Pub Date : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960546
Vladimir Z. Gjorgievski, Bodan Velkovski, S. Cundeva
The energy shared through collective self-consumption determines the economic savings of an energy community and the revenue losses of its electricity supplier. In this paper, we statistically explore this quantity, based on a sample of 200 hypothetical energy communities. It is found that a typical community shares (4.69 ± 1.26) % of the annual generation and demand, and, from the point of view of the electricity supplier, increases its self-consumption by (9.59 ± 2.89) %. At an annual level, the average energy shared per household is slightly lower than its average monthly electricity use. The results show that the shared energy per household increases with the size of the community, indicating that cooperation with new prosumers leads to an overall net-benefit. Finally, to address the challenge posed by the common lack of high-resolution data, the possibility of estimating the amount of energy shared in a community with a linear regression model, rather than calculating it with granular data, is briefly assessed.
{"title":"Quantification of the Shared Energy in Energy Communities","authors":"Vladimir Z. Gjorgievski, Bodan Velkovski, S. Cundeva","doi":"10.1109/ISGT-Europe54678.2022.9960546","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960546","url":null,"abstract":"The energy shared through collective self-consumption determines the economic savings of an energy community and the revenue losses of its electricity supplier. In this paper, we statistically explore this quantity, based on a sample of 200 hypothetical energy communities. It is found that a typical community shares (4.69 ± 1.26) % of the annual generation and demand, and, from the point of view of the electricity supplier, increases its self-consumption by (9.59 ± 2.89) %. At an annual level, the average energy shared per household is slightly lower than its average monthly electricity use. The results show that the shared energy per household increases with the size of the community, indicating that cooperation with new prosumers leads to an overall net-benefit. Finally, to address the challenge posed by the common lack of high-resolution data, the possibility of estimating the amount of energy shared in a community with a linear regression model, rather than calculating it with granular data, is briefly assessed.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133268584","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960333
P. T. Baboli, Amin Raeiszadeh, Michael Brand, S. Lehnhoff
In this paper, the spatial-temporal correlation between wind turbines has been modeled. Due to the large dimension of the problem (spatial and temporal correlation) and the number of wind turbines, solving the copula-based correlation model is so complicated and requires a decomposition technique. The pair-copula function are employed to decompose the problem into bivariate copula functions and using goodness-of-fit indices, the most suitable copula families are evaluated and selected. This model has then been used to model uncertainties and generate cross-correlated scenarios around the short-term forecast values to include the correlation information in the error models. The generated samples are then represented as histograms, which later are fitted to optimal density functions. The most important contribution of this paper is the introduction of joint-reliability evaluation procedure that integrates the correlation models in the non-sequential Monte Carlo simulation method. The proposed joint-reliability model is applied to real wind farms in Lower Saxony in Germany. The results show that including the concept of correlation in the reliability evaluation lead to more realistic results, and allows to fulfill the ancillary services with a certain level of reliability through uncertain resources.
{"title":"Multivariate Cross-Correlated Reliability Modeling of Wind Turbines using Pair-Copula Functions","authors":"P. T. Baboli, Amin Raeiszadeh, Michael Brand, S. Lehnhoff","doi":"10.1109/ISGT-Europe54678.2022.9960333","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960333","url":null,"abstract":"In this paper, the spatial-temporal correlation between wind turbines has been modeled. Due to the large dimension of the problem (spatial and temporal correlation) and the number of wind turbines, solving the copula-based correlation model is so complicated and requires a decomposition technique. The pair-copula function are employed to decompose the problem into bivariate copula functions and using goodness-of-fit indices, the most suitable copula families are evaluated and selected. This model has then been used to model uncertainties and generate cross-correlated scenarios around the short-term forecast values to include the correlation information in the error models. The generated samples are then represented as histograms, which later are fitted to optimal density functions. The most important contribution of this paper is the introduction of joint-reliability evaluation procedure that integrates the correlation models in the non-sequential Monte Carlo simulation method. The proposed joint-reliability model is applied to real wind farms in Lower Saxony in Germany. The results show that including the concept of correlation in the reliability evaluation lead to more realistic results, and allows to fulfill the ancillary services with a certain level of reliability through uncertain resources.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132435328","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960604
E. Feldhoff, T. Duphorn, S. Schlegel, D. Westermann
The coupling of the electricity and gas sectors can provide degrees of freedom in the provision of CO2 minimal flexibilities, but also increases the complexity of the investigation of maintaining system stability due to the different requirements. To investigate how the failure of generation power or load changes affect the compliance with the stability criteria in the respective grids, a cross-sectoral system model is implemented and evaluated on a real-time simulator. Real-time simulators enable the investigation of state changes in real time. By connecting hardware components such as generation units or loads, the effects on cross-sectoral system operation can be studied in real time in the event of fluctuations in generation or load changes. The cross-sectoral implementation is presented by numerical case studies using the example of a region in Germany for 2 developed scenarios on the real-time simulator OPAL-RT.
{"title":"Cross-sectoral Provision of Ancillary Services in coupled Electricity and Gas Sectors on a Real-Time Simulator","authors":"E. Feldhoff, T. Duphorn, S. Schlegel, D. Westermann","doi":"10.1109/ISGT-Europe54678.2022.9960604","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960604","url":null,"abstract":"The coupling of the electricity and gas sectors can provide degrees of freedom in the provision of CO2 minimal flexibilities, but also increases the complexity of the investigation of maintaining system stability due to the different requirements. To investigate how the failure of generation power or load changes affect the compliance with the stability criteria in the respective grids, a cross-sectoral system model is implemented and evaluated on a real-time simulator. Real-time simulators enable the investigation of state changes in real time. By connecting hardware components such as generation units or loads, the effects on cross-sectoral system operation can be studied in real time in the event of fluctuations in generation or load changes. The cross-sectoral implementation is presented by numerical case studies using the example of a region in Germany for 2 developed scenarios on the real-time simulator OPAL-RT.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"266 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133110632","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960551
Peng Liu, Zhi Wu, W. Gu, Yuping Lu, Yujian Ye, G. Strbac
The computational burden of vulnerability analysis of power networks depends heavily on the management of non-convexities and N-k contingencies. In this paper, a novel spatial branch-and-cut is proposed for the fast screening of vulnerable components. To address the non-convexities in the form of conic equalities, a conic-specific spatial branching strategy is designed to prune the solutions which violate non-convex constraints. To accelerate the process of contingency screening, the modeling of post-contingency load restoration for each contingency is unified and explored through combinatorial cuts. The core idea of the proposed assessment approach is to manage both non-convexities and contingencies in a single spatial branch-and-cut search tree through callback functions, so that the screening for all possible contingencies can be conducted only once. The performance of the vulnerability analysis approach is evaluated on two testing systems. Numerical results show the effectiveness and efficiency of the proposed method.
{"title":"A Non-Convex and Non-Iterative Approach for Fast Vulnerability Analysis of Smart Grids","authors":"Peng Liu, Zhi Wu, W. Gu, Yuping Lu, Yujian Ye, G. Strbac","doi":"10.1109/ISGT-Europe54678.2022.9960551","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960551","url":null,"abstract":"The computational burden of vulnerability analysis of power networks depends heavily on the management of non-convexities and N-k contingencies. In this paper, a novel spatial branch-and-cut is proposed for the fast screening of vulnerable components. To address the non-convexities in the form of conic equalities, a conic-specific spatial branching strategy is designed to prune the solutions which violate non-convex constraints. To accelerate the process of contingency screening, the modeling of post-contingency load restoration for each contingency is unified and explored through combinatorial cuts. The core idea of the proposed assessment approach is to manage both non-convexities and contingencies in a single spatial branch-and-cut search tree through callback functions, so that the screening for all possible contingencies can be conducted only once. The performance of the vulnerability analysis approach is evaluated on two testing systems. Numerical results show the effectiveness and efficiency of the proposed method.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128881052","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960321
Suvi Peltoketo, A. Kuusela, Antti-Juhani Nikkila, Tuomo Mäkihannu, T. Rauhala
Energy transition challenges the methods used in the operational planning of transmission systems and increases the need for more extensive and coordinated use of flexibility mechanisms. This paper presents how different types of flexibility mechanisms can be utilized in the outage planning of transmission systems to mitigate the impacts of N–1 contingency condition during a planned outage and to reduce the need for preventive curtailment. The flexibility mechanisms presented in this paper focus on solving regional and local grid congestions caused by thermal overloading of grid components after a contingency. The analyzed flexibility mechanisms can be divided into two categories: technical and market-based flexibility mechanisms. Factors affecting the feasibility of the analyzed flexibility mechanisms are identified in this paper. The paper discusses how different types of flexibility mechanisms can be combined to solve regional grid congestions considering the short- and long-term thermal ratings of grid components as an enabler of market-based flexibility.
{"title":"Utilization of Flexibility Mechanisms in Regional Outage Planning of Transmission Systems","authors":"Suvi Peltoketo, A. Kuusela, Antti-Juhani Nikkila, Tuomo Mäkihannu, T. Rauhala","doi":"10.1109/ISGT-Europe54678.2022.9960321","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960321","url":null,"abstract":"Energy transition challenges the methods used in the operational planning of transmission systems and increases the need for more extensive and coordinated use of flexibility mechanisms. This paper presents how different types of flexibility mechanisms can be utilized in the outage planning of transmission systems to mitigate the impacts of N–1 contingency condition during a planned outage and to reduce the need for preventive curtailment. The flexibility mechanisms presented in this paper focus on solving regional and local grid congestions caused by thermal overloading of grid components after a contingency. The analyzed flexibility mechanisms can be divided into two categories: technical and market-based flexibility mechanisms. Factors affecting the feasibility of the analyzed flexibility mechanisms are identified in this paper. The paper discusses how different types of flexibility mechanisms can be combined to solve regional grid congestions considering the short- and long-term thermal ratings of grid components as an enabler of market-based flexibility.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115460399","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960588
M. Subasic, G. D. Ave, M. Giuntoli, P. Noglik, K. Knezović, Dmitry Shchetinin, W. Peterson, Wenping Li
With the introduction of advanced metering infrastructure and smart meters at the customers' premises, an unprecedented amount of data becomes available to improve and validate distribution grid models. Therefore, assuming there are distribution grid topological errors, data-driven methods can utilize smart meter data to remedy the real-time topology in which the grid is currently operated and correct the topology errors stored in the database of the distribution management system. In this work, a hybrid methodology, encompassing graph theory and data-driven approaches based on statistical inference, is used to identify the errors in the underlying operational grid topology models. The methodology relies on voltage magnitude timeseries data, which are easily obtained from smart meters.
{"title":"Distribution Grid Topology Calibration Based on a Data-Driven Approach","authors":"M. Subasic, G. D. Ave, M. Giuntoli, P. Noglik, K. Knezović, Dmitry Shchetinin, W. Peterson, Wenping Li","doi":"10.1109/ISGT-Europe54678.2022.9960588","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960588","url":null,"abstract":"With the introduction of advanced metering infrastructure and smart meters at the customers' premises, an unprecedented amount of data becomes available to improve and validate distribution grid models. Therefore, assuming there are distribution grid topological errors, data-driven methods can utilize smart meter data to remedy the real-time topology in which the grid is currently operated and correct the topology errors stored in the database of the distribution management system. In this work, a hybrid methodology, encompassing graph theory and data-driven approaches based on statistical inference, is used to identify the errors in the underlying operational grid topology models. The methodology relies on voltage magnitude timeseries data, which are easily obtained from smart meters.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114976966","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960381
O. Damanik, Ö. C. Sakinci, Goran Grdenić, J. Beerten
This paper investigates the applicability of short-circuit ratio (SCR) as a system strength indicator in power systems with a high penetration of voltage source converters (VSCs). In power systems dominated by synchronous generators, the SCR has been widely used to estimate the system strength by using short-circuit level information obtained at the relevant bus. However, the emerging converter technology such as VSCs has different short-circuit characteristics from synchronous generators, in the sense that the short-circuit currents are typically lower in magnitude and more controllable. Moreover, SCR calculations are based on the static analysis of the power system, neglecting the dynamic and control aspects of VSCs. These aspects raise the question whether the SCR can still be used to evaluate system strength of converter-dominated systems. To this end, in this paper, the fundamental definition of the SCR is revisited, and factors influencing its applicability in converter-dominated power systems are listed. A case study is provided to demonstrate the limitation of the SCR in converter-dominated systems, and the impact of the control strategy on the dynamic performance of the system is also discussed.
{"title":"Evaluation of the use of short-circuit ratio as a system strength indicator in converter-dominated power systems","authors":"O. Damanik, Ö. C. Sakinci, Goran Grdenić, J. Beerten","doi":"10.1109/ISGT-Europe54678.2022.9960381","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960381","url":null,"abstract":"This paper investigates the applicability of short-circuit ratio (SCR) as a system strength indicator in power systems with a high penetration of voltage source converters (VSCs). In power systems dominated by synchronous generators, the SCR has been widely used to estimate the system strength by using short-circuit level information obtained at the relevant bus. However, the emerging converter technology such as VSCs has different short-circuit characteristics from synchronous generators, in the sense that the short-circuit currents are typically lower in magnitude and more controllable. Moreover, SCR calculations are based on the static analysis of the power system, neglecting the dynamic and control aspects of VSCs. These aspects raise the question whether the SCR can still be used to evaluate system strength of converter-dominated systems. To this end, in this paper, the fundamental definition of the SCR is revisited, and factors influencing its applicability in converter-dominated power systems are listed. A case study is provided to demonstrate the limitation of the SCR in converter-dominated systems, and the impact of the control strategy on the dynamic performance of the system is also discussed.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116027608","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960344
V. Helac, S. Smaka, S. Grebović, N. Oprasic
The method of power transformer neutral point grounding is very important for power distribution network operation because it strongly affect the shapes and values of overvoltages and fault currents. Many methods of grounding are used in medium voltage (MV) power distribution networks. The selection of grounding method largely depends on the characteristics of power network connected to the substation. It is also necessary to consider the advantages and disadvantages of various neutral grounding methods during selection process to find the best solution from a technical and economical point of view. The effects of grounding methods on the characteristics of single-phase short circuit fault are discussed in this paper on the example of 110/20 kV substation ′′Bugojno′′. Modeling and simulation of the considered substation, power transmission and distribution lines are implemented in EMTP-RV software.
{"title":"Power Transformer Neutral Point Grounding Methods: Analysis of Fault Characteristics","authors":"V. Helac, S. Smaka, S. Grebović, N. Oprasic","doi":"10.1109/ISGT-Europe54678.2022.9960344","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960344","url":null,"abstract":"The method of power transformer neutral point grounding is very important for power distribution network operation because it strongly affect the shapes and values of overvoltages and fault currents. Many methods of grounding are used in medium voltage (MV) power distribution networks. The selection of grounding method largely depends on the characteristics of power network connected to the substation. It is also necessary to consider the advantages and disadvantages of various neutral grounding methods during selection process to find the best solution from a technical and economical point of view. The effects of grounding methods on the characteristics of single-phase short circuit fault are discussed in this paper on the example of 110/20 kV substation ′′Bugojno′′. Modeling and simulation of the considered substation, power transmission and distribution lines are implemented in EMTP-RV software.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"288 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116176656","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960447
V. Skiparev, J. Belikov, E. Petlenkov, Y. Levron
In this paper, we propose a multi-input multi-output controller for optimal control of nonlinear energy storage, using deep reinforcement learning (DRL) algorithm. This controller provides the frequency support in an isolated microgrid with high penetration of variable renewable energy sources and varying system inertia. To achieve an optimal control we redesigned neural network of actor and critic, simplified deep deterministic policy gradient (DDPG) rules, and reorganized the reward/punishment system. Simulation results show the efficiency of the proposed virtual inertia control architecture in several scenarios.
{"title":"Reinforcement Learning based MIMO Controller for Virtual Inertia Control in Isolated Microgrids","authors":"V. Skiparev, J. Belikov, E. Petlenkov, Y. Levron","doi":"10.1109/ISGT-Europe54678.2022.9960447","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960447","url":null,"abstract":"In this paper, we propose a multi-input multi-output controller for optimal control of nonlinear energy storage, using deep reinforcement learning (DRL) algorithm. This controller provides the frequency support in an isolated microgrid with high penetration of variable renewable energy sources and varying system inertia. To achieve an optimal control we redesigned neural network of actor and critic, simplified deep deterministic policy gradient (DDPG) rules, and reorganized the reward/punishment system. Simulation results show the efficiency of the proposed virtual inertia control architecture in several scenarios.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116428569","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960311
K. Nosrati, A. Tepljakov, E. Petlenkov, Y. Levron, V. Skiparev, J. Belikov
Numerous remote area applications welcome standalone renewable energy power generation systems or isolated microgrids (MGs). Due to the nature of solar and wind energy, the frequency deviation control (FDC) in hybrid MGs has become more complicated and critical than the conventional grid for power quality purposes. By using a coordination control strategy between a double-layered capacitor and a fuel cell, our mission here is to design a FDC system based on the PI controller which is tuned by an artificial neural network (ANN) in a multi-agent structure. To achieve this aim, a reinforcement learning technique is applied to train the ANN-based tuners. The performance of the proposed FDC system has been verified under different conditions by using real data to demonstrate the stability and robustness of the proposed controller.
{"title":"Coordinated PI-based frequency deviation control of isolated hybrid microgrid: An online multi-agent tuning approach via reinforcement learning","authors":"K. Nosrati, A. Tepljakov, E. Petlenkov, Y. Levron, V. Skiparev, J. Belikov","doi":"10.1109/ISGT-Europe54678.2022.9960311","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960311","url":null,"abstract":"Numerous remote area applications welcome standalone renewable energy power generation systems or isolated microgrids (MGs). Due to the nature of solar and wind energy, the frequency deviation control (FDC) in hybrid MGs has become more complicated and critical than the conventional grid for power quality purposes. By using a coordination control strategy between a double-layered capacitor and a fuel cell, our mission here is to design a FDC system based on the PI controller which is tuned by an artificial neural network (ANN) in a multi-agent structure. To achieve this aim, a reinforcement learning technique is applied to train the ANN-based tuners. The performance of the proposed FDC system has been verified under different conditions by using real data to demonstrate the stability and robustness of the proposed controller.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123432501","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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