Two-Stage Stochastic Optimal Voltage Control of High-Proportional Photovoltaic Distribution Networks Considering Auxiliary Power to Hydrogen
To address the problems such as limited regulation resources, high regulation costs, and slow response speed in traditional distribution network voltage control methods, a two-stage stochastic optimal control strategy with participations of power-to-hydrogen (P2H) devices is investigated. Firstly, v...
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| Format: | Article |
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State Grid Energy Research Institute
2024-08-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202307084 |
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| author | Yajian ZHANG Ci CHEN Fei XUE Li MA Min ZHENG |
| author_facet | Yajian ZHANG Ci CHEN Fei XUE Li MA Min ZHENG |
| author_sort | Yajian ZHANG |
| collection | DOAJ |
| description | To address the problems such as limited regulation resources, high regulation costs, and slow response speed in traditional distribution network voltage control methods, a two-stage stochastic optimal control strategy with participations of power-to-hydrogen (P2H) devices is investigated. Firstly, voltage regulation device operation constraints and distribution network line constraints are modeled. Then a two-stage day-ahead and intra-day voltage optimal control model is developed considering electrolytic gas production revenue. Secondly, to deal with the voltage fluctuations or even over-limitation problem caused by short-term disturbances of renewables and load demands, typical operation scenarios of distribution networks are constructed by adopting Latin hypercube sampling and Kantorovich distance reduction techniques. Then the voltage control strategy is solved by minimizing the expectation of intraday-stage objective functions under all scenarios. Finally, case studies have shown that compared with the traditional voltage methods without considering P2H participations, the voltage over-limitation can be effectively avoided and the total regulation costs can be reduced by over 26.43% by using the proposed method. |
| format | Article |
| id | doaj-art-d72bfb3bf41f4c29aea7ed7ae06e4507 |
| institution | OA Journals |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2024-08-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-d72bfb3bf41f4c29aea7ed7ae06e45072025-08-20T02:04:31ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492024-08-01578233510.11930/j.issn.1004-9649.202307084zgdl-57-08-zhangyajianTwo-Stage Stochastic Optimal Voltage Control of High-Proportional Photovoltaic Distribution Networks Considering Auxiliary Power to HydrogenYajian ZHANG0Ci CHEN1Fei XUE2Li MA3Min ZHENG4School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, ChinaElectric Power Research Institute of State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750000, ChinaDongli Power Supply Branch of State Grid Tianjin Electric Power Company, Tianjin 300000, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, ChinaTo address the problems such as limited regulation resources, high regulation costs, and slow response speed in traditional distribution network voltage control methods, a two-stage stochastic optimal control strategy with participations of power-to-hydrogen (P2H) devices is investigated. Firstly, voltage regulation device operation constraints and distribution network line constraints are modeled. Then a two-stage day-ahead and intra-day voltage optimal control model is developed considering electrolytic gas production revenue. Secondly, to deal with the voltage fluctuations or even over-limitation problem caused by short-term disturbances of renewables and load demands, typical operation scenarios of distribution networks are constructed by adopting Latin hypercube sampling and Kantorovich distance reduction techniques. Then the voltage control strategy is solved by minimizing the expectation of intraday-stage objective functions under all scenarios. Finally, case studies have shown that compared with the traditional voltage methods without considering P2H participations, the voltage over-limitation can be effectively avoided and the total regulation costs can be reduced by over 26.43% by using the proposed method.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202307084power to hydrogendistribution networkcoordinated voltage controlstochastic optimizationuncertainties |
| spellingShingle | Yajian ZHANG Ci CHEN Fei XUE Li MA Min ZHENG Two-Stage Stochastic Optimal Voltage Control of High-Proportional Photovoltaic Distribution Networks Considering Auxiliary Power to Hydrogen Zhongguo dianli power to hydrogen distribution network coordinated voltage control stochastic optimization uncertainties |
| title | Two-Stage Stochastic Optimal Voltage Control of High-Proportional Photovoltaic Distribution Networks Considering Auxiliary Power to Hydrogen |
| title_full | Two-Stage Stochastic Optimal Voltage Control of High-Proportional Photovoltaic Distribution Networks Considering Auxiliary Power to Hydrogen |
| title_fullStr | Two-Stage Stochastic Optimal Voltage Control of High-Proportional Photovoltaic Distribution Networks Considering Auxiliary Power to Hydrogen |
| title_full_unstemmed | Two-Stage Stochastic Optimal Voltage Control of High-Proportional Photovoltaic Distribution Networks Considering Auxiliary Power to Hydrogen |
| title_short | Two-Stage Stochastic Optimal Voltage Control of High-Proportional Photovoltaic Distribution Networks Considering Auxiliary Power to Hydrogen |
| title_sort | two stage stochastic optimal voltage control of high proportional photovoltaic distribution networks considering auxiliary power to hydrogen |
| topic | power to hydrogen distribution network coordinated voltage control stochastic optimization uncertainties |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202307084 |
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