基于单元承诺和最优潮流的储能系统最优规模策略

2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) Pub Date : 2021-02-26 DOI:10.1109/ICCCEEE49695.2021.9429653

Mohammed A. Abdulgalil, Megat Gadalla, K. R. Doud

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引用次数: 1

摘要

本文从电力系统优化问题出发，提出了一种新的储能系统优化尺寸策略。这些优化问题包括用混合整数线性规划(MILP)求解的机组承诺(UC)、用线性规划(LP)求解的直流最优潮流(DC- opf)和用非线性规划(NLP)求解的交流最优潮流(AC- opf)。该策略在IEEE可靠性测试系统(RTS-96) 24总线系统上进行了测试。结果表明，本文将ESS集成到微电网系统中是有效的。采用通用代数建模系统(GAMS)对所提出的模型进行建模和求解。

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Unit Commitment and Optimal Power Flow Based Optimal Sizing Strategy of Energy Storage Systems

This paper proposes a new strategy to optimally size an energy storage system (ESS) based on optimization problems in power systems. These optimization problems are unit commitment (UC) which is solved using mixed-integer linear programming (MILP), DC optimal power flow (DC-OPF) which is solved using linear programming (LP), and AC optimal power flow (AC-OPF) which is solved using non-linear programming (NLP). The proposed strategy is tested on the IEEE Reliability Test System (RTS-96) 24-bus system. The results show the effectiveness of integrating an ESS to a power system, which is a microgrid in this paper. General algebraic modeling system (GAMS) is used to model and solve the proposed models.

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来源期刊

2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)

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