Optimal Scheduling Strategies of the Virtual Power Plant Considering Different Development Stages of the Electricity Market

Yunlei Zhang, Kan Yang, B. Zheng, Guorong Zhu, Dixin Wang, S. Li, K. Xu, Teng Tu
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引用次数: 3

Abstract

This paper investigates the scheduling strategies for the virtual power plant (VPP) considering different development stages of the electricity market. Firstly, the operation models are formulated to characterize the aggregated components of VPP, including the distributed photovoltaic (PV), wind turbines, demand resources (DRs), electric vehicles (EV) and combined heat and power (CHP) unit as well as conventional units. Next, different operating frameworks have been proposed in order to derive the scheduling strategies of VPP for different development stages of the electricity market. Specifically, a price taker-based scheduling model is developed for VPP during the early stage of market construction. For the mature stage of market development, a bi-level framework is introduced to simulate the bidding and scheduling strategies of VPP acting as active participates. Moreover, the bi-level framework is further recast as a solvable problem. The proposed method is capable to characterize the scheduling strategies of VPP in different stages of market development.
考虑电力市场不同发展阶段的虚拟电厂最优调度策略
本文研究了考虑电力市场不同发展阶段的虚拟电厂调度策略。首先,建立了VPP的运行模型,描述了VPP的聚合组件,包括分布式光伏(PV)、风力发电机组、需求资源(DRs)、电动汽车(EV)和热电联产(CHP)机组以及常规机组。其次,提出了不同的运行框架,推导出电力市场不同发展阶段的VPP调度策略。具体而言,在市场建设初期,建立了基于价格接受者的VPP调度模型。针对市场发展成熟阶段,引入双层框架,模拟VPP作为主动参与者的竞价和调度策略。此外,将双层框架进一步重塑为一个可解决的问题。该方法能够表征VPP在不同市场发展阶段的调度策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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