Exploring Integrated Demand Elasticity for Market Power Mitigation

Qi An, Jianxiao Wang, Q. Xia, Gengyin Li, Ming Zhou, Zhenyu Chen, Xiaoquan Lu
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Abstract

In the deregulated markets across the world, the marginal pricing (MP) mechanism is widely adopted. However, this mechanism is known to lose market efficiency when units exercise market power to earn more profits. Most of the existing literature focuses on the design of incentive-compatible market mechanism or market regulation policy to mitigate market power for generation. In this paper, we first explore the role of integrated demand elasticity for market power mitigation. A bi-level optimization framework of integrated demand response (IDR) is developed considering the complementary of energy conversion. On the first level, an economic dispatch model is formulated aiming to minimize the total costs of electric power system operation. On the second level, an IDR model is developed, which enables energy users to flexibly switch the source of consumed energy, including natural gas and hydrogen, etc. We propose a solution algorithm that converts the bi-level model into a single-level optimization model by using Karush-Kuhn-Tucker (KKT) conditions. Then the mixed-integer linear programming model can be embedded in the economic dispatch model. Case studies based on the IEEE 30-bus system demonstrate that IDR can significantly improve demand elasticity, and thus effectively mitigate the strategic incentive of thermal generators.
探索整合需求弹性以缓解市场力量
在世界各国解除管制的市场中,边际定价(MP)机制被广泛采用。然而,当单位为了赚取更多的利润而行使市场权力时,这种机制就会失去市场效率。现有文献大多侧重于设计激励相容的市场机制或市场监管政策,以缓解发电的市场力量。本文首先探讨了综合需求弹性在市场力缓解中的作用。考虑能源转换的互补性,提出了综合需求响应(IDR)的双层优化框架。首先,建立了以电力系统运行总成本最小为目标的经济调度模型;第二层是建立IDR模型,使能源用户能够灵活切换所消耗能源的来源,包括天然气和氢气等。本文提出了一种利用KKT条件将双层优化模型转化为单层优化模型的求解算法。然后将混合整数线性规划模型嵌入到经济调度模型中。基于IEEE 30总线系统的案例研究表明,IDR可以显著提高需求弹性,从而有效缓解火力发电机组的战略激励。
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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