电力系统保护与控制2025，Vol.53Issue(18)：1-11,11.DOI:10.19783/j.cnki.pspc.241538
考虑平稳输送的跨断面异质能源互补优化调度研究
Study on optimal scheduling of cross-section heterogeneous energy complementary optimization considering stable transmission
摘要
Abstract
In the context of new power systems,the increasing complexity of transmission grid structures poses new challenges for bundled delivery of clean energy sources across network sections.To address this issue,a heterogeneous energy complementary dispatching method is proposed that accounts for the smooth delivery across the transmission sections of the system.First,a mid-to long-term multi-objective optimal dispatch model is constructed with the objectives of maximizing power generation,minimizing transmission fluctuations across sections,and minimizing power curtailment.The model is solved by the NSGA-Ⅱ algorithm.Then,to overcome the weak adjustment ability of the traditional NSGA-Ⅱ algorithm in handling operational constraint violations when solving scheduling models dominated by cascade hydropower stations,a differentiated exploration matrix is introduced to optimize the mutation process,thereby enhancing the algorithm's adaptive adjustment capability at constraint boundaries.Finally,taking the Yalong River clean energy base as an example,the applicability of the constructed three-objective model in describing the cross-section transmission problem of heterogeneous energy systems is verified by comparing the computational results across different typical years.Furthermore,the stronger adaptive ability of the improved NSGA-Ⅱ algorithm is demonstrated by comparing the error rate and percentage of Pareto solution metrics before and after the improvement.关键词
异质能源互补系统/跨断面输电/水风光一体化/多目标优化/改进NSGA-Ⅱ算法Key words
heterogeneous energy complementary system/cross-section transmission/hydro-wind-solar integration/multi-objective optimization/improved NSGA-Ⅱ algorithm引用本文复制引用
易绍雯,闫孟婷,朱燕梅,黄炜斌,马光文,王靖..考虑平稳输送的跨断面异质能源互补优化调度研究[J].电力系统保护与控制,2025,53(18):1-11,11.基金项目
This work is supported by the National Key Research and Development Program of China(No.2018YFB0905204). 国家重点研发计划项目资助(2018YFB0905204) （No.2018YFB0905204）
