Distributed Energy and Reserve Scheduling in Local Energy Communities Using L-BFGS Optimization

IF 6.9 2区 工程技术 Q2 ENERGY & FUELS CSEE Journal of Power and Energy Systems Pub Date : 2024-02-14 DOI:10.17775/CSEEJPES.2023.06270
Mohammad Dolatabadi;Alireza Zakariazadeh;Alberto Borghetti;Pierluigi Siano
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Abstract

Encouraging citizens to invest in small-scale renewable resources is crucial for transitioning towards a sustainable and clean energy system. Local energy communities (LECs) are expected to play a vital role in this context. However, energy scheduling in LECs presents various challenges, including the preservation of customer privacy, adherence to distribution network constraints, and the management of computational burdens. This paper introduces a novel approach for energy scheduling in renewable-based LECs using a decentralized optimization method. The proposed approach uses the Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method, significantly reducing the computational effort required for solving the mixed integer programming (MIP) problem. It incorporates network constraints, evaluates energy losses, and enables community participants to provide ancillary services like a regulation reserve to the grid utility. To assess its robustness and efficiency, the proposed approach is tested on an 84-bus radial distribution network. Results indicate that the proposed distributed approach not only matches the accuracy of the corresponding centralized model but also exhibits scalability and preserves participant privacy.
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利用 L-BFGS 优化本地能源社区的分布式能源和储备调度
鼓励公民投资小型可再生资源对于向可持续和清洁能源系统过渡至关重要。地方能源社区有望在这方面发挥重要作用。然而,LEC 中的能源调度面临着各种挑战,包括保护客户隐私、遵守配电网络限制以及管理计算负担。本文介绍了一种在基于可再生能源的 LEC 中使用分散优化方法进行能源调度的新方法。所提出的方法采用了有限内存 Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) 方法,大大减少了解决混合整数编程 (MIP) 问题所需的计算量。它纳入了网络约束条件,评估了能源损失,并使社区参与者能够向电网公用事业公司提供辅助服务,如调节储备。为了评估该方法的稳健性和效率,我们在一个 84 总线的径向配电网络上对所提出的方法进行了测试。结果表明,所提出的分布式方法不仅与相应的集中式模型的准确性相匹配,而且还具有可扩展性,并能保护参与者的隐私。
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来源期刊
CiteScore
11.80
自引率
12.70%
发文量
389
审稿时长
26 weeks
期刊介绍: The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.
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