首页|考虑需求响应的交直流混合配电网分布式光伏承载能力鲁棒评估方法

考虑需求响应的交直流混合配电网分布式光伏承载能力鲁棒评估方法

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鲁棒优化通常采用多面体模型来描述分布式光伏出力的不确定性,却忽略了分布式光伏出力的时空相关性,为此,该文建立了分布式光伏的时空相关性多面体模型,提出了考虑需求侧响应的交直流混合配电网分布式光伏承载能力鲁棒评估方法.首先,建立分布式光伏出力不确定性的时空相关性多面体模型和电价激励型需求侧响应模型,以最大化分布式光伏并网容量为目标,考虑交直流混合配电网中多种运行约束和调节策略,建立交直流混合配电网分布式光伏承载能力两阶段鲁棒评估模型,并采用列与约束生成算法进行迭代求解.在70节点系统上验证了算法的有效性,仿真结果表明:不同的管理策略有助于提升交直流混合配电网的分布式光伏承载能力.
Distributed PV Hosting Capacity Robust Assessment of AC/DC Hybrid Distribution Network Considering Demand Response
Robust optimization usually uses a polyhedron model to describe the uncertainty of distributed photovoltaic(PV)output,but ignores the spatial-temporal correlation of distributed PV output.Therefore,this paper established a spa-tial-temporal correlation polyhedron model of distributed PV,and proposed a robust assessment method of distributed PV hosting capacity of AC/DC hybrid distribution network considering demand response.First of all,the spatial-temporal correlation polyhedron model of the uncertainty of distributed photovoltaic output and the demand response model of electricity price incentive are established.With the goal of maximizing the grid-connected capacity of distributed PV ca-pacity,various operation constraints and regulation strategies in the AC/DC hybrid distribution network are taken into account,a two-stage robust assessment model for the distributed PV hosting capacity of the AC/DC hybrid distribution network is established,and the column and constraint generation algorithm is used for iterative solution.The effectiveness of the algorithm is verified on a 70-bus system,and the simulation results indicate that different management strategies can help improve the distributed photovoltaic carrying capacity of AC/DC hybrid distribution networks.

hosting capacityAC/DC hybrid distribution networkdemand responsemixed integer second-order cone programmingrobust optimization

杨志淳、杨帆、闵怀东、胡伟、雷杨、刘瑜

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国网湖北省电力有限公司电力科学研究院,武汉 430077

湖北方源东力电力科学研究有限公司,武汉 430077

承载能力 交直流混合配电网 需求侧响应 混合整数二阶锥规划 两阶段鲁棒优化

国网湖北省电力有限公司科技项目

52153222001F

2024

高电压技术
中国电力科学研究院 中国电机工程学会

高电压技术

CSTPCD北大核心
影响因子:2.32
ISSN:1003-6520
年,卷(期):2024.50(1)
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