程鑫, 龚贤夫, 周姝灿, 易斌, 杨燕, 左郑敏. 缓解网络阻塞的储能规划综合评价[J]. 高电压技术, 2021, 47(7): 2624-2632. DOI: 10.13336/j.1003-6520.hve.20200625
引用本文: 程鑫, 龚贤夫, 周姝灿, 易斌, 杨燕, 左郑敏. 缓解网络阻塞的储能规划综合评价[J]. 高电压技术, 2021, 47(7): 2624-2632. DOI: 10.13336/j.1003-6520.hve.20200625
CHENG Xin, GONG Xianfu, ZHOU Shucan, YI Bin, YANG Yan, ZUO Zhengmin. Comprehensive Evaluation for Energy Storage Planning to Relieve Network Congestion[J]. High Voltage Engineering, 2021, 47(7): 2624-2632. DOI: 10.13336/j.1003-6520.hve.20200625
Citation: CHENG Xin, GONG Xianfu, ZHOU Shucan, YI Bin, YANG Yan, ZUO Zhengmin. Comprehensive Evaluation for Energy Storage Planning to Relieve Network Congestion[J]. High Voltage Engineering, 2021, 47(7): 2624-2632. DOI: 10.13336/j.1003-6520.hve.20200625

缓解网络阻塞的储能规划综合评价

Comprehensive Evaluation for Energy Storage Planning to Relieve Network Congestion

  • 摘要: 负荷中心地区受制于土地资源、环境保护等因素,电力建设往往投资造价高、建设进度不受控,导致供电能力无法满足电力需求,产生网络阻塞。针对这一问题,研究了缓解网络阻塞的储能规划综合评价。首先从技术指标、经济指标、建设指标3方面建立了缓解网络阻塞的储能规划综合评价指标体系;然后采用粒子群算法优化储能充放电策略,根据储能容量以及充放电策略计算各指标;最后基于主客观相结合的方法求取各指标权重,实现储能规划方案的综合评价。在粤港澳大湾区某负荷中心地区实际系统进行了算例分析,验证了所提方法的有效性,可为储能系统规划提供参考,并作为电网规划的补充和完善。

     

    Abstract: Due to limitations of land resources or environmental factors, construction of power facilities in high load region is often restrained by high investment cost and uncontrolled construction schedule. As a result, power supply capacity is not sufficient to meet the demands, which leads to the network congestion. To solve the problem, the comprehensive evaluation for energy storage planning to relieve network congestion is studied in this paper. Firstly, the comprehensive evaluation index system for energy storage planning is established on three levels: technical indexes, economic indexes, and construction indexes. Secondly, the particle swarm optimization (PSO) is used to optimize the charge and discharge strategy of energy storage, and index system is calculated according to the capacity and strategy. Finally, the weight of each index is calculated based on the combination of subjective and objective methods, to realize the comprehensive evaluation of energy storage planning scheme. The proposed model is simulated and verified on a practical power system in a high load area of the Guangdong-Hong Kong-Macao Greater Bay Area, which indicates that the method provides an effective reference for grid companies to develop energy storage planning, as a supplement and improvement for power grid planning.

     

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