基于改进NSGA-Ⅱ算法的含地热发电电力系统多目标优化调度  

Multi-objective optimization dispatch of power systems including geothermal power generation based on improved NSGA-II algorithm

作　　者：孔祥祺 张鹏 孟珣[1] 邵萌[1] 唐涛 张新茹 孙金伟[1] KONG Xiangqi;ZHANG Peng;MENG Xun;SHAO Meng;TANG Tao;ZHANG Xinru;SUN Jinwei(College of Engineering,Ocean University of China,Qingdao 266100,China;China Renewable Energy Engineering Institute,Beijing 100120,China)

机构地区：[1]中国海洋大学工程学院,山东青岛266100 [2]水电水利规划设计总院,北京100120

出　　处：《热力发电》2025年第2期30-41,共12页Thermal Power Generation

基　　金：山东省自然科学基金项目(ZR2023ME028);国家自然科学基金项目(51609224,52071307);水电水利规划设计总院研究项目(ZY-KJXN-20230025);国家重点研究发展计划项目(2022YFC3104201)。

摘　　要：针对目前风电、光伏发电波动性大和典型区域消纳困难的问题,将出力可靠、爬坡迅速的地热发电纳入混合能源系统,提出了一种地热发电促进风光消纳的新型混合能源系统优化调度方法。综合考虑运行成本和运行风险,以机组物理特性为约束条件,建立新型混合能源系统多目标优化调度模型;提出滚动修补策略修复种群初始值,基于自适应均衡模型和非支配排序遗传算法求解模型。本算法相较于传统算法更适合解决高维度、高复杂度的约束问题,且收敛速度较快。通过西藏某区域冬季典型日2种场景计算实例对比分析发现,地热发电使风光消纳率分别上升了8.0%、7.9%,同时系统运行成本和风险指数分别下降了2.5%、7.1%。证实地热发电可促进风光消纳和提高电力系统可靠性,为混合能源系统的决策调度提供理论支撑。In response to the current problems of high volatility in wind and photovoltaic power generation and difficulties in consumption in typical areas,a new hybrid energy system optimization scheduling method for promoting wind and solar consumption through geothermal power generation is proposed by incorporating reliable and rapidly climbing geothermal power generation into the hybrid energy system.Taking into account both operational costs and risks,and constrained by physical characteristics of the power units,a multi-objective optimization dispatch model for the new hybrid energy system is established.A rolling repair strategy is introduced to correct the initial values of the population,and the model is solved based on the adaptive trade-off model and the non-dominated sorting genetic algorithm II.This algorithm is more suitable for solving high-dimensional,complex constraint problems compared with the conventional algorithms and offers a faster convergence rate.Through a comparative analysis of two scenarios during typical winter days in a specific region of Tibet,geothermal power is found to enhance the absorption rates of wind and solar energy by 8.0%and 7.9%,respectively.Simultaneously,the system’s operating costs decreases by 2.5%,and risk indices decreases by 7.1%.These findings underscore the role of geothermal power in promoting the integration of wind and solar energy and improving the overall reliability of the power system.The research provides valuable theoretical support for decision-making and scheduling in hybrid energy systems.

关 键 词：混合能源系统 地热发电 多目标优化 自适应均衡模型 非支配排序遗传算法 

分 类 号：TM73[电气工程—电力系统及自动化] TM616[自动化与计算机技术—控制理论与控制工程] TP18[自动化与计算机技术—控制科学与工程]