电力需求侧空调负荷柔性调控策略研究

doi:10.16180/j.cnki.issn1007-7820.2021.08.010

电子科技 ›› 2021, Vol. 34 ›› Issue (8): 58-63.doi: 10.16180/j.cnki.issn1007-7820.2021.08.010

电力需求侧空调负荷柔性调控策略研究

王福忠¹,李润宇¹,张宏伟²,郭江震¹,张丽¹

1.河南理工大学电气工程与自动化学院,河南焦作 454000
2.国网山西省电力公司翼城县供电公司,山西翼城 043500

收稿日期:2020-04-11 出版日期:2021-08-15 发布日期:2021-08-17
作者简介:王福忠(1961-),男,博士,教授,博士生导师。研究方向:电力系统优化与控制、人工智能控制、智能信息处理与故障诊断。|李润宇(1995-),男,硕士研究生。研究方向:电力系统优化与控制、微电网运行与控制。
基金资助:
国家自然科学基金(U1804143);河南省开放实验室项目(KG2016-7);河南省高等学校重点科研项目(18A470014);河南理工大学博士基金(B2017-20);河南理工大学青年骨干教师项目(2019XQG-17)

Research on Flexible Load Control Strategy of Air Conditioning in Power Demand Side

WANG Fuzhong¹,LI Runyu¹,ZHANG Hongwei²,GUO Jiangzhen¹,ZHANG Li¹

1. School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,China
2. Yicheng Power Supply Company,State Grid Shanxi Electric Power Company,Yicheng 043500,China

Received:2020-04-11 Online:2021-08-15 Published:2021-08-17
Supported by:
Natural Science Foundation of China(U1804143);Open Project of Key Laboratory of Control Engineering of Henan Province(KG2016-7);The Key Scientific Research projects of Henan Higher Education Institutions(18A470014);Doctoral Fund of Henan Polytechnic University(B2017-20);The Youth Backbone Teacher Project of Henan Polytechnic University(2019XQG-17)

摘要/Abstract

摘要：

随着空调在各类建筑中的普及使用,空调负荷已成为影响区域电网稳定运行的重要因素,如果不加以调控,将会影响到整个区域的正常用电。基于此,文中在空调负荷区域分层调控的架构基础上,提出了一种自适应模糊PI三闭环控制策略。该方法将空调负荷信息和模糊控制相结合,通过形成三闭环PI控制对空调负荷进行柔性调控。文中搭建仿真模型来验证该策略的可行性。仿真结果表明,该调控方法的控制精度可达到近99%,为精确控制负荷提供了一种新方法。目前,该调控策略已在某大学进行了实际应用,为将来柔性调控技术的推广提供了理论支持和实践参考。

关键词: 空调负荷, 模糊自适应控制, 三闭环PI控制, 柔性调控, 需求响应

Abstract:

With the widespread use of air conditioning in various buildings, air conditioning load has become an important factor affecting the stable operation of regional power grids. If air conditioning load is not regulated, it will affect the normal electricity consumption of the entire area. Based on this, this study proposes an adaptive fuzzy PI three-closed-loop control strategy based on the framework of layered regulation of air-conditioning load areas. The method combines air-conditioning load information and fuzzy control, and flexibly regulates air-conditioning loads by forming a three-closed-loop PI control, and establishes a simulation model to verify the feasibility of the strategy. The simulation results show that the control accuracy of the control method can reach nearly 99%, which provides a new method for precise load control. The control strategy has been applied in a university, providing theoretical support and practical reference for the future promotion of flexible control technology.

Key words: air conditioning load, fuzzy adaptive control, three-closed-loop PI control, flexible control, demand response

中图分类号:

TP273

王福忠,李润宇,张宏伟,郭江震,张丽. 电力需求侧空调负荷柔性调控策略研究[J]. 电子科技, 2021, 34(8): 58-63.

WANG Fuzhong,LI Runyu,ZHANG Hongwei,GUO Jiangzhen,ZHANG Li. Research on Flexible Load Control Strategy of Air Conditioning in Power Demand Side[J]. Electronic Science and Technology, 2021, 34(8): 58-63.

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e	负荷状态
P(误差为正)	高(实际负荷大于期望荷)	ΔK_p取正,增大K_p。
Z(误差为0)	中(实际负荷等于期望负荷)	ec为N时,超调越来越大,ΔK_p 取负; ec为Z时,Δ K_p取正; ec为P时,正向误差越来越大,ΔK_p取正。
N(误差为负)	低(实际负荷小于期望负荷)	ΔK_p取负,降低K_p。

参数整定方法	超调量
经典Z-N法(单环)	0.215 0%
PSO整定(单环)	0.060 7%
传统三环整定	0.031 9%
模糊控制算法整定(三环)	0.025 8%

电力需求侧空调负荷柔性调控策略研究

Research on Flexible Load Control Strategy of Air Conditioning in Power Demand Side

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[1]	祁鑫,王福忠,张丽,王瑞,王晓慧. 基于SVD-LSTM的高校学生宿舍空调负荷预测[J]. 电子科技, 2020, 33(11): 59-66.
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ΔK_p		ec
ΔK_p		N	Z	P
	N	N	N	N
e	Z	N	P	P
	P	P	P	P

ΔK_p		ec
ΔK_p		N	Z	P
	N	Z	Z	Z
e	Z	P	P	P
	P	Z	Z	Z