热力发电2025，Vol.54Issue(2)：30-41,12.DOI:10.19666/j.rlfd.202406132
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
摘要
Abstract
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Key words
hybrid energy system/geothermal power generation/multi-objective optimization/adaptive trade-off model/non-dominated sorting genetic algorithm引用本文复制引用
孔祥祺,张鹏,孟珣,邵萌,唐涛,张新茹,孙金伟..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[J].热力发电,2025,54(2):30-41,12.基金项目
山东省自然科学基金项目(ZR2023ME028) （ZR2023ME028）
国家自然科学基金项目(51609224,52071307) （51609224,52071307）
水电水利规划设计总院研究项目(ZY-KJXN-20230025) （ZY-KJXN-20230025）
国家重点研究发展计划项目(2022YFC3104201) Natural Science Foundation of Shandong Province(ZR2023ME028) （2022YFC3104201）
National Natural Science Foundation of China(51609224,52071307) （51609224,52071307）
China Renewable Energy Engineering Institute Research Project(ZY-KJXN-20230025) （ZY-KJXN-20230025）
National Key Research and Development Program of China(2022YFC3104201) （2022YFC3104201）
