考虑混合储能调频需求的独立微电网投资优化
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金强(1980),男,博士,高级工程师,主要从事微电网容量优化配置、微电网经济评价研究;Email:jinq1980@126.com

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TM761

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国家自然科学基金(51607153);国家电网公司科技项目(5222JJ17000Y)


Research on investment optimization of standalone microgrid considering frequency modulation with hybrid energy storage
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    摘要:

    独立微电网是解决偏远地区供电问题的有效途径,但独立微电网缺少大电网支撑,调频能力和频率稳定性相对较弱,需要在微电网规划时考虑调频问题。在此背景下,从系统调峰调频双重需要出发,提出兼顾混合储能调频需求的独立微电网投资优化方法。研究满足调频、调峰需求的源/储配置参数关联机理和逻辑关系,建立以系统投资总成本最小为目标,以弃风弃光率、负荷缺电率为主要约束条件的独立微电网优化配置投资模型并利用遗传算法对模型求解。以某海岛微电网为背景进行算例分析,结果表明该方法能够有效兼顾调频调峰需求,实现源/储综合优化配置。

    Abstract:

    Standalone microgrid is an effective way to solve the problem of power supply in remote areas. However, standalone microgrid is lack of the support of large power grid and its frequency modulation capability and frequency stability are relatively weak. It is necessary to consider the frequency modulation in microgrid planning. Under the background, in view of the dual needs of peak modulation and frequency modulation, this paper proposes an investment optimization method of standalone microgrid that takes into account frequency modulation with hybrid energy storage. Firstly, the correlative mechanism and logical relationship of source and storage configuration parameters satisfying the requirements of frequency and peak regulation are studied. Then, an optimal allocation investment model of standalone microgrid is established with the objective of minimizing the total cost of system investment under the main constraints of wind abandonment rate and load power shortage rate. The model is solved by genetic algorithm. Lastly, an island microgrid is taken as the background for example analysis. The results show that the proposed method effectively considers demand of frequency modulation and peak modulation, and realize the integrated optimal allocation of source and storage.

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金强,杨卫红,王涛,等.考虑混合储能调频需求的独立微电网投资优化[J].电力科学与技术学报,2021,36(1):52-62.
JIN Qiang, YANG Weihong, WANG Tao, et al. Research on investment optimization of standalone microgrid considering frequency modulation with hybrid energy storage[J]. Journal of Electric Power Science and Technology,2021,36(1):52-62.

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  • 在线发布日期: 2021-04-16
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