中国电机工程学报2024，Vol.44Issue(22)：8860-8873,中插14,15.DOI:10.13334/j.0258-8013.pcsee.231246
基于多阶段双重博弈的多园区随机场景低碳分布式调度优化
Low-carbon Distributed Scheduling Optimization for Multi-park Stochastic Situations Based on a Multi-stage Dual Game
摘要
Abstract
To achieve the integrated energy system's low-carbon development,it is essential to coordinate the conflict of interest distribution under various park scenarios on the basis of protecting information privacy.This paper analyzes the principles of carbon emission trading and green certificate trading to build a two-tier trading framework of green card-carbon emission linkage theory.With the aim of setting the electricity selling and purchasing price and directing the park in setting the unit production plan,the Stackelberg theory is employed to create a leader-follower relationship.For the purpose of realizing the bargaining and cooperative game among multi-parks and equitable distribution among multi-parks,the Nash theory is combined on this basis.Then,using the stochastic scenario method and conditional value at risk theory,a multi-stage dual game approach for multi-park stochastic scenario low-carbon distributed dispatch optimization is proposed.And the alternating direction multiplier method is combined with the differential evolution method to decouple various park systems and safeguard the privacy of each participant.Finally,the proposed scheduling method can improve the overall advantages of multi-park and lower carbon emissions while optimizing the competing interests of parks under new energy multi-scenarios through the case analysis.关键词
多园区综合能源系统/双重博弈/低碳经济调度/随机场景/分布式优化Key words
multi-park integrated energy system/dual game/low-carbon economic dispatch/stochastic scenarios/distributed optimization分类
信息技术与安全科学引用本文复制引用
岳子宜,刘华志,李永刚..基于多阶段双重博弈的多园区随机场景低碳分布式调度优化[J].中国电机工程学报,2024,44(22):8860-8873,中插14,15.基金项目
国家自然科学基金项目(52107092). Project Supported by National Natural Science Foundation of China(52107092). （52107092）
