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Hybrid improved Sparrow Search Algorithm and sequential quadratic programming for solving the cost minimization of a hybrid photovoltaic, diesel generator, and battery energy storage system  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Hybrid improved Sparrow Search Algorithm and sequential quadratic programming for solving the cost minimization of a hybrid photovoltaic, diesel generator, and battery energy storage system

作者:Tian, Hao[1,2];Wang, Keqing[1];Yu, Bing[1];Song, Changpo[1];Jermsittiparsert, Kittisak[3,4,5]

第一作者:Tian, Hao

通讯作者:Jermsittiparsert, K[1];Wang, KQ[2]

机构:[1]Nanjing Univ Informat Sci & Technol, Binjiang Coll, Nanjing, Jiangsu, Peoples R China;[2]Tsinghua Univ, Dept Elect Engn, State Key Lab Control & Simulat Power Syst & Gene, Beijing, Peoples R China;[3]Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam;[4]Duy Tan Univ, Fac Humanities & Social Sci, Da Nang, Vietnam;[5]Henan Univ Econ & Law, MBA Sch, Zhengzhou, Henan, Peoples R China

第一机构:Nanjing Univ Informat Sci & Technol, Binjiang Coll, Nanjing, Jiangsu, Peoples R China

通讯机构:[1]corresponding author), Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam;[2]corresponding author), Nanjing Univ Informat Sci & Technol, Binjiang Coll, Wuxi 214015, Jiangsu, Peoples R China.

年份:0

外文期刊名:ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS

收录:;EI(收录号:20211510188921);Scopus(收录号:2-s2.0-85103623843);WOS:【SCI-EXPANDED(收录号:WOS:000636889200001)】;

语种:英文

外文关键词:Photovoltaic; diesel generator; battery energy storage system; sequential quadratic programming; improved sparrow search algorithm

摘要:In this paper, a hybrid photovoltaic/battery/diesel generator power generation system is designed and optimized to power a network of a remote village in China. The purpose of the system designed here is to lessen the fuel costs of the system dependent on the load demand and some constraints. Therefore, the idea comprises an optimization problem that is solved here based on a new optimization policy by an Improved design of Sparrow Search Algorithm (imSSA) and the Sequential Quadratic Programming (SQP). The results of the proposed method are analyzed in different seasons and also on weekdays and weekends to show their effect on the operational cost of the PV/Diesel BESS system. Final results indicate that in both winter and summer, the weekday costs are lesser than weekend fuel costs. Furthermore, the summer fuel cost is lesser than the winter fuel costs which is because of lesser demand in summer and the higher levels of summer radiation imply less usage of auxiliary origins. The results show that at the weekends cost more than the weekday. For instance, for the proposed mode, the winter weekends and the weekdays' costs are US$12.1 and US$10.2, respectively, or the summer weekends and the weekdays' costs are US$7.3 andUS$5.7, respectively.

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