Demand response regulation strategy for power grid accessed with high proportion of renewable energy considering industrial load characteristics

被引：0
|
作者：
Chen G. [1 ]
Yang X. [1 ]
Jiang H. [2 ]
Cui Y. [2 ]
Zhang Y. [1 ]
Hao S. [1 ]
Zhang Y. [1 ]
机构：
[1] School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing
[2] State Grid Heilongjiang Electric Power Co.，Ltd., Harbin
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 04期
基金：
中国国家自然科学基金;
关键词：
conditional deep convolution generative adversarial network; demand response; multi-scenario stochastic programming; multi-time scale; stochastic model predictive control;
D O I：
10.16081/j.epae.202211026
中图分类号：
学科分类号：
摘要：
In order to extract the regulation potential of demand side，a demand response regulation strategy of power grid accessed with high proportion of renewable energy is proposed considering industrial load characteristics. A rolling scheduling framework based on industrial load demand response is designed，the demand response potential of industrial load is extracted by analyzing the production characteristics of different types of industrial loads. Aiming at the uncertainty of renewable energy and load，a conditional deep convolution generative adversarial network scenario generation method combined with feature loss is proposed to provide typical scenario sets under different time scales for system regulation. Based on the generated scenario set，a multi-scenario stochastic programming combined with stochastic model predictive control method is proposed with the minimum total system operating cost as the object，a multi-time scale rolling scheduling optimization model is constructed，and the optimal strategy of industrial load demand response in different stages is obtained. The simulative results of improved IEEE 30-bus and IEEE 118-bus systems verify the applicability and effectiveness of the proposed model and strategy. © 2023 Electric Power Automation Equipment Press. All rights reserved.
引用
收藏
页码：177 / 184
页数：7
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