南方电网技术2025，Vol.19Issue(3)：106-115,10.DOI:10.13648/j.cnki.issn1674-0629.2025.03.010
考虑阶梯型碳交易的梯级水火风光储联合调度
Joint Scheduling of Cascade Hydro-Thermal-Wind-Photovoltaic-Storage Considering Stepped Carbon Trading
摘要
Abstract
Aiming at the"Dual-Carbon"emission reduction target and the peak shaving problem of power system brought by the large-scale grid connection of new energy sources,a cascade hydro-thermal-wind-photovoltaic-storage multi-energy joint optimal schedul-ing model considering the stepped carbon trading is proposed.Firstly,hierarchical optimal scheduling is adopted,and the minimum load fluctuation is taken as the objective function in the upper model,using a modified sand cat swarm optimization(MSCSO)algorithm that considers Circle mapping strategy,triangular migration strategy,Levy flight migration strategy and elite reverse learn-ing strategy to optimize the output of cascade hydropower.Thus,the equivalent load curve after smoothing is obtained.In the lower model,the minimum comprehensive cost is taken as the objective function to solve its piecewise linearization.Finally,a multi-scenario simulation is carried out in the modified IEEE 30 nodes,and the results show that the proposed model can effectively reduce carbon emissions,give full play to the deep peak shaving capacity of thermal power units,effectively improve the new energy consumption capacity and the low-carbon and economic operation of the system,which verifies the validity of the model.关键词
阶梯型碳交易/改进沙丘猫群算法/梯级水火风光储/深度调峰/分层优化调度Key words
stepped carbon trading/MSCSO/cascade hydro-thermal-wind-photovoltaic-storage/deep peaking/hierarchical optimized scheduling分类
动力与电气工程引用本文复制引用
田珺玲,荣娜,张裕,张建英,刘兴艳..考虑阶梯型碳交易的梯级水火风光储联合调度[J].南方电网技术,2025,19(3):106-115,10.基金项目
贵州省科技支撑计划项目([2023]290,[2023]329) （[2023]290,[2023]329）
贵州省科学技术基金资助项目(黔科合基础-ZK[2021]一般277) （黔科合基础-ZK[2021]一般277）
贵州省优秀青年科技人才项目(黔科合平台人才[2021]5645).Supported by the Science and Technology Support Program of Guizhou Province([2023]290,[2023]329) （黔科合平台人才[2021]5645）
the Science and Technology Foundation of Guizhou Province(Guizhou Science and Technology Foundation-ZK[2021]General 277) （Guizhou Science and Technology Foundation-ZK[2021]General 277）
the Guizhou Province Outstanding Young Scientific and Technological Talents Project(Guizhou Science Cooperation Platform Talents[2021]5645). （Guizhou Science Cooperation Platform Talents[2021]5645）
