Valuation of State-Of-Charge Management Risks of Energy Storage on Electricity Markets

Jessie Ma, B. Venkatesh
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Abstract

Independent System Operators (ISOs) are confronted with a challenge due to integration of large number of small sized energy storage (ES) units. The challenge stems from choosing: (a) the high cost of monitoring and controlling ES with knowledge of their state of charge (SOC), or (b) absorbing high costs arising from uncertainty and absence of knowing of the SOC values. In either case, these costs would eventually be reflected in electricity prices, and hence ISOs seek to know which of these is the lowest cost option. In this paper, we propose a tool that quantifies the risks associated with allowing private ES owners/operators to manage SOC. SOC can be unavailable at any given hour for any given amount. We solve the UC process for all these scenarios in order to compare impacts, in particular to total commitment costs and prices. We applied our algorithm to a system modelled on a practical transmission system in Ontario. ES units were placed in the system, and their impacts on total commitment costs and prices were observed. Factors that increase total commitments costs include time of day of unavailable ES, larger ES units, and lower availability factors, and vice versa. Using our method, ISOs can make sound policy choices around SOC management responsibility, risk management for unavailable ES, and the role for ES for their unique system.
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电力市场下储能的充电状态管理风险评估
由于大量小型储能单元的集成,独立系统运营商(iso)面临着挑战。挑战来自于选择:(a)在了解其荷电状态(SOC)的情况下监测和控制ES的高成本,或(b)吸收因不确定和不了解SOC值而产生的高成本。在任何一种情况下,这些成本最终都会反映在电价上,因此iso试图知道哪一种是成本最低的选择。在本文中,我们提出了一种工具,可以量化与允许私人ES所有者/运营商管理SOC相关的风险。SOC可以在任何给定的时间为任何给定的数量不可用。我们解决了所有这些场景的UC流程,以便比较影响,特别是总承诺成本和价格。我们将我们的算法应用于一个以安大略省实际输电系统为模型的系统。将ES单元置于系统中,观察其对总承诺成本和价格的影响。增加总承诺成本的因素包括不可用ES的时间、较大的ES单元和较低的可用性因素,反之亦然。使用我们的方法,iso可以围绕SOC管理责任、不可用ES的风险管理以及ES在其独特系统中的角色做出合理的政策选择。
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