引用本文:朱晓荣,鹿国微,谢婉莹.考虑源网荷灵活性资源的配电网储能鲁棒规划[J].电力自动化设备,2021,41(8):
ZHU Xiaorong,LU Guowei,XIE Wanying.Robust planning of energy storage in distribution network considering source-network-load flexible resources[J].Electric Power Automation Equipment,2021,41(8):
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考虑源网荷灵活性资源的配电网储能鲁棒规划
朱晓荣, 鹿国微, 谢婉莹
华北电力大学 新能源电力系统国家重点实验室,河北 保定 071003
摘要:
配电网中风光等分布式发电渗透率增加造成净负荷剧烈波动,导致配电网灵活性需求急剧增加。为此,提出一种考虑源网荷灵活性资源的配电网储能优化配置方法。首先,基于灵活性理论分析配电网中灵活性资源的特性,建立衡量配电网整体灵活性的灵活性供需平衡指标和衡量网络灵活性的支路灵活性应对能力指标;然后,从多时间尺度采用K-means方法和鲁棒优化理论建立不确定运行场景集合;最后,建立以配电网年综合成本最小和日平均灵活性水平最高为优化目标的经济灵活多目标优化模型,并采用内嵌潮流计算的多目标复合差分进化算法进行求解。基于IEEE 33节点配电网系统进行算例设计和仿真,结果验证了所提考虑源网荷灵活性资源的模型在求解储能配置方案上的合理性和有效性。
关键词:  配电网  储能优化配置  灵活性资源  差分进化算法  鲁棒性
DOI:10.16081/j.epae.202104004
分类号:TM715
基金项目:
Robust planning of energy storage in distribution network considering source-network-load flexible resources
ZHU Xiaorong, LU Guowei, XIE Wanying
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China
Abstract:
The increase of permeability of distributed generations such as wind power and photovoltaic power in distribution network causes the drastic fluctuation of net load, which leads to the sharp increase of distribution network’s flexibility demand. Therefore, an optimal configuration method of energy storage in distribution network considering source-network-load flexible resources is proposed. Firstly, based on the flexibility theory, the characteristics of flexible resources in the distribution network are analyzed, and the flexibility supply-demand balance index to measure the distribution network’s overall flexibility and the flexibility response ability index of branch to measure the network’s flexibility are established. Then, K-means method and robust optimization theory are used to establish uncertain operation scenario sets from multiple time scales. Finally, an economical and flexible multi-objective optimization model is established with the minimum annual comprehensive cost of distribution network and the maximum daily average flexibility as its optimization objectives, which is solved by the multi-objective composite differential evolution algorithm with embedded power flow calculation. Based on IEEE 33-bus distribution network system, a numerical example is designed and simulated, and the results verify the rationality and effectiveness of the proposed model considering source-network-load flexible resources in solving the energy storage configuration scheme.
Key words:  distribution network  optimal configuration of energy system  flexible resources  differential evolution algorithm  robustness

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