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考虑多能耦合的虚拟电厂优化运行模型与策略研究

江阎 宋晨辉 张宁 贺波 卢宇婷

综合智慧能源2025,Vol.47Issue(1):34-41,8.
综合智慧能源2025,Vol.47Issue(1):34-41,8.DOI:10.3969/j.issn.2097-0706.2025.01.005

考虑多能耦合的虚拟电厂优化运行模型与策略研究

Study on optimized operation model and strategy for virtual power plants considering multi-energy coupling

江阎 1宋晨辉 2张宁 3贺波 2卢宇婷1

作者信息

  • 1. 长沙理工大学 电气与信息工程学院,长沙 410114
  • 2. 长沙理工大学 电气与信息工程学院,长沙 410114||长沙理工大学 电网防灾减灾全国重点实验室,长沙 410114
  • 3. 安徽大学电气工程与自动化学院,合肥 230601
  • 折叠

摘要

Abstract

An optimized operation model for virtual power plants(VPPs),which considers the multi-energy coupling characteristics of energy parks,is proposed to address issues like energy supply-demand imbalance and operational inefficiency caused by large-scale integration of renewable energy into the power grid.First,the basic concept of a VPP tailored for a multi-energy coupling park was introduced.Then,a power balance model for various energy systems within the VPP was developed,taking into account both multi-energy economic operations and renewable energy consumption needs within the park.Building upon this power balance model,an optimal operation model for a multi-energy coupled VPP was formulated,utilizing mixed integer linear programming for solving the model.Finally,simulations were conducted on the VPP incorporating multi-energy coupling equipment,demonstrating that this optimized model significantly enhanced the comprehensive utilization efficiency of heterogeneous energy sources,reduced operational costs,and improved the rate of renewable energy consumption.

关键词

虚拟电厂/多能耦合/优化运行/就地消纳/"双碳"目标/总运行成本/新能源消纳

Key words

virtual power plant(VPP)/multi-energy coupling/optimized operation/local consumption/"dual carbon"target/total operating cost/renewable energy consumption

分类

能源科技

引用本文复制引用

江阎,宋晨辉,张宁,贺波,卢宇婷..考虑多能耦合的虚拟电厂优化运行模型与策略研究[J].综合智慧能源,2025,47(1):34-41,8.

基金项目

国家自然科学基金项目(52307079) (52307079)

湖南省自然科学基金项目(2024JJ6050)National Natural Science Foundation of China(52307079) (2024JJ6050)

Project supported by Provincial Natural Science Foundation of Hunan(2024JJ6050) (2024JJ6050)

综合智慧能源

2097-0706

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