基于优先指数的配电网分布式储能序次规划

Distributed Energy Storage Sequence Planning for Distribution Network Based on Priority Index

分布式电源和灵活可调负荷大量接入配电网,使其源荷特性与供需关系日益复杂,分布式储能系统(DESS)对优化有源配电网运行特性具有重要作用。针对电网规划过程中实际网架结构不明确、DESS功能复合性强,但规划场景单一导致难以实现全局优化的问题,提出一种基于优先指数的分布式储能序次规划方法,从需求层次分析的角度表征储能配置综合需求,指导储能的优化配置和有序接入。首先,提出一种基于配电网用户需求分析的优先指数构造方法,以确定各用户接入DESS的优先级;其次,计及风光出力不确定性,提出基于序次优化的分布式储能多目标规划模型,以确定网格化配电网中DESS的接入位置和容量;最后,建立用户储能需求改善度评价体系,为储能规划的方案制定提供理论支撑。选取某实际供电网格仿真验证了所提方法与模型可促进新能源消纳,有效指导高比例新能源配电网储能布局规划。

Distributed generators and flexible adjustable loads are widely integrated into the distribution network,making their source-load characteristics and supply-demand relationships increasingly complex.Distributed energy storage systems(DESS)play an important role in optimizing the operation characteristics of active distribution networks.A distributed energy storage sequence planning method based on priority index is proposed to address the problem of unclear actual grid structure and strong DESS functional complexity in the process of power grid planning,which makes it difficult to achieve global optimization due to a single planning scenario.This method characterizes the comprehensive energy storage configuration demand from the perspective of demand hierarchy analysis,guiding the optimization configuration and orderly integration of energy storage.Firstly,a priority index construction method based on user demand analysis of distribution network is proposed to determine the priority of each user integrating into DESS.Secondly,taking into account the uncertainty of wind and photovoltaic output,a multi-objective planning model for distributed energy storage based on sequence optimization is proposed to determine the access location and capacity of DESS in the grid distribution network.Finally,an evaluation system for the improvement of user energy storage demand is established,providing theoretical support for the formulation of energy storage planning schemes.The simulation of a certain actual power supply grid is selected to verify that the proposed method and model can promote the accommodation of renewable energy resources and effectively guide the layout planning of energy storage in distribution networks with high-proportion renewable energy resources.