考虑不确定性的虚拟电厂两阶段经济优化运行研究

IF 3 4区 工程技术 Q3 ENERGY & FUELS Energies Pub Date : 2024-08-08 DOI:10.3390/en17163940
Hao Sun, Yanmei Liu, Penglong Qi, Zhi Zhu, Zuoxia Xing, Weining Wu
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引用次数: 0

摘要

在竞争激烈的电力现货市场中,汇集分散资源的虚拟发电厂(VPP)在市场交易过程中面临着各种不确定性。这些不确定性直接影响着虚拟发电厂的经济效益。为了解决 VPP 经济优化中的不确定性问题,我们采用了情景分析方法,将风力涡轮机 (WT)、光伏 (PV) 系统输出和电价的不确定性转化为确定性问题。目标是通过构建基于两阶段随机编程的经济优化决策模型,实现风力发电厂在日前和日内市场(实时平衡市场)的利润最大化。燃气轮机和电动汽车(EV)在日前市场上进行调度和交易,而灵活的储能系统(ESS)则部署在实时平衡市场上。根据仿真分析,在风电机组和光伏系统输出以及电价不确定的情况下,所提出的模型表明,在日前阶段对电动汽车进行有序充电可使 VPP 的收入增加 6.1%。此外,由于 ESS 可以在日内阶段调整日前竞价输出的偏差,因此日前竞价策略变得更加积极主动,从而使 VPP 收入额外增加 3.1%。总体而言,该模式可使发电厂的总收入增加 9.2%。
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Study of Two-Stage Economic Optimization Operation of Virtual Power Plants Considering Uncertainty
In a highly competitive electricity spot market, virtual power plants (VPPs) that aggregate dispersed resources face various uncertainties during market transactions. These uncertainties directly impact the economic benefits of VPPs. To address the uncertainties in the economic optimization of VPPs, scenario analysis is employed to transform the uncertainties of wind turbines (WTs), photovoltaic (PV) system outputs, and electricity prices into deterministic problems. The objective is to maximize the VPP’s profits in day-ahead and intra-day markets (real-time balancing market) by constructing an economic optimization decision model based on two-stage stochastic programming. Gas turbines and electric vehicles (EVs) are scheduled and traded in the day-ahead market, while flexible energy storage systems (ESS) are deployed in the real-time balancing market. Based on simulation analysis, under the uncertainty of WTs and PV system outputs, as well as electricity prices, the proposed model demonstrates that orderly charging of EVs in the day-ahead stage can increase the revenue of the VPP by 6.1%. Additionally, since the ESS can adjust the deviations in day-ahead bid output during the intra-day stage, the day-ahead bidding strategy becomes more proactive, resulting in an additional 3.1% increase in the VPP revenue. Overall, this model can enhance the total revenue of the VPP by 9.2%.
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来源期刊
Energies
Energies ENERGY & FUELS-
CiteScore
6.20
自引率
21.90%
发文量
8045
审稿时长
1.9 months
期刊介绍: Energies (ISSN 1996-1073) is an open access journal of related scientific research, technology development and policy and management studies. It publishes reviews, regular research papers, and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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