分布式能源2026，Vol.11Issue(3)：91-98,8.DOI:10.16513/j.2096-2185.DE.25100344
基于自适应灰狼优化算法的新型电力系统输配资源调度
A Novel Power System Transmission and Distribution Resource Scheduling Based on Adaptive Grey Wolf Optimization Algorithm
摘要
Abstract
To address the economic,security,and computational efficiency challenges in transmission-distribution coordinated dispatch with high renewable energy penetration,a multi-period optimization model and an adaptive improved grey wolf optimization(AIGWO)are proposed.First,a three-dimensional objective function framework is established by comprehensively considering economic cost,environmental penalty,and security risk,with complete modeling of unit ramping constraints,energy storage charging-discharging time-coupled constraints,and network security boundary conditions.On this basis,three innovative mechanisms are designed:(1)a nonlinear adaptive convergence factor to dynamically balance global exploration capability,(2)knowledge-guided population initialization to improve solution quality,and(3)hybrid binary-real encoding to cooperatively optimize continuous and discrete variables,thereby overcoming the low convergence efficiency and poor discrete decision space processing of conventional algorithms.Experiments are performed on a modified IEEE 33-bus system for verification.Results show that compared with the standard grey wolf optimization,particle swarm optimization,mixed integer linear programming,and deep Q-network,AIGWO reduces the total cost by 1.72%～5.03%,decreases line overload violations by 89.2%～93.5%,lowers voltage violations by 82.4%～90.3%,and shortens the computation time by 9.32%～94.22%.The proposed algorithm provides an efficient solution for coordinated transmission-distribution resource optimization in high-fluctuation source-load scenarios.关键词
可再生能源/灰狼优化算法/混合编码机制/多时段优化/安全约束经济调度Key words
renewable energy/grey wolf optimization algorithm/hybrid coding mechanism/multi-period optimization/security-constrained economic dispatch分类
能源科技引用本文复制引用
孙桥枫,方进虎,孔德骏,张宏庆,杨一鸣,胡慧怡..基于自适应灰狼优化算法的新型电力系统输配资源调度[J].分布式能源,2026,11(3):91-98,8.基金项目
This work is supported by Science and Technology Project of State Grid Anhui Electric Power Co.,Ltd.(No.B312A0230008). 国网安徽省电力公司科技项目(B312A0230008) （No.B312A0230008）
