Microgrid energy management strategy considering source-load forecast error

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC International Journal of Electrical Power & Energy Systems Pub Date : 2024-11-17 DOI:10.1016/j.ijepes.2024.110372

Kaikai Zhang , Guibin Zou , Jinliang Zhang , Houlei Li , Yazhong Sun , Guoliang Li

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Abstract

Hybrid energy storage system (HESS) can stabilize renewable energy power generation, but unreasonable energy storage power distribution and photovoltaic-load forecast errors will affect the economic benefits of the whole system. Aiming at the microgrid (MG) composed of photovoltaic (PV) and HESS, an energy management strategy (EMS) of MG considering forecast errors is proposed. Firstly, an optimization model considering the depreciation cost of battery is established. Secondly, day-ahead EMS is implemented under multiple operating modes considering minimum fluctuation and optimal economy. Then, according to the real-time forecast results and the feedback of system operation status, the intraday rolling energy management strategy (REMS) is developed to alleviate the impact of forecast errors. Finally, the real-time state of charge (SOC) of the supercapacitor (SC) is introduced to adjust the filter coefficient, which avoids the SC working in the charge/discharge restricted area for a long time and improves the adjustment effect. The results of the case analysis show that the proposed intraday REMS can effectively reduce the influence of forecast errors on energy management.

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考虑源负荷预测误差的微电网能源管理策略

混合储能系统（HESS）可以稳定可再生能源发电，但不合理的储能功率分配和光伏负荷预测误差会影响整个系统的经济效益。针对由光伏和储能系统组成的微电网（MG），提出了一种考虑预测误差的微电网能源管理策略（EMS）。首先，建立了考虑电池折旧成本的优化模型。其次，考虑最小波动和最佳经济性，在多种运行模式下实施日前 EMS。然后，根据实时预测结果和系统运行状态反馈，制定日内滚动能源管理策略（REMS），以减轻预测误差的影响。最后，引入超级电容器（SC）的实时充电状态（SOC）来调整滤波系数，避免了 SC 长期工作在充放电限制区，提高了调节效果。案例分析结果表明，所提出的日内 REMS 可以有效降低预测误差对能源管理的影响。

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来源期刊

International Journal of Electrical Power & Energy Systems 工程技术-工程：电子与电气

CiteScore

12.10

自引率

17.30%

发文量

1022

审稿时长

51 days

期刊介绍： The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.