%0 Journal Article
%T 虚拟电厂的优化调度技术与市场机制的综述与展望&#8212;&#8212;一种微电网系统的优化方案<br>A Review and Prospect of Virtual Power Plant Optimization Dispatch Technology and Market Mechanism&#8212;An Optimization Scheme for Microgrid System
%A 邹程润
%A 杨天奇
%A 孙晨煊
%A 王天野
%A 吕佳霖
%A 孙奕翔
%A 于洁
%J Advances in Energy and Power Engineering
%P 48-57
%@ 2328-0506
%D 2025
%I Hans Publishing
%R 10.12677/aepe.2025.131006
%X 本文深入分析现有微电网的技术现状、实践应用及存在的问题&#65292;探讨新型电力系统的新需求&#65292;提出并分析了具有创新储能系统和调度算法的微电网系统&#65292;包括电池周期性安全评估、盘式液风散热结构、储能变流器管理装置、智能电力调度算法等产品设计。阐述了该系统在能源聚合、协同调控、安全运行等方面的技术进展。最后探讨了源网荷储一体化的发展&#65292;包括&#8220;双碳&#8221;背景下的源网荷储一体化、技术突破以及其对虚拟电厂实现的助力作用。本文提出的新型微电网体系有助于减少分布式发电模块出力不确定性&#65292;保障虚拟电厂稳定运行&#65292;推动能源转型和智能电力网络构建。<br>This paper conducts an in-depth analysis of the current technical status, practical applications, and existing problems of microgrids, explores the new demands of the new power system, and proposes and analyzes a microgrid system with innovative energy storage systems and dispatching algorithms, including battery periodic safety assessment, disc-type liquid air cooling structure, energy storage converter management device, intelligent power dispatching algorithm, and other product designs. It elaborates on the technological progress of this system in energy aggregation, coordinated regulation, and safe operation. Finally, it discusses the development of source-grid-load-storage integration, including source-grid-load-storage integration under the &#8220;dual carbon&#8221; background, technological breakthroughs, and its facilitating role in the realization of virtual power plants. The new microgrid system proposed in this paper helps to reduce the output uncertainty of distributed generation modules, ensure the stable operation of virtual power plants, and promote energy transformation and the construction of intelligent power networks.
%K 微电网&#65292
%K 虚拟电厂&#65292
%K 储能系统&#65292
%K 调度算法&#65292
%K 源网荷储一体化&#65292
%K 智能电力调度<br>Microgrid
%K Virtual Power Plant
%K Energy Storage System
%K Scheduling Algorithm
%K Source-Grid-Load-Storage Integration
%K Intelligent Power Scheduling
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=108130