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首页> 外文期刊>Journal of Energy Storage >Risk-constrained stochastic optimal allocation of energy storage system in virtual power plants
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Risk-constrained stochastic optimal allocation of energy storage system in virtual power plants

机译：虚拟发电厂储能系统的风险约束随机优化分配

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摘要

This paper aims to develop a decision-making procedure for efficient placement and sizing of energy storage system (ESS) within virtual power plants (VPPs) premises under the uncertainty of market price. The main aim is to minimize the overall cost of VPP within a fixed time horizon planning. The understudy VPP consists of wind turbine, photovoltaic system, curtailable loads, ESS, and diesel generators in which the VPP trades electricity with the upstream grid. The proposed framework investigates both optimal power and optimal energy of ESS based on the available budget for investment. To hedge against the uncertainty of investment, an efficient risk management manner based on the concept of conditional value at risk is applied. Moreover, from the reliability point of view, two reliability indices: the loss of load expectation and energy expected not served, are evaluated under different levels of investment to assess the impact of ESS on VPP reliability. The proposed model is formulated as a mixed-integer nonlinear programming problem and is solved by the well-known General Algebraic Modeling System commercial software package. The effectiveness of the proposed risk-based opti-mization approach is demonstrated through vigorous case studies and comprehensive cost-benefit analysis.
机译：本文旨在制定一个决策程序，以便在虚拟电厂（VPPS）房地内有效地放置和尺寸，以便在市场价格的不确定性下进行虚拟发电厂（VPPS）。主要目的是在固定时间范围规划中最小化VPP的总成本。 Cheaxudy VPP由风力涡轮机，光伏系统，税载荷，ESS和柴油发电机组成，其中VPP与上游电网交易电力。拟议的框架根据投资预算来调查ESS的最佳力量和最佳能量。为了对冲投资的不确定性，应用了基于风险风险的条件价值概念的有效风险管理方式。此外，从可靠性的角度来看，两个可靠性指数：在不同的投资水平下评估了不服务的负载期望和能量的损失，以评估ESS对VPP可靠性的影响。所提出的模型作为混合整数非线性编程问题，由公知的一般代数建模系统商业软件包解决。通过剧烈的案例研究和综合成本效益分析，证明了拟议的基于风险的优化方法的有效性。

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