如何利用三级优化框架运行电力市场

IF 4.6 3区 管理学 Q1 BUSINESS
Zhiyuan Yang;Zifan Li;Shuaian Wang;Lu Zhen
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引用次数: 0

摘要

在全球能源格局发生重大变化和电力行业快速转型的背景下,电力市场的复杂性日益增加。迫切需要创新的管理策略和优化解决方案。在此背景下,我们研究了电力市场的优化问题。我们专注于配电网运营商、微电网运营商和产消者之间的相互作用,并开发了一个三级优化框架。该框架模拟了电价设定、风险管理和产消参与的复杂过程,以最大限度地提高盈利能力和运营效率。为了有效地求解这个复杂的模型,我们提出了一种定制化的精确算法。它基于Karush-Kuhn-Tucker条件和l形算法。大量的计算实验证明了该算法的有效性。我们对电力市场运行进行了敏感性分析,结果为电力市场的管理提供了有价值的见解。我们的研究结果表明,微电网运营商应该优先考虑灵活的储能能力和适应性强的定价机制,以有效管理峰值需求,特别是在可再生能源发电量高的时期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How to Operate Electricity Markets Using a Trilevel Optimization Framework
In the context of significant changes in the global energy landscape and the rapid transformation of the power industry, the complexity of electricity markets is growing. There is an urgent need for innovative management strategies and optimization solutions. Against this background, we investigate the optimization problems in electricity markets. We focus on the interactions among distribution network operators, microgrid operators, and prosumers and develop a trilevel optimization framework. This framework models the complex processes of electricity price setting, risk management, and prosumer participation to maximize profitability and operational efficiency. To solve this complex model efficiently, we propose a customized exact algorithm. It is based on the Karush–Kuhn–Tucker conditions and the L-shaped algorithm. Extensive computational experiments prove the effectiveness of the algorithm. We conduct sensitivity analyses on the electricity market operations, and the results provide valuable management insights for electricity markets. Our findings indicate that microgrid operators should prioritize flexible energy storage capacities and adaptable pricing mechanisms to effectively manage peak demand, especially during periods with high renewable generation.
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来源期刊
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
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