Electricity arbitrage for mobile energy storage in marginal pricing mechanism via bi-level programming

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems Pub Date : 2024-10-25 DOI:10.1016/j.ijepes.2024.110330

Kunpeng Tian, Yi Zang, Jun Wang, Xiaoyuan Zhang

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Abstract

The rapid growth of renewable energy is integrated into the distribution system. The creation of both new market mechanisms and investment models has critical effects on the economics and security of the distribution market. Mobile energy storage has been used to increase the resilience of distribution grids due to their advantages in mobility and flexibility, which offer electricity arbitrage options for merchant investments. This paper presents a bi-level optimization framework based on location marginal pricing settlement of mobile energy storage financial rights revenue in active distribution systems. In the developed framework, the upper-level problem determines the optimal capacity, routing, and dispatching of mobile energy storage to maximize revenue in the liberalized electricity market. The lower-level problem performs the joint optimization of energy and reserve market clearing as well as renewable energy capacity optimization based on the alternating current optimal power flow model. The non-convexity of the line flow and location marginal pricing is linearized via second-order cone relaxation and Karush-Kuhn-Tucker. The bi-level programming is reformatted as mathematical programming with equilibrium constraints. Further, the revenue risk due to renewable energy uncertainty is measured via conditional value-at-risk. Finally, the effectiveness of the optimization framework and solution method is verified using the modified IEEE-33 test system. The results show that mobile energy storage promotes renewable energy and reduces distribution network costs by 2.3%.

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通过双级编程实现边际定价机制下移动储能的电力套利

可再生能源的快速增长已融入配电系统。新市场机制和投资模式的建立对配电市场的经济性和安全性产生了至关重要的影响。移动储能因其在移动性和灵活性方面的优势，为商家投资提供了电力套利选择，已被用于提高配电网的弹性。本文提出了一种基于位置边际定价的双层优化框架，用于结算主动配电系统中的移动储能金融权收入。在开发的框架中，上层问题确定移动储能的最优容量、路由和调度，以实现自由化电力市场中的收益最大化。下层问题基于交流最优功率流模型，对能源和储备市场清算以及可再生能源容量优化进行联合优化。通过二阶锥松弛和卡鲁什-库恩-塔克（Karush-Kuhn-Tucker）对线路流量和位置边际定价的非凸性进行了线性化处理。双级程序设计被重新格式化为带有均衡约束的数学程序设计。此外，可再生能源不确定性导致的收入风险通过条件风险值来衡量。最后，利用修改后的 IEEE-33 测试系统验证了优化框架和求解方法的有效性。结果表明，移动储能促进了可再生能源的发展，并将配电网成本降低了 2.3%。

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来源期刊

International Journal of Electrical Power & Energy Systems 工程技术-工程：电子与电气

CiteScore

12.10

自引率

17.30%

发文量

1022

审稿时长

51 days

期刊介绍： The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.