Day-ahead Economical Dispatch of Electricity-Gas-Heat Integrated Energy System Considering User Behaviors

被引:0
|
作者
Zhang T. [1 ]
Zhang J. [1 ]
Wang L. [2 ]
Xu J. [3 ]
Zhang D. [4 ]
Wang C. [1 ]
机构
[1] College of Electrical Engineering and New Energy, China Three Gorges University, Yichang
[2] Hubei Provincial Collaborative Innovation Center for New Energy Microgrid, China Three Gorges University, Yichang
[3] Hangzhou Yuhang District Power Supply Company of State Grid Zhejiang Electric Power Co. Ltd., Hangzhou
[4] Suizhou Power Supply Company of State Grid Hubei Electric Power Co. Ltd., Suizhou
基金
中国国家自然科学基金;
关键词
Day-ahead economic dispatch; Integrated energy system (IES); Integrated purchasing cost; User behavior; Wind power accommodation;
D O I
10.7500/AEPS20180716003
中图分类号
学科分类号
摘要
The ratio of electric and thermal load in the integrated energy system with access of power-to-gas (P2G) equipment is affected by user behaviors. So this paper develops a two-stage day-ahead economical dispatch model of the electricity-gas-heat integrated energy system considering user behaviors. In this model, the minimum deviation between actual forecasting load and target load and the minimum volatility of daily load are taken as the optimization goals of the first stage. Then the electric and thermal load curve under load response is obtained in CPLEX solver. Based on the load obtained in the first stage, the lowest integrated purchasing cost is taken as the optimization goal of the second stage. The seeker optimization algorithm (SOA) is used to solve this nonlinear optimization problem. The quantitative and qualitative analysis of the relationship between the capacity of P2G and energy storage device and the system economy is carried out in four scenarios. The effectiveness of the proposed model is verified in terms of wind power accommodation and system economic operation. © 2019 Automation of Electric Power Systems Press.
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页码:86 / 94
页数:8
相关论文
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