Low carbon economic dispatch of integrated energy system considering wind and solar uncertainty and electric vehicles

被引：0
|
作者：
Zhang C. [1 ]
Kuang Y. [1 ]
Zou F. [1 ,2 ]
Liu J. [1 ]
Li C. [3 ]
机构：
[1] Fujian Provincial University Engineering Research Center for Simulation Analysis and Integrated Control of Smart Grid, Fujian University of Technology, Fuzhou
[2] Fujian Key Lab for Automotive Electronics and Electric Drive, Fuzhou
[3] Electric Power Research Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2022年 / 42卷 / 10期
基金：
中国国家自然科学基金;
关键词：
bi-level optimization; demand response; dynamic electricity price; electric vehicles; integrated energy system; scenario reduction;
D O I：
10.16081/j.epae.202208003
中图分类号：
学科分类号：
摘要：
Integrated energy system couples multiple energy demands at the load side and it is an effective means to consume distributed energy locally. To coordinate the dispatch problem between integrated energy system and electric vehicles in a multi-stakeholder scenario, a two-layer model optimal dispatch strategy of an integrated energy system that takes into account wind and solar uncertainty and electric vehicles is proposed. Firstly, in view of the randomness of the wind and solar output, the scenarios are generated by Latin hypercube sampling, and then the scenarios are reduced by the fast previous generation elimination technology with improved reduction rate. Secondly, in order to explore the demand response potential of electric vehicles, a dynamic pricing mechanism is proposed to guide the orderly charging and discharging of electric vehicles based on the time-of-use electricity price according to the matching of load and renewable energy. The impact of the charging and discharging strategy on operating costs and carbon emission is also investigated. Finally, the results of the case study show that compared with the time-sharing tariff, the proposed pricing mechanism and scheduling strategy can improve the energy utilization and EV dispatch flexibility, and effectively reduce the operating costs of the two stakeholders and the carbon emission of the system. © 2022 Electric Power Automation Equipment Press. All rights reserved.
引用
收藏
页码：236 / 244
页数：8
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