Research on Joint Bidding in Multi-Market Strategy of Energy Storage Subject

M. Lv, Lei Gan, Mingxuan Zhang
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Abstract

To solve the problems of energy crisis and environmental pollution, the construction of a new power system with high penetration of renewable energy has become a main target in power industry to achieve carbon neutrality. With the operation challenge of power system brought by the explosion of renewable energy generation, onsite battery storage systems.with their high energy density, ability to dynamically absorb, rapid response, and high control accuracy, has become one of the best solutions, which is advocated by Chinese government. However, current onsite storage resources are mostly used to strengthen the operational technique indicators of wind farms or PV stations or realize energy arbitrage with time-horizon price difference. This may undervalue the revenue of storage, because they can also provide regulation capacity to power system, benefiting from take part in ancillary markets. Thus, multiple markets, including energy, frequency control, and reserve market, were analyzed first to estimate the revenue and cost for onsite energy storage subject able to attend. On this base, a mixed integer linear bidding optimization model of onsite energy storage was established to participate multi-market, and solved via a commercial solver. Numerical result shows the feasibility of the proposed method and joint multi-market bidding can effectively increase the profitability of onsite energy storage system.
储能主体多市场策略联合投标研究
为解决能源危机和环境污染问题,构建可再生能源高渗透率的新型电力系统已成为电力行业实现碳中和的主要目标。随着可再生能源发电的爆炸式增长给电力系统带来的运行挑战,现场蓄电池储能系统应运而生。其能量密度高、动态吸收能力强、响应速度快、控制精度高等特点,已成为我国政府倡导的最佳解决方案之一。然而,目前的现场储能资源多用于加强风电场或光伏电站的运行技术指标,或实现具有时间跨度差价的能源套利。这可能低估了储能的收益,因为它们还可以为电力系统提供调节能力,从参与辅助市场中受益。因此,首先分析多个市场,包括能源,频率控制和储备市场,以估计现场储能主体能够参加的收益和成本。在此基础上,建立了参与多市场的现场储能混合整数线性竞价优化模型,并通过商业求解器进行求解。数值计算结果表明,该方法的可行性和联合多市场竞价可以有效地提高现场储能系统的盈利能力。
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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