考虑可再生能源消纳的多能互补虚拟电厂优化调度策略
摘要：围绕“碳达峰、碳中和”目标，能源电力系统“源-网-荷-储”全环节低碳化面临新的要求和挑战，高比例可再生能源发电已成为必然趋势。考虑可再生能源发电的不确定性对电力系统安全稳定运行的影响，利用具备多能互补特性的虚拟电厂(virtual power plant，VPP)是改善该问题的有效途径。为此，提出一种多能互补虚拟电厂优化调度策略。首先，充分考虑多种能源之间的耦合关系，构建计及“源-网-荷-储”全环节的虚拟电厂运行机制；其次，根据所提运行机制，提出以低碳经济为目标的多能互补优化调度模型，通过对各类型装置进行协调调度，促进可再生能源的消纳；最后，以某地区含可再生能源发电在内的多能互补虚拟电厂为参考案例进行仿真分析，验证所提策略的有效性。
Abstract:Focusing on the goal of carbon peak and carbon neutrality, the low-carbonization of the whole link of energy power system (i.e., source-network-load-storage) faces new requirements and challenges. The high proportion of renewable energy generation has become an inevitable trend. Considering the impact of the uncertainty of renewable energy generation on the safe and stable operation of the power system, the use of virtual power plant (VPP) with multi-energy complementary characteristics is a favourable way to solve this problem. Therefore, an optimal scheduling strategy of multi-energy complementary VPP was proposed. Firstly, taking into account the coupling relationship between multiple energy sources, a VPP operation mechanism that takes into account the entire source-grid-load-storage chain was constructed. Secondly, according to the proposed operation mechanism, a multi-energy complementary optimal dispatching model with low carbon economy as the goal was proposed to promote the consumption of renewable energy by coordinating the dispatching of various types of devices. Finally, the effectiveness of the proposed strategy was verified by simulating and analyzing a reference case of a multi-energy complementary VPP including renewable energy generation in a region.
标题：考虑可再生能源消纳的多能互补虚拟电厂优化调度策略
title:Optimal Scheduling Strategy of Multi-Energy Complementary Virtual Power Plant Considering Renewable Energy Consumption
作者：张宁, 朱昊, 杨凌霄, 胡存刚
authors:Ning ZHANG, Hao ZHU, Lingxiao YANG, Cungang HU
关键词：虚拟电厂(VPP),可再生能源,碳达峰,碳中和,源-网-荷-储一体化,优化调度策略,
keywords:virtual power plant (VPP),renewable energy,carbon peak,carbon neutrality,source-grid-load-storage integration,optimal scheduling strategy,
发表日期：2023-10-31
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