simulations of test-cases are provided with MATLAB/Simpowersystems platform to elucidate the performance of the proposed control strategy and the hybrid infrastructure.
{"title":"Distributed cooperative control for autonomous hybrid AC/DC microgrid clusters interconnected via back-to-back converter control","authors":"S. Jena, N. Padhy","doi":"10.1109/PESGM41954.2020.9281505","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281505","url":null,"abstract":"In this paper, the authors have attempted to address the problem of power sharing in networked hybrid AC/DC micro-grid clusters by utilising back-to-back converter. The hierarchical distributed cooperative control strategy is employed for both the AC and DC microgrid clusters (intra-microgrid control) and an inter-microgrid control strategy employing back-to-back converter for enabling power sharing among the clusters according to the required needs. The distributed secondary control for both the AC and DC MGs aid to reprimand the voltage drops due to presence of cable resistance and droop characteristics. It thus helps to achieve a regulated voltage at both the AC and DC PCC. Particularly in AC MG, it enhances the voltage and power quality. Further, it is worth noting that most of the consensus algorithms are asymptotically convergent and hence in order to achieve finite-time convergence, a modified consensus approach is used for the DC microgrid cluster. This is done to achieve faster consensus irrespective of the unforeseen disturbance / transients that may occur in the AC microgrid clusters. The distributed dynamic averaging consensus algorithm based on PI controllers (DAC-PI) is also investigated for robustness against physical and communication failures. With the proposed inter and intra-microgrid cluster control mechanism, power balance between three phase AC MGs and DC MG is illustrated in this work. This could be utilised as practical applications in stand-alone microgrids, marine power systems, more electric aircraft power systems and can be equipped with mode selection algorithms to enable connection to the utility thereby endowing flexibility and reliability to the network of microgrid clusters. Extensive simulations of test-cases are provided with MATLAB/Simpowersystems platform to elucidate the performance of the proposed control strategy and the hybrid infrastructure.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125681609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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