Bao Liu, Jun-Zhao Cheng, L. Feng, Teng Li, Zhiyuan Wang, Rui Yang
{"title":"Collaborative Programming of Generation-Network-Energy Storage for the Problems of Distribution Network in Yunnan Province","authors":"Bao Liu, Jun-Zhao Cheng, L. Feng, Teng Li, Zhiyuan Wang, Rui Yang","doi":"10.1109/CEECT55960.2022.10030520","DOIUrl":null,"url":null,"abstract":"A bi-level generation-network-energy storage coordination programming model of an active distribution network (ADN) considering the uncertainty of hydro and photovoltaic (PV) is proposed. Take advantage of the flexible output characteristics of hydropower generators to optimize the installation capacity and siting of distributed PV from the perspective of optimal operation of hydro-PV complementary systems. The upper level of the model is to minimize the comprehensive cost to make decisions on locating and sizing distributed generations (DG) and energy storage. The lower level, with annual operation and maintenance costs and fast voltage stability as the objectives. The economic dispatching of the ADN is realized by taking into account the output of DGs, hydro-PV complementary systems, and the charging and discharging of energy storage. Two-level PSO with a local search algorithm is used to solve this model in a simplified 51-bus distribution network in a region of Yunnan. The simulation results show that the proposed method can effectively reduce the investment cost and operation cost of the ADN, and improve the current problem of low voltage quality under the Yunnan distribution network.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"329 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEECT55960.2022.10030520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A bi-level generation-network-energy storage coordination programming model of an active distribution network (ADN) considering the uncertainty of hydro and photovoltaic (PV) is proposed. Take advantage of the flexible output characteristics of hydropower generators to optimize the installation capacity and siting of distributed PV from the perspective of optimal operation of hydro-PV complementary systems. The upper level of the model is to minimize the comprehensive cost to make decisions on locating and sizing distributed generations (DG) and energy storage. The lower level, with annual operation and maintenance costs and fast voltage stability as the objectives. The economic dispatching of the ADN is realized by taking into account the output of DGs, hydro-PV complementary systems, and the charging and discharging of energy storage. Two-level PSO with a local search algorithm is used to solve this model in a simplified 51-bus distribution network in a region of Yunnan. The simulation results show that the proposed method can effectively reduce the investment cost and operation cost of the ADN, and improve the current problem of low voltage quality under the Yunnan distribution network.