Optimal Residential Community Demand Response Scheduling Based on User Preferences and MILP

被引：0

作者：

Peng, Qiya ^{[1
]}

Li, Xiaohui ^{[1
]}

Mao, Shanli ^{[2
]}

Cai, Bin ^{[1
]}

He, Jie ^{[1
]}

Nie, Wei ^{[3
]}

机构：

[1] Wuhan Univ Sci & Technol, Sch Informat Sci & Engn, Wuhan, Peoples R China

[2] Wuhan Netizen Technol Co Ltd, Res Ctr, Wuhan, Peoples R China

[3] Shenglong Elect Grp Co Ltd, Res Ctr, Wuhan, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC 2024 | 2024年

关键词：

smart residential community; demand response; mixed integer linear programming; user willingness price; ELECTRICITY; PRICE; GAME;

D O I：

10.1109/CCDC62350.2024.10587752

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Demand response manages energy demand to match available energy in the smart grid. Residential community loads in the smart grid are diverse and flexible. To integrate user preferences with demand response scheduling for residential communities, a centralized demand response scheduling algorithm is proposed. In this paper, user willingness price is first introduced through fuzzy c-means to quantify user preferences. Secondly, a complete residential community DR scheduling algorithm is established based on use preference and mixed integer linear programming to minimize the total energy cost of the residential community. Simulation results show that the proposed algorithm can reduce the total energy cost of the residential community and communication traffic.

引用

页码：2307 / 2312

页数：6

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