Dealing With Inefficiencies of Electricity Markets by Internalization of Negative Externalities of the Operational Restrictions of Generating Units

Sarineh Hacopian Dolatabadi;Mohammad Amin Latify;Hamidreza Karshenas;Alimorad Sharifi;Nikos D. Hatziargyriou
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Abstract

Economic efficiency is the main goal of all markets, including the electricity market. Technical and pecuniary restrictions, known as externalities, caused by the technical limits of generation units are inherent in electricity markets and can significantly affect their economic efficiency. In this article, an efficient service-based method is proposed aimed at internalizing negative externalities in the electricity markets. The method employs services procured by energy storage systems and responsive demand to internalize the generation sector's technical externalities. For the optimal capacity and price of the proposed service, bi-level optimization and an innovative discriminatory pricing scheme are applied. In this way, the first-best optimal market solution can be reached by internalizing the negative externalities in the sub-optimal second-best solution due to the generators' operational constraints. Numerical case studies verify the effectiveness of the proposed scheme, where considering nearly 5% responsive demand and storage capacity around 5% of peak load, it is possible to achieve economic efficiency by reducing the total cost. In real power systems, this cost reduction can result in millions of dollars in annual operational cost savings.
通过发电设备运行限制的负外部性内部化解决电力市场的低效率问题
经济效率是包括电力市场在内的所有市场的主要目标。由发电机组的技术限制引起的技术和金钱限制,称为外部性,是电力市场固有的,可以显著影响其经济效率。本文提出了一种有效的基于服务的方法,旨在将电力市场的负外部性内部化。该方法采用储能系统采购的服务和响应性需求来内部化发电部门的技术外部性。针对最优容量和最优价格,采用了双层优化和创新的歧视性定价方案。这样,由于发电商的运行约束,次优次优方案的负外部性可以内部化,从而达到第一优市场解决方案。数值算例研究验证了该方案的有效性,考虑到近5%的响应需求和约5%的峰值负荷的存储容量,可以通过降低总成本来实现经济效益。在实际的电力系统中,这种成本的降低每年可以节省数百万美元的运营成本。
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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