基于随机生产模拟的发电系统储能容量优化配置

罗定

doi:10.16513/j.2096-2185.DE.2106003

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分布式能源 ›› 2021, Vol. 6 ›› Issue (1) : 27-34. DOI: 10.16513/j.2096-2185.DE.2106003

学术研究

基于随机生产模拟的发电系统储能容量优化配置

罗定

作者信息 +

Optimal Allocation of Energy Storage Capacity of Power Generation System Based on Probabilistic Production Simulation

Ding LUO

Author information +

文章历史 +

摘要

在发电系统中配置储能可提高系统的灵活性，缓解高比例可再生能源发电并网给调峰带来的压力。在众多的储能技术中，蓄电池储能备受青睐，世界各国兴建了众多蓄电池储能示范项目以促进其发展。在电源端合理配置储能容量，有助于提高发电系统的经济性。为此，提出基于随机生产模拟的发电系统蓄电池储能容量优化配置模型，该模型以发电系统的综合成本最小为目标，计及系统、发电机组以及储能的运行约束；利用含储能的随机生产模拟算法优化确定储能充放电调度策略与最优配置容量。通过IEEE-RTS 79测试系统验证了所提方法与模型的有效性，可为储能电力市场运营和电源规划提供参考。

Abstract

Configuring energy storage in the power generation system can improve the flexibility of the system and relieve the great pressure brought by the grid connection of high proportion renewable energy to peak shaving. Among many energy storage technologies, battery energy storage is favored, and many demonstration projects of battery energy storage have been built around the world to promote its development. Reasonable allocation of energy storage capacity at the power supply end is helpful to improve the economy of power generation system. Therefore, an optimal allocation model of storage battery capacity in power generation system based on probabilistic production simulation was proposed. The model aims at minimizing the comprehensive cost of power generation system, taking into account the operation constraints of system, generator set and energy storage; The probabilistic production simulation algorithm with stored energy was used to optimize the charging and discharging scheduling strategy and optimal allocation capacity of stored energy. The effectiveness of the proposed method and model is verified by IEEE-RTS79 test system, which can provide reference for energy storage power market operation and power supply planning.

导出引用

罗定. 基于随机生产模拟的发电系统储能容量优化配置[J]. 分布式能源. 2021, 6(1): 27-34 https://doi.org/10.16513/j.2096-2185.DE.2106003

Ding LUO. Optimal Allocation of Energy Storage Capacity of Power Generation System Based on Probabilistic Production Simulation[J]. Distributed Energy Resources. 2021, 6(1): 27-34 https://doi.org/10.16513/j.2096-2185.DE.2106003

中图分类号： TK02; TM715

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