户用多微网系统的事件驱动型自动需求响应策略

吴杭飞; 杨晓东; 张有兵; 杨宇; 潘红武; 黄晓明

doi:10.7500/AEPS20190521001

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户用多微网系统的事件驱动型自动需求响应策略

研制与开发 | 更新时间：2025-06-16

- 户用多微网系统的事件驱动型自动需求响应策略
- Event-driven Automatic Demand Response Strategy for Residential Multi-microgrid System
- 电力系统自动化-方正平台 2020年44卷第9期页码：119-127
- 作者机构：
  
  1.浙江工业大学信息工程学院，浙江省杭州市 310023
  2.强电磁工程与新技术国家重点实验室(华中科技大学)，湖北省武汉市 430074
  3.国网湖州市供电公司，浙江省湖州市 313099
- 作者简介：
  
  吴杭飞(1993—)，男，硕士研究生，主要研究方向:电动汽车和微电网的需求响应。E-mail：hangfeiwu@163.com
  杨晓东(1990—)，男，博士，主要研究方向：新能源并网、多微电网系统、需求响应、电力系统优化与控制等。E-mail：yang_xd90@163.com
  张有兵(1971—)，男，通信作者，教授，博士生导师，主要研究方向：智能电网、分布式发电及新能源优化控制、电动汽车入网、电力系统通信、电能质量监控等。E-mail：youbingzhang@zjut.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(51777193);中国博士后创新人才支持计划资助项目(BX20190126)
- DOI：10.7500/AEPS20190521001
  中图分类号：
- 收稿日期：2019-05-21，
  
  修回日期：2019-09-27，
  
  网络出版日期：2020-02-14，
  
  纸质出版日期：2020-05-10
- 稿件说明：
移动端阅览
吴杭飞,杨晓东,张有兵等.户用多微网系统的事件驱动型自动需求响应策略[J].电力系统自动化,2020,44(9):119-127.

WU Hangfei,YANG Xiaodong,ZHANG Youbing,et al.Event-driven Automatic Demand Response Strategy for Residential Multi-microgrid System[J].Automation of Electric Power Systems,2020,44(9):119-127.
吴杭飞,杨晓东,张有兵等.户用多微网系统的事件驱动型自动需求响应策略[J].电力系统自动化,2020,44(9):119-127. DOI： 10.7500/AEPS20190521001.

WU Hangfei,YANG Xiaodong,ZHANG Youbing,et al.Event-driven Automatic Demand Response Strategy for Residential Multi-microgrid System[J].Automation of Electric Power Systems,2020,44(9):119-127. DOI： 10.7500/AEPS20190521001.

摘要

考虑到户用负荷的多样性、丰富性及用电随机性带给户用多微网系统互联运行的极大挑战，提出一种基于事件驱动机制的自动需求响应策略。采用事件驱动机制，将户用微网的运行状况划分为不同的事件。根据事件驱动信号，结合价格激励与调度潜力引导负荷完成自身用电优化，以此实现自动需求响应。在此基础上，将能级概念引入能量共享模型中，通过对多微网系统中各个子微网的能级计算，决定微网间的交互功率，降低了网间与网内的耦合性，使得能量共享模型具有较低的复杂性。以某一户用多微网系统为例进行仿真分析，仿真结果表明所提算法能够有效降低户用多微网系统的运行成本，提高优化效率。

Abstract

This paper proposes an automatic demand response strategy based on event-driven mechanism

considering great challenges brought by the diversity and richness of residential loads and random electricity consumption behaviors to residential multi-microgrid system. The operation statuses of residential microgrids are divided into different events by using event-driven mechanism. The residential load is guided to fulfil consumption optimization considering price incentive and schedulable potential with the event-driven signal

so as to achieve automatic demand response. On this basis

the concept of energy level is introduced to the energy sharing model. By calculating the energy levels of each sub-microgrid in multi-microgrid system

the interactive power among microgrids is determined. The decoupling between inter-network and intra-network can decrease the complexity of energy sharing model. The numerical simulation results of a residential multi-microgrid system show that the proposed algorithm can effectively reduce operation cost of residential multi-microgrid system and improve optimization efficiency.

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Keywords

references

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