南方电网技术2025，Vol.19Issue(10)：76-85,10.DOI:10.13648/j.cnki.issn1674-0629.2025.10.008
面向碳排放的"源-储"容量配置协同优化模型
Collaborative Optimization Model for Carbon Emission Oriented"Source-Storage"Capacity Allocation
摘要
Abstract
A two-stage robust optimization model for the planning capacity of the new power system"source-storage"of new power system is established,taking into account the uncertainty of power output and load demand.Using even theory and Karush Kuhn Tucker conditions(KKT),the robust optimization problem with min-max-min structure is decomposed into two stages:the main problem and sub problems for solution.The main problem is the minimization optimization problem structure,which adopts a relaxed form and considers the carbon emission requirements of new power system and the constraints of wind and solar power curtailment.The optimal values of the installed capacity of various power sources are determined,and the upper bound of the optimal solution of the original problem is obtained.The sub-problem is a maximum-minimum optimization problem structure containing nonlinear variables.It is modeled using dual theory and KKT conditions,and the Big-M method is used to handle nonlinear constraints.A box type uncertain set is used to describe the uncertain scenarios of wind and solar power output.Based on the optimization results of the first stage,various worst-case scenarios are determined.The simulation results of three scenarios in the example validate the feasibil-ity and adaptability of the proposed model and method.关键词
新型电力系统/协同规划容量/市场交易型"源-储"/两阶段鲁棒优化Key words
new power system/collaborative planning capacity/market trading oriented"source-storage"/two-stage robust optimization分类
信息技术与安全科学引用本文复制引用
马楠,刘国伟,吴杰康,王益军,辛立胜,彭其坚..面向碳排放的"源-储"容量配置协同优化模型[J].南方电网技术,2025,19(10):76-85,10.基金项目
广东省基础与应用基础研究基金区域联合基金项目(粤港澳研究团队项目-2020B1515130001) （粤港澳研究团队项目-2020B1515130001）
中国南方电网有限责任公司科技项目(090000KK52222158). Supported by the Guangdong Basic and Applied Basic Research Foundation(Guangdong Hong Kong Macao Research Team Project-2020B1515130001) （090000KK52222158）
the Science and Technology Project of China Southern Power Grid Co.,Ltd.(090000KK52222158). （090000KK52222158）
