考虑FACTS设备和可再生能源的多目标优化调度  

Multi-objective Optimal Scheduling Considering FACTS Devices and Renewable Energy

作　　者：田年杰 苏祥瑞 李腾木 赵倩 程兰芬 张嘉宸 TIAN Nianjie;SU Xiangrui;LI Tengmu;ZHAO Qian;CHENG Lanfen;ZHANG Jiachen(Power Dispatching and Control Center,Guizhou Power Grid Co.,Ltd,Guiyang 550005,China;Electric Power Research Institute,China Southern Power Grid,Guangzhou 510663,China;School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China)

机构地区：[1]贵州电网有限责任公司电力调度控制中心,贵阳550005 [2]南方电网科学研究院,广州510663 [3]天津大学电气自动化与信息工程学院,天津300072

出　　处：《电力系统及其自动化学报》2025年第1期139-150,共12页Proceedings of the CSU-EPSA

基　　金：贵州电网有限责任公司科技项目(GZKJXM20222359)。

摘　　要：随着高比例可再生能源接入电网,增加了电网调度和运行的难度。针对这一问题,本文提出一种基于自适应罚函数的多目标竞争粒子群算法,用于解决包含随机性可再生能源和多种柔性交流输电系统设备的多目标优化问题。首先,构建完整的交流潮流模型与多样化连续/离散控制变量约束,以降低燃料成本、电压偏差、输电损耗和排放量为优化目标;然后,探讨不同柔性交流输电系统设备配置下这些目标的平衡;最后,通过修改的IEEE 30节点系统分析结果得出,综合考虑可再生能源和柔性交流输电系统设备的优化配置,可以显著降低排放和燃料成本,提高电网的可靠性和输电效率。与现有方法相比,所提出的算法在多目标优化问题上表现出更高的解质量和稳定性。With the penetration of high proportion of renewable energy into power grid,the difficulty in the scheduling and operation of power grid rises.In this paper,a multi-objective competitive particle swarm optimization algorithm based on an adaptive penalty function is proposed to address the multi-objective optimization problems involving sto-chastic renewable energy and various flexible AC transmission system(FACTS)devices.First,a complete AC power flow model is constructed under various continuous/discrete control variable constraints,with optimization objectives of reducing the fuel costs,voltage deviation,transmission losses and emissions.Then,the trade-off among these objec-tives is explored under different configurations of FACTS devices.The analysis results of an IEEE 30-bus system indi-cate that with the comprehensive consideration of optimal configuration of renewable energy and FACTS devices,the emissions and fuel costs can be significantly reduced,and the grid reliability and transmission efficiency can also be im-proved.Compared with the existing methods,the proposed algorithm demonstrates higher solution quality and stability in solving multi-objective optimization problems.

关 键 词：交流最优潮流 可再生能源 多目标优化 约束处理技术 柔性交流输电系统设备 

分 类 号：TM715[电气工程—电力系统及自动化]