首页|计及电能量-备用耦合的配电网与光储充电站协调优化调度方法

计及电能量-备用耦合的配电网与光储充电站协调优化调度方法

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针对光储充电站大规模接入给配电网带来的调控压力,提出一种计及电能量和备用耦合的配电网与光储充电站协调优化调度方法.首先,建立基于随机机会约束的光储充电站经济调度模型,得到光储充电站与配电网的电能交互方案和备用需求;随后,采用鲁棒经济调度-线性潮流方法,建立计及不确定性的配电网优化调度模型,并根据Karush-Kuhn-Tucker(KKT)条件推导得到配电节点边际电价和节点备用边际电价,通过电能量和备用价格引导光储充电站友好互动,挖掘站内储能在削峰填谷和备用调节上的潜力.最后,通过算例分析验证了所提方法的有效性.
Coordinated Optimization Scheduling Method for Distribution Networks and Photovoltaic Storage Charging Stations Considering the Coupling of Energy and Reserve
Aiming at the regulatory pressure brought by the large-scale integration of photovoltaic(PV)-storage charging stations into distribution networks,a coordinated optimization scheduling method for distribution networks and PV-storage charging stations considering the coupling of energy and reserve is proposed.Firstly,an economic scheduling model for PV-storage charging stations based on stochastic chance constraints is established to obtain the energy interaction scheme and reserve demand between PV-storage charging stations and distribution networks.Subsequently,a robust economic dispatch-linear power flow method is adopted to establish the optimization dispatch model for distribution networks considering uncertainty.Based on the Karush Kuhn Tucker(KKT)condition,distribution locational marginal price and reserve distribution locational marginal price is derived,guiding the interaction of PV-storage charging stations through energy and reserve prices and the potential of peak load shifting and reserve regulation of energy storage in charging stations is,therefore,further explored.Finally,the effectiveness of the proposed method is verified through case studies.

PV-storage charging stationcoordinated optimizationlocational marginal priceuncertainty

刘一欣、张帅、郭力、李相俊、贾学翠、王腾鑫、赵宗政

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智能电网教育部重点实验室(天津大学),天津市 南开区 300072

新能源与储能运行控制国家重点实验室(中国电力科学研究院有限公司),北京市海淀区 100192

国网山西省电力公司电力科学研究院,山西省太原市 030025

光储充电站 协调优化 节点边际电价 不确定性

国家电网有限公司科技项目

5400-202155462A-0-0-00

2024

电网技术
国家电网公司

电网技术

CSTPCD北大核心
影响因子:2.821
ISSN:1000-3673
年,卷(期):2024.48(8)