考虑能源和灵活性市场参与的输电网可再生能源发电容量最大化:一个双层优化模型

IF 5.6 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2025-03-01 Epub Date: 2025-02-04 DOI:10.1016/j.segan.2025.101633
Milad Mousavi , Mahsa Azarnia , Jin Zhong , Sarah Rönnberg
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引用次数: 0

摘要

对可再生能源发电的投资是向可持续电力和能源系统过渡不可或缺的一部分。在这方面,托管容量(HC)的概念对于可再生能源发电投资者和系统运营商来说是一个有用的工具,可以在不修改或加强电网的情况下确定连接的可再生资源的最大数量。然而,现有的研究中有相当一部分是针对配电系统的技术要求,而忽略了输电系统和市场约束。可再生能源发电的采用减少了电力部门对化石燃料资源的依赖,同时也展示了解决系统灵活性需求的能力。本文提出了一种基于市场的方法来最大化输电系统中可再生能源发电的HC,同时考虑能源和灵活性市场。为此,提出了一个双层优化问题来研究可再生能源发电HC最大化的盈利能力。在上层问题中,研究了新一代投资非负盈利能力的HC最大化问题。较低层次的问题涉及能源的社会福利最大化和新的可再生能源发电可以参与的灵活性市场。为避免两层模型的非线性,将其转化为单层混合整数线性规划问题。将该模型应用于一个2总线实例和IEEE 24总线可靠性测试系统(RTS)。结果表明,从市场角度来看,可再生能源发电机组参与柔性市场可以提高其盈利能力,从而提高可再生能源发电的HC。
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Maximization of renewable generation hosting capacity in power transmission grids considering participation in energy and flexibility markets: A bilevel optimization model
Investment in renewable energy generation is integral to transitioning to sustainable power and energy systems. In this regard, the concept of hosting capacity (HC) is a useful tool for renewable generation investors and system operators to identify the maximum quantity of connected renewable resources without modification or strengthening of the grid. However, a considerable part of the extant research addresses the technical requirements of the problem in distribution systems while neglecting the transmission system and market constraints. Renewable generation uptake has reduced reliance on fossil fuel-based resources in the power sector, while also demonstrating capability to address the flexibility needs of the system. This paper proposes a market-based approach for maximizing renewable generation HC in transmission systems considering both energy and flexibility markets. To this end, a bilevel optimization problem is developed to study the profitability of maximizing renewable generation HC. In the upper-level problem, an HC maximization is developed with respect to the non-negative profitability of the new generation investment. The lower-level problem addresses social welfare maximization of energy and flexibility markets in which new renewable energy generation can participate. The formulations are transferred into a single-level mixed-integer linear programming (MILP) problem to avoid the nonlinearity of the bilevel model. The proposed model is applied to a 2-bus illustrative example and the IEEE 24-bus reliability test system (RTS). The results demonstrate that renewable generation units can improve their profitability by participating in the flexibility market and thereby increase the renewable generation HC from a market perspective.
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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