Optimal allocation strategy of demand response for improving distribution network elasticity

被引：0
|
作者：
Li Z. [1 ]
Zhao B. [1 ]
Lin D. [1 ]
Ni C. [1 ]
Qin Q. [2 ]
Han B. [2 ]
Li G. [2 ]
机构：
[1] Electric Power Research Institute of State Grid Zhejiang Electric Power Co.，Ltd., Hangzhou
[2] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2022年 / 42卷 / 07期
关键词：
demand response; distribution network; elasticity; elasticity mechanical mapping; genetic algorithm; optimal allocation strategy;
D O I：
10.16081/j.epae.202204052
中图分类号：
学科分类号：
摘要：
The development of society and economy puts forward higher requirements for the power supply quality of the power system. The distribution network connected with users is particularly susceptible to disturbances，so its energy supply elasticity needs to be strengthened. With the development of smart grid technology，the energy supply elasticity of grid can be improved by optimizing resource allocation and dispatching demand response resources flexibly. The multi-stage elasticity evaluation model based on mechanical mapping model is used to quantify the effect of the optimal configuration of demand response on the improvement of distribution network elasticity，and the nonlinear optimization problem is solved by genetic algorithm. Finally，the IEEE 33-bus system is taken as an example to verify the rationality and effectiveness of the model in the demand response configuration problem，and the effect of the optimal configuration scheme on the improvement of distribution network elasticity is analyzed. © 2022 Electric Power Automation Equipment Press. All rights reserved.
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页码：143 / 149
页数：6
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