电力系统保护与控制2024,Vol.52Issue(23):119-134,16.DOI:10.19783/j.cnki.pspc.240324
基于源荷储协调运行的电网可用输电能力优化方法
An optimal method for the available transfer capability of a power grid based on coordinated operation of source-load-storage
摘要
Abstract
Making full use of the regulating role of flexible resources can optimize the available transfer capability(ATC)of the power grid and improve the safety and economy of system operation.A two-stage stochastic dynamic ATC optimization method considering multiple regulating resources of source-load-storage is proposed.First,dynamic scenario analysis is used to model the uncertainty of new energy output,and an incentive-based demand response model and an energy storage equivalent cycle life cost model based on depth of discharge are established.Secondly,in the first stage,a two-stage stochastic optimization economic dispatch model of source-load-storage is constructed,and the optimization result is used as the base state to establish a day-ahead stochastic dynamic ATC calculation model to determine the congestion period.Then,in the second stage,a day-ahead stochastic dynamic ATC bi-level optimization model is constructed,with the objectives of maximizing the ATC during the congestion period at the upper level and minimizing the base operating cost at the lower level.The interaction between the storage and load response conditions at the upper level and the base unit output conditions at the lower level is determined,and the lower-level model is transformed using Karush-Kuhn-Tucker(KKT)conditions to achieve the analysis of the bi-level model.Finally,the case study indicates that optimizing the operational mode of source-load-storage can not only enhance the ATC but also considers the economic efficiency of system operation.关键词
可用输电能力/储能寿命模型/源荷储协调运行/两阶段优化模型Key words
ATC/energy storage life model/coordinated operation of source-load-storage/two-stage optimization model引用本文复制引用
陈艳波,王德帅,田昊欣,范海威,李劲松,罗雅迪..基于源荷储协调运行的电网可用输电能力优化方法[J].电力系统保护与控制,2024,52(23):119-134,16.基金项目
This work is supported by the Science and Technology Project of State Grid Corporation of China(No.5100-202155577A-0-5-SF). 国家电网有限公司科技项目资助(5100-202155577A-0-5-SF) (No.5100-202155577A-0-5-SF)