Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind- Solar-Hydro complementary power generation system

Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind- Solar-Hydro complementary power generation system

Due to the intermittency and instability of Wind-Solar energy and easy compensation of hydropower, this study proposes a Wind-Solar-Hydro power optimal scheduling model. This model is aimed at maximizing the total system power generation and the minimum ten-day joint output. To effectively optimize...

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Main Authors: Guanjun Liu, Hui Qin, Rui Tian, Lingyun Tang, Jie Li
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2019-08-01
Series:Global Energy Interconnection
Online Access:http://www.sciencedirect.com/science/article/pii/S209651171930091X
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spelling doaj-a99ac4319eaf48a0bb87e3a62215c4d62021-04-02T11:36:26ZengKeAi Communications Co., Ltd.Global Energy Interconnection2096-51172019-08-0124368374Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind- Solar-Hydro complementary power generation systemGuanjun Liu0Hui Qin1Rui Tian2Lingyun Tang3Jie Li4Corresponding author.; School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074 Hubei, P.R.ChinaSchool of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074 Hubei, P.R.ChinaSchool of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074 Hubei, P.R.ChinaSchool of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074 Hubei, P.R.ChinaSchool of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074 Hubei, P.R.ChinaDue to the intermittency and instability of Wind-Solar energy and easy compensation of hydropower, this study proposes a Wind-Solar-Hydro power optimal scheduling model. This model is aimed at maximizing the total system power generation and the minimum ten-day joint output. To effectively optimize the multi-objective model, a new algorithm named non-dominated sorting culture differential evolution algorithm (NSCDE) is proposed. The feasibility of NSCDE was verified through several well-known benchmark problems. It was then applied to the Jinping Wind-Solar-Hydro complementary power generation system. The results demonstrate that NSCDE can provide decision makers a series of optimized scheduling schemes. Keywords: Wind-Solar-Hydro complementary power generation system, Scheduling strategy, Multi-objective optimization, Culture algorithmhttp://www.sciencedirect.com/science/article/pii/S209651171930091X
collection DOAJ
language English
format Article
sources DOAJ
author Guanjun Liu
Hui Qin
Rui Tian
Lingyun Tang
Jie Li
spellingShingle Guanjun Liu
Hui Qin
Rui Tian
Lingyun Tang
Jie Li
Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind- Solar-Hydro complementary power generation system
Global Energy Interconnection
author_facet Guanjun Liu
Hui Qin
Rui Tian
Lingyun Tang
Jie Li
author_sort Guanjun Liu
title Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind- Solar-Hydro complementary power generation system
title_short Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind- Solar-Hydro complementary power generation system
title_full Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind- Solar-Hydro complementary power generation system
title_fullStr Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind- Solar-Hydro complementary power generation system
title_full_unstemmed Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind- Solar-Hydro complementary power generation system
title_sort non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of wind- solar-hydro complementary power generation system
publisher KeAi Communications Co., Ltd.
series Global Energy Interconnection
issn 2096-5117
publishDate 2019-08-01
description Due to the intermittency and instability of Wind-Solar energy and easy compensation of hydropower, this study proposes a Wind-Solar-Hydro power optimal scheduling model. This model is aimed at maximizing the total system power generation and the minimum ten-day joint output. To effectively optimize the multi-objective model, a new algorithm named non-dominated sorting culture differential evolution algorithm (NSCDE) is proposed. The feasibility of NSCDE was verified through several well-known benchmark problems. It was then applied to the Jinping Wind-Solar-Hydro complementary power generation system. The results demonstrate that NSCDE can provide decision makers a series of optimized scheduling schemes. Keywords: Wind-Solar-Hydro complementary power generation system, Scheduling strategy, Multi-objective optimization, Culture algorithm
url http://www.sciencedirect.com/science/article/pii/S209651171930091X
work_keys_str_mv AT guanjunliu nondominatedsortingculturedifferentialevolutionalgorithmformultiobjectiveoptimaloperationofwindsolarhydrocomplementarypowergenerationsystem
AT huiqin nondominatedsortingculturedifferentialevolutionalgorithmformultiobjectiveoptimaloperationofwindsolarhydrocomplementarypowergenerationsystem
AT ruitian nondominatedsortingculturedifferentialevolutionalgorithmformultiobjectiveoptimaloperationofwindsolarhydrocomplementarypowergenerationsystem
AT lingyuntang nondominatedsortingculturedifferentialevolutionalgorithmformultiobjectiveoptimaloperationofwindsolarhydrocomplementarypowergenerationsystem
AT jieli nondominatedsortingculturedifferentialevolutionalgorithmformultiobjectiveoptimaloperationofwindsolarhydrocomplementarypowergenerationsystem
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