An effective reserve capacity optimization method for power systems considering operational reliability with weather conditions

IF 10.1 1区工程技术 Q1 ENERGY & FUELS

Applied Energy Pub Date : 2025-04-10 DOI:10.1016/j.apenergy.2025.125813

Wei Dai, Haoran Shen, Hui Liu, Bochen Shi

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引用次数: 0

Abstract

A reasonable power system reserve is crucial for mitigating uncertain risks. However, determining an effective reserve that achieves both reliability and economics is challenging due to variable operating conditions and complex reliability calculations. This study proposes a reserve capacity optimization method that is embedded in operational reliability, considering multiple uncertainties. A set of operational reliability models for equipment is developed based on the operational status (current) and weather conditions (e.g., freezing rain, temperature, and wind speed). To reduce the computational complexity, a general analytical operational reliability method is proposed based on polynomial chaos expansion, considering the uncertainties of renewable energy, loads, and equipment failures. Using these analytical formulations, a two-stage reserve optimization model considering operational reliability is transformed into a single-stage optimization model, thereby enhancing the computational efficiency without compromising accuracy. Results demonstrate that the proposed method achieved reasonable reserve allocation with fast computation, balancing reliability and economics under variable operating conditions.

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来源期刊

Applied Energy 工程技术-工程：化工

CiteScore

21.20

自引率

10.70%

发文量

1830

审稿时长

41 days

期刊介绍： Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.