Wensheng Li, Bin Yang, Z. Yuan, Dan Huang, Peifen Cheng, Jiangyang Yun
{"title":"多能电力系统容量比优化研究","authors":"Wensheng Li, Bin Yang, Z. Yuan, Dan Huang, Peifen Cheng, Jiangyang Yun","doi":"10.1109/CEEPE55110.2022.9783338","DOIUrl":null,"url":null,"abstract":"In order to achieve the goal of \"double carbon\", it is urgent to build a new power system with new energy as the main body. It is vital for the construction and planning of new power system to reasonably optimize the installed ratio of various power supplies. To this end, this paper proposes a capacity allocation optimization method of multi energy power system based on complementary equilibrium theory, and establishes the capacity optimization models of multi-energy system such as wind power, thermal power, nuclear power and energy storage with the objective of minimizing the operation cost of the whole network. The model adopts the load characteristics, the output characteristics of new energy and the operation characteristics of energy storage power stations in the target power grid. The annual output time series of wind/photovoltaic and the load series are used as the input of the model. Through the annual time series production simulation calculation, the optimal capacity ratio of wind-photovoltaic-thermal-nuclear-storage system is determined to meet the conditions. Finally, a regional power grid in China is demonstrated as an example to verify the effectiveness and practicability of the proposed model and method.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Study on Capacity Ratio Optimization of Multi-Energy Power System\",\"authors\":\"Wensheng Li, Bin Yang, Z. Yuan, Dan Huang, Peifen Cheng, Jiangyang Yun\",\"doi\":\"10.1109/CEEPE55110.2022.9783338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to achieve the goal of \\\"double carbon\\\", it is urgent to build a new power system with new energy as the main body. It is vital for the construction and planning of new power system to reasonably optimize the installed ratio of various power supplies. To this end, this paper proposes a capacity allocation optimization method of multi energy power system based on complementary equilibrium theory, and establishes the capacity optimization models of multi-energy system such as wind power, thermal power, nuclear power and energy storage with the objective of minimizing the operation cost of the whole network. The model adopts the load characteristics, the output characteristics of new energy and the operation characteristics of energy storage power stations in the target power grid. The annual output time series of wind/photovoltaic and the load series are used as the input of the model. Through the annual time series production simulation calculation, the optimal capacity ratio of wind-photovoltaic-thermal-nuclear-storage system is determined to meet the conditions. Finally, a regional power grid in China is demonstrated as an example to verify the effectiveness and practicability of the proposed model and method.\",\"PeriodicalId\":118143,\"journal\":{\"name\":\"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEEPE55110.2022.9783338\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on Capacity Ratio Optimization of Multi-Energy Power System
In order to achieve the goal of "double carbon", it is urgent to build a new power system with new energy as the main body. It is vital for the construction and planning of new power system to reasonably optimize the installed ratio of various power supplies. To this end, this paper proposes a capacity allocation optimization method of multi energy power system based on complementary equilibrium theory, and establishes the capacity optimization models of multi-energy system such as wind power, thermal power, nuclear power and energy storage with the objective of minimizing the operation cost of the whole network. The model adopts the load characteristics, the output characteristics of new energy and the operation characteristics of energy storage power stations in the target power grid. The annual output time series of wind/photovoltaic and the load series are used as the input of the model. Through the annual time series production simulation calculation, the optimal capacity ratio of wind-photovoltaic-thermal-nuclear-storage system is determined to meet the conditions. Finally, a regional power grid in China is demonstrated as an example to verify the effectiveness and practicability of the proposed model and method.