Two-layer optimal scheduling of park integrated energy system considering the charging and discharging willingness of electric vehicles

With the increasing popularity of electric vehicles, the number of electric vehicle users in industrial parks is increasing, and their charging and discharging behaviors pose great challenges to the planning and operation of park integrated energy system (PIES). A two-layer optimal scheduling of PIE...

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Main Authors: FENG Yemu, LYU Ganyun, SHI Mingming, ZHU Zhiying, WANG Haoyu, CHEN Guangyu
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2024-03-01
Series:电力工程技术
Subjects:
Online Access:https://www.epet-info.com/dlgcjsen/article/abstract/230208095
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author FENG Yemu
LYU Ganyun
SHI Mingming
ZHU Zhiying
WANG Haoyu
CHEN Guangyu
author_facet FENG Yemu
LYU Ganyun
SHI Mingming
ZHU Zhiying
WANG Haoyu
CHEN Guangyu
author_sort FENG Yemu
collection DOAJ
description With the increasing popularity of electric vehicles, the number of electric vehicle users in industrial parks is increasing, and their charging and discharging behaviors pose great challenges to the planning and operation of park integrated energy system (PIES). A two-layer optimal scheduling of PIES considering the charging and discharging willingness of electric vehicles is proposed. Firstly, a charging and discharging willingness model is established based on factors such as dynamic real-time electricity price, battery charge capacity, battery loss compensation, and additional participation incentives. An improved electric vehicle charging and discharging model is obtained on this basis. A two-layer optimal scheduling model is established with the goal of minimizing the charging cost of the car, and the inner model is transformed into the constraints of the outer model through the Karush-Kuhn-Tucker (KKT) condition, so as to quickly and stably solve the single-layer model. Finally, the simulation solution is performed, and three different scenarios are set up. The proposed model is compared with the general charging and discharging willingness model. The effectiveness and feasibility of the two-layer optimal scheduling of PIES proposed in this paper are verified.
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spelling doaj.art-738377cfff8a4fc5bf3dcc2cbf1627e92024-03-25T06:32:59ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032024-03-0143214215310.12158/j.2096-3203.2024.02.015230208095Two-layer optimal scheduling of park integrated energy system considering the charging and discharging willingness of electric vehiclesFENG Yemu0LYU Ganyun1SHI Mingming2ZHU Zhiying3WANG Haoyu4CHEN Guangyu5School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaState Grid Jiangsu Electric Power Co., Ltd. Research Institute, Nanjing 211103, ChinaSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaState Grid Xuzhou Power Supply Company of Jiangsu Electric Power Co., Ltd., Xuzhou 221005, ChinaSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaWith the increasing popularity of electric vehicles, the number of electric vehicle users in industrial parks is increasing, and their charging and discharging behaviors pose great challenges to the planning and operation of park integrated energy system (PIES). A two-layer optimal scheduling of PIES considering the charging and discharging willingness of electric vehicles is proposed. Firstly, a charging and discharging willingness model is established based on factors such as dynamic real-time electricity price, battery charge capacity, battery loss compensation, and additional participation incentives. An improved electric vehicle charging and discharging model is obtained on this basis. A two-layer optimal scheduling model is established with the goal of minimizing the charging cost of the car, and the inner model is transformed into the constraints of the outer model through the Karush-Kuhn-Tucker (KKT) condition, so as to quickly and stably solve the single-layer model. Finally, the simulation solution is performed, and three different scenarios are set up. The proposed model is compared with the general charging and discharging willingness model. The effectiveness and feasibility of the two-layer optimal scheduling of PIES proposed in this paper are verified.https://www.epet-info.com/dlgcjsen/article/abstract/230208095electric vehicle (ev)charging and discharging willingnesspark integrated energy system (pies)dynamic time-of-use electricity pricetwo-layer optimal schedulingbattery loss compensation
spellingShingle FENG Yemu
LYU Ganyun
SHI Mingming
ZHU Zhiying
WANG Haoyu
CHEN Guangyu
Two-layer optimal scheduling of park integrated energy system considering the charging and discharging willingness of electric vehicles
电力工程技术
electric vehicle (ev)
charging and discharging willingness
park integrated energy system (pies)
dynamic time-of-use electricity price
two-layer optimal scheduling
battery loss compensation
title Two-layer optimal scheduling of park integrated energy system considering the charging and discharging willingness of electric vehicles
title_full Two-layer optimal scheduling of park integrated energy system considering the charging and discharging willingness of electric vehicles
title_fullStr Two-layer optimal scheduling of park integrated energy system considering the charging and discharging willingness of electric vehicles
title_full_unstemmed Two-layer optimal scheduling of park integrated energy system considering the charging and discharging willingness of electric vehicles
title_short Two-layer optimal scheduling of park integrated energy system considering the charging and discharging willingness of electric vehicles
title_sort two layer optimal scheduling of park integrated energy system considering the charging and discharging willingness of electric vehicles
topic electric vehicle (ev)
charging and discharging willingness
park integrated energy system (pies)
dynamic time-of-use electricity price
two-layer optimal scheduling
battery loss compensation
url https://www.epet-info.com/dlgcjsen/article/abstract/230208095
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