Frequency control of power grids has become a relevant research topic due to the massive integration of renewable generation in power systems. Frequency control of traditional thermal generating units with relatively slow ramp rate cannot meet the frequency regulation requirements of power grid. Thus, the inclusion of energy storage system (ESS) at the thermal generation frequency control output can be used to improve the speed of load following and increase the profiles of ancillary service. In this paper, the economic assessment of energy storage system investments in thermal generation station is studied. A methodology has been presented here for the financial calculations of the ESS providing frequency regulation. A numerical case study based on frequency profiles of Yunnan power grid is simulated.
{"title":"Economic Assessment of Energy Storage System Frequency Regulation in Thermal Generation Station","authors":"Tianyu You, Huaye Huang, Ziming He, Sixian Yu, Haiyun Zhu, Weike Mo","doi":"10.1109/ICPES56491.2022.10072912","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072912","url":null,"abstract":"Frequency control of power grids has become a relevant research topic due to the massive integration of renewable generation in power systems. Frequency control of traditional thermal generating units with relatively slow ramp rate cannot meet the frequency regulation requirements of power grid. Thus, the inclusion of energy storage system (ESS) at the thermal generation frequency control output can be used to improve the speed of load following and increase the profiles of ancillary service. In this paper, the economic assessment of energy storage system investments in thermal generation station is studied. A methodology has been presented here for the financial calculations of the ESS providing frequency regulation. A numerical case study based on frequency profiles of Yunnan power grid is simulated.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134589226","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 : 2022-12-23DOI: 10.1109/ICPES56491.2022.10072439
Jing Chen, Jiandong Duan, Zhenghao Qi, Tong Gao, Yang Zhang
In recent years, the proportion of wind power generation in the grid has become higher and higher. Doubly-fed induction generator (DFIG) has become the mainstream wind turbine of distributed wind farms. For DFIG, large rotor currents and DC bus voltages will be generated when the grid voltage swells. Without protection, the converter may be damaged. It is essential to enhance the fault ride through capability of DFIG and reduce the impact on the stable operation of power grid. Therefore, a high voltage ride-through (HVRT) control strategy considering dynamic reactive power compensation is investigated to address this problem. Firstly, the original control strategy is described. Secondly, variation of the stator flux is considered during the grid fault. Thirdly, the grid-side converter (GSC) and the rotor-side converter (RSC) output reactive current to provide reactive power compensation. Finally, simulation results analyses are conducted by MATLAB/Simulink to evaluate the effectiveness of the proposed strategy.
{"title":"A HVRT Control Strategy for DFIG Considering Dynamic Changes of Stator Flux and Dynamic Reactive Power Compensation","authors":"Jing Chen, Jiandong Duan, Zhenghao Qi, Tong Gao, Yang Zhang","doi":"10.1109/ICPES56491.2022.10072439","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072439","url":null,"abstract":"In recent years, the proportion of wind power generation in the grid has become higher and higher. Doubly-fed induction generator (DFIG) has become the mainstream wind turbine of distributed wind farms. For DFIG, large rotor currents and DC bus voltages will be generated when the grid voltage swells. Without protection, the converter may be damaged. It is essential to enhance the fault ride through capability of DFIG and reduce the impact on the stable operation of power grid. Therefore, a high voltage ride-through (HVRT) control strategy considering dynamic reactive power compensation is investigated to address this problem. Firstly, the original control strategy is described. Secondly, variation of the stator flux is considered during the grid fault. Thirdly, the grid-side converter (GSC) and the rotor-side converter (RSC) output reactive current to provide reactive power compensation. Finally, simulation results analyses are conducted by MATLAB/Simulink to evaluate the effectiveness of the proposed strategy.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124500153","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 : 2022-12-23DOI: 10.1109/ICPES56491.2022.10072580
Tao Luo, Dezheng Zhang, Kui Wang, Zhenchuan Ma, Wenbo Xuan, Haozhong Cheng
URV AC transmission has the characteristics of large capacity, long distance, low loss and effective utilization of transmission corridor. It is an inevitable choice for the development of power grid in China. The operation of UHV AC system will have a considerable impact on the operation economy and stability of power grid, and also put forward new requirements for reactive power planning. In this paper, a two-stage reactive power planning model is proposed, in which the first-stage reactive power planning model aims at the minimization of system operation cost, active power loss and traversing reactive power under normal conditions. The second-stage model is to obtain the optimal reactive power planning scheme with the goal of minimizing the investment cost and the constraint of voltage stability margin under severe faults based on the first-stage planning scheme. Finally, the effectiveness of this model is verified through numerical results.
{"title":"Research on Reactive Power Planning for Power Grid with the Integration of UHV AC System","authors":"Tao Luo, Dezheng Zhang, Kui Wang, Zhenchuan Ma, Wenbo Xuan, Haozhong Cheng","doi":"10.1109/ICPES56491.2022.10072580","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072580","url":null,"abstract":"URV AC transmission has the characteristics of large capacity, long distance, low loss and effective utilization of transmission corridor. It is an inevitable choice for the development of power grid in China. The operation of UHV AC system will have a considerable impact on the operation economy and stability of power grid, and also put forward new requirements for reactive power planning. In this paper, a two-stage reactive power planning model is proposed, in which the first-stage reactive power planning model aims at the minimization of system operation cost, active power loss and traversing reactive power under normal conditions. The second-stage model is to obtain the optimal reactive power planning scheme with the goal of minimizing the investment cost and the constraint of voltage stability margin under severe faults based on the first-stage planning scheme. Finally, the effectiveness of this model is verified through numerical results.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125344529","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 : 2022-12-23DOI: 10.1109/ICPES56491.2022.10073120
Hanjun Deng, M. Yu, Suihan Zhang, Xing He, Yeqing Ma, Rui Ma, Rui Huang, Wenwei Zeng, Jiale Li
With the rapid development of economy and technology, the demand for electricity is growing day by day. In order to make the clean energy fully absorbed, different types of load are divided and modeled from the home users with photovoltaic power generation system. On this basis, a multi-objective optimization model based on power consumption and user comfort index was established, and then a household electricity optimization scheme based on user demand response was proposed. Finally, the effectiveness of the scheme was verified by simulation. While effectively saving electricity costs for users, we can better consume photovoltaic power generation and achieve peak cutting and valley filling.
{"title":"Optimal Design of Household Electricity Consumption with Distributed Photovoltaic System Based on User Demand Response","authors":"Hanjun Deng, M. Yu, Suihan Zhang, Xing He, Yeqing Ma, Rui Ma, Rui Huang, Wenwei Zeng, Jiale Li","doi":"10.1109/ICPES56491.2022.10073120","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10073120","url":null,"abstract":"With the rapid development of economy and technology, the demand for electricity is growing day by day. In order to make the clean energy fully absorbed, different types of load are divided and modeled from the home users with photovoltaic power generation system. On this basis, a multi-objective optimization model based on power consumption and user comfort index was established, and then a household electricity optimization scheme based on user demand response was proposed. Finally, the effectiveness of the scheme was verified by simulation. While effectively saving electricity costs for users, we can better consume photovoltaic power generation and achieve peak cutting and valley filling.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129088255","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}
This paper designs an algorithm for fast fault diagnosis for inverters, which utilizes the theoretical idea of model reference adaptive systems. Firstly, the inverter system model is established, and the estimation of rotor angle is obtained according to the model reference adaptive theory. Then, the estimation and the actual angle are used to obtain the residual error as a fault diagnosis variable, which is beneficial to improve the rapidity of the algorithm. In addition, in order to increase the accuracy of fault location, three-phase normalized currents are combined to complete location of specific fault switch tubes. The proposed algorithm does not need to add additional hardware facilities, and is real-time, fast, and simple. Results are shown to validate the proposed algorithm.
{"title":"Fast Open-Switch Fault Diagnosis Based on Model Reference Adaptive Theory Applied to Inverter System","authors":"Haoran Yin, Qing Chen, Xing Guo, Xinyuan Qiu, Xuxing Duan, Xiangji Zhao","doi":"10.1109/ICPES56491.2022.10073066","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10073066","url":null,"abstract":"This paper designs an algorithm for fast fault diagnosis for inverters, which utilizes the theoretical idea of model reference adaptive systems. Firstly, the inverter system model is established, and the estimation of rotor angle is obtained according to the model reference adaptive theory. Then, the estimation and the actual angle are used to obtain the residual error as a fault diagnosis variable, which is beneficial to improve the rapidity of the algorithm. In addition, in order to increase the accuracy of fault location, three-phase normalized currents are combined to complete location of specific fault switch tubes. The proposed algorithm does not need to add additional hardware facilities, and is real-time, fast, and simple. Results are shown to validate the proposed algorithm.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134385373","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 : 2022-12-23DOI: 10.1109/ICPES56491.2022.10073063
Lai Zihan, Dai Yuhan, Wen Fuguang
Modern power system shows the characteristics of high proportion of renewable energy and power electronic equipment (referred to as “double high”). Affected by the “double high” characteristics, in addition to power frequency signals, large amount of harmonic and interharmonic signals exist in the system. Resulting in the effect of broadband oscillation by the interaction between those signals of different frequencies and power frequency in the system, which may severely threaten the safe and stable operation of power system. At the current stage, the occurrence of broadband oscillation is mainly determined by measurement of the three-phase instantaneous power. However, the result might be confusing when three-phase imbalance occurs in the system. To solve this, the paper provides a broadband measurement method based on the algorithm of positive sequence instantaneous power, which significantly increases the accuracy of the measurement. This feasibility of the proposed method is verified by implementation results presented in the paper.
{"title":"Broadband Measurement Scheme Based on Positive Sequence Instantaneous Power Algorithm","authors":"Lai Zihan, Dai Yuhan, Wen Fuguang","doi":"10.1109/ICPES56491.2022.10073063","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10073063","url":null,"abstract":"Modern power system shows the characteristics of high proportion of renewable energy and power electronic equipment (referred to as “double high”). Affected by the “double high” characteristics, in addition to power frequency signals, large amount of harmonic and interharmonic signals exist in the system. Resulting in the effect of broadband oscillation by the interaction between those signals of different frequencies and power frequency in the system, which may severely threaten the safe and stable operation of power system. At the current stage, the occurrence of broadband oscillation is mainly determined by measurement of the three-phase instantaneous power. However, the result might be confusing when three-phase imbalance occurs in the system. To solve this, the paper provides a broadband measurement method based on the algorithm of positive sequence instantaneous power, which significantly increases the accuracy of the measurement. This feasibility of the proposed method is verified by implementation results presented in the paper.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117331783","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}
The power grid operation management process will produce a lot of text information data. However, there is no direct and precise correspondence between the key items in the textual records and the management sectors of the grid. Thus, the matching of the textual data and the management sectors of power grid operation and management is still mainly done by human resources. In order to improve the automation and efficiency of power grid operation and management, a matching decision model for power grid management sectors based on fuzzy matching is proposed. Firstly, a gravitational coefficient matrix is constructed to reflect the degree of association between the text keywords and each management sector of the power grid. Then, a scalar matrix is constructed to reflect the keyword information of the text data, and then the scalar matrix is multiplied with the mass matrix to obtain the fuzzy matching degree of the text data and each power grid management sector. Finally, the matching power grid management sector is selected according to the fuzzy matching degree matrix. In the case analysis part, 570 grid operation texts of a power company were taken as samples. The results show that the proposed fuzzy theory-based power grid management sector matching decision model has high matching accuracy and can achieve the management sector identification of power grid operation management text data.
{"title":"A Multi-dimensional Division Decision Model of Power Grid Management Based on Fuzzy Matching","authors":"Chenying Feng, Xiaodong Xu, Jinsong Jia, ChenShu Shen, Zehua Chen","doi":"10.1109/ICPES56491.2022.10072935","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072935","url":null,"abstract":"The power grid operation management process will produce a lot of text information data. However, there is no direct and precise correspondence between the key items in the textual records and the management sectors of the grid. Thus, the matching of the textual data and the management sectors of power grid operation and management is still mainly done by human resources. In order to improve the automation and efficiency of power grid operation and management, a matching decision model for power grid management sectors based on fuzzy matching is proposed. Firstly, a gravitational coefficient matrix is constructed to reflect the degree of association between the text keywords and each management sector of the power grid. Then, a scalar matrix is constructed to reflect the keyword information of the text data, and then the scalar matrix is multiplied with the mass matrix to obtain the fuzzy matching degree of the text data and each power grid management sector. Finally, the matching power grid management sector is selected according to the fuzzy matching degree matrix. In the case analysis part, 570 grid operation texts of a power company were taken as samples. The results show that the proposed fuzzy theory-based power grid management sector matching decision model has high matching accuracy and can achieve the management sector identification of power grid operation management text data.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116655529","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 : 2022-12-23DOI: 10.1109/ICPES56491.2022.10072489
Han Wu, Yang Yuan, W. Yu, Chao Wu, Hao Huang, Annan Dong
In this paper, a ensemble weather forecasting method based on multi-initial value, multi-mode and multi-physical process, with multiple algorithm perturbations, and BMA+EMOS statistical modeling is proposed. Based on the ensemble weather forecasting method, a new energy probabilistic power prediction method combining taboo algorithm and BP neural network algorithm is proposed. Through the design example analysis, the proposed method can effectively reduce the prediction bias, reduce the upper and lower limit bandwidth of probability prediction by 25%, and overcome the power distribution fat tail and multimodal anomalies, making the power prediction results more stable and accurate.
{"title":"Research on New Energy Probability Prediction Technology Based on Ensemble Weather Forecast","authors":"Han Wu, Yang Yuan, W. Yu, Chao Wu, Hao Huang, Annan Dong","doi":"10.1109/ICPES56491.2022.10072489","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072489","url":null,"abstract":"In this paper, a ensemble weather forecasting method based on multi-initial value, multi-mode and multi-physical process, with multiple algorithm perturbations, and BMA+EMOS statistical modeling is proposed. Based on the ensemble weather forecasting method, a new energy probabilistic power prediction method combining taboo algorithm and BP neural network algorithm is proposed. Through the design example analysis, the proposed method can effectively reduce the prediction bias, reduce the upper and lower limit bandwidth of probability prediction by 25%, and overcome the power distribution fat tail and multimodal anomalies, making the power prediction results more stable and accurate.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116254651","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 : 2022-12-23DOI: 10.1109/ICPES56491.2022.10072656
Kaihui Feng, Chenhui Song, B. Huang, Jing Hu, Hu Yan, Zihan Meng
While China's new energy maintains a rapid development momentum, grid consumption capacity is facing great challenges. In-depth peak regulation of grid peak regulation units represents a powerful measure for raising the new energy consumption level. This paper proposes an automatic control method for grid peak regulation units to improve the consumption level of new energy power generation. In this method, the relationship between new energy consumption and grid power regulation units is constructed. On this basis, considering the new energy consumption and related costs of various factors involved in grid power regulation unit control, the grid peak regulation unit control method and model are established and a multi-objective particle swarm optimization algorithm is adopted. The simulation results show that the proposed method can refine the control of the output of grid peak regulation units, effectively increase new energy consumption, and urge the grid toward a high security margin.
{"title":"Research on the Automatic Control of Grid Peak Regulation Units to Improve the New Energy Consumption Level","authors":"Kaihui Feng, Chenhui Song, B. Huang, Jing Hu, Hu Yan, Zihan Meng","doi":"10.1109/ICPES56491.2022.10072656","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072656","url":null,"abstract":"While China's new energy maintains a rapid development momentum, grid consumption capacity is facing great challenges. In-depth peak regulation of grid peak regulation units represents a powerful measure for raising the new energy consumption level. This paper proposes an automatic control method for grid peak regulation units to improve the consumption level of new energy power generation. In this method, the relationship between new energy consumption and grid power regulation units is constructed. On this basis, considering the new energy consumption and related costs of various factors involved in grid power regulation unit control, the grid peak regulation unit control method and model are established and a multi-objective particle swarm optimization algorithm is adopted. The simulation results show that the proposed method can refine the control of the output of grid peak regulation units, effectively increase new energy consumption, and urge the grid toward a high security margin.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116430191","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 : 2022-12-23DOI: 10.1109/ICPES56491.2022.10073230
Jinrong Chen, Bo Li, Weinian Ouyang, Tianlun Wang, Tingwei Chen
A bi-level optimal allocation model of renewable energy cluster planning and operation is established in order to maximize the consumption of renewable energy based on the security and stability of the power system are ensured. The planning layer applied the particle swarm optimization algorithm, and the results were used as the input of the operation layer. The optimization model of the operation layer used the CVX toolbox, and the output results are used to evaluate the planning results. An improved bare-bones multi-objective particle swarm optimizer (IBB-MOPSO) algorithm is proposed to overcome the shortcomings of traditional particle swarm optimization (PSO), including the lack of diversity and easy to fall into local optimum. Building on the advantages of the bare-bones particle swarm algorithm (BB-PSO) with high adaptability and few control parameters, the global search and local exploitation capabilities are further enhanced by improvements. The effectiveness of the optimization configuration model and the solution algorithm is verified through the numerical simulations. The proposed method is universal, as the appropriate optimal solution can be selected according to specific demands for configuration in practical applications.
{"title":"Distributed Renewable Energy Cluster Configuration Based on Improved Bare-Bones Multi-objective Particle Swarm Optimization","authors":"Jinrong Chen, Bo Li, Weinian Ouyang, Tianlun Wang, Tingwei Chen","doi":"10.1109/ICPES56491.2022.10073230","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10073230","url":null,"abstract":"A bi-level optimal allocation model of renewable energy cluster planning and operation is established in order to maximize the consumption of renewable energy based on the security and stability of the power system are ensured. The planning layer applied the particle swarm optimization algorithm, and the results were used as the input of the operation layer. The optimization model of the operation layer used the CVX toolbox, and the output results are used to evaluate the planning results. An improved bare-bones multi-objective particle swarm optimizer (IBB-MOPSO) algorithm is proposed to overcome the shortcomings of traditional particle swarm optimization (PSO), including the lack of diversity and easy to fall into local optimum. Building on the advantages of the bare-bones particle swarm algorithm (BB-PSO) with high adaptability and few control parameters, the global search and local exploitation capabilities are further enhanced by improvements. The effectiveness of the optimization configuration model and the solution algorithm is verified through the numerical simulations. The proposed method is universal, as the appropriate optimal solution can be selected according to specific demands for configuration in practical applications.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117017260","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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