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基于虚拟储能的"光伏+储能+电采暖"系统优化调控方法

杨冰山 郭秋婷 谭闳娇 浩皓 李艺瀑 兰华阳

电力系统及其自动化学报2026,Vol.38Issue(4):106-116,11.
电力系统及其自动化学报2026,Vol.38Issue(4):106-116,11.DOI:10.19635/j.cnki.csu-epsa.001783

基于虚拟储能的"光伏+储能+电采暖"系统优化调控方法

Optimal Control Method for PV-energy Storage-electric Heating System Based on Virtual Energy Storage

杨冰山 1郭秋婷 2谭闳娇 3浩皓 2李艺瀑 2兰华阳1

作者信息

  • 1. 三峡大学电气与新能源学院,宜昌 43002
  • 2. 清华大学电机工程与应用电子技术系,北京 100084
  • 3. 三峡大学外国语学院,宜昌 443002
  • 折叠

摘要

Abstract

In view of the seasonal overload of transformers in rural areas of China,the insufficient exploration of collab-orative regulation potential between user photovoltaic-energy storage systems and high heating costs,an optimal control method for distributed electric heating based on virtual energy storage is proposed.First,a virtual energy storage model is developed considering the thermal inertia and thermodynamic characteristics of houses,and the charging and dis-charging of virtual energy storage are managed under the guidance of time-of-use pricing and actual photovoltaic output.Second,users are categorized into differentiated groups,and the operation mode is dynamically switched according to the transformer load rate in the substation area,so as to mitigate the risk of transformer overload.Third,a multi-objec-tive optimization model is established,aiming to minimize heating costs,maximize photovoltaic utilization and optimize the user comfort.In addition,the Big-M method is used to linearize the model,so that an efficient solution is realized.Finally,the proposed method is validated using distributed electric heating parameters from a specific region in Beijing.The results of case studies show that this method can effectively mitigate the power supply pressure on transformers and reduce heating costs while ensuring the user comfort.

关键词

电采暖/虚拟储能/轮流控制策略/优化调控

Key words

electric heating/virtual energy storage/rotation control strategy/optimal control

分类

信息技术与安全科学

引用本文复制引用

杨冰山,郭秋婷,谭闳娇,浩皓,李艺瀑,兰华阳..基于虚拟储能的"光伏+储能+电采暖"系统优化调控方法[J].电力系统及其自动化学报,2026,38(4):106-116,11.

基金项目

国家电网公司科学技术项目(520211240001). (520211240001)

电力系统及其自动化学报

1003-8930

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