含可响应资源的综合能源多目标低碳优化调度  

Multi-objective low carbon optimization of smart distribution network considering responsive distributed energy

作　　者：付岚[1] 单智习 牟光臣 Fu Lan;Shan Zhixi;Mu Guangchen(Vocational and Technical College,Xinxiang 453000,China;KaiFeng Technician College,Kaifeng 475000,China;Henan Institute of Technology,Xinxiang 453003,China)

机构地区：[1]新乡职业技术学院,河南新乡453000 [2]开封技师学院,河南开封475000 [3]河南工学院,河南新乡453003

出　　处：《可再生能源》2022年第7期972-979,共8页Renewable Energy Resources

基　　金：河南省科技厅科技攻关项目(212102210558)。

摘　　要：分布式电源增加了配电网的灵活性,但同时也给配网调度带来一定挑战。文章针对含有可响应分布式电源的配网多目标优化调度进行研究,说明了配网综合能源系统的特点。通过建立可削减负荷、可转移负荷、电动汽车模型和电价、热能价格不确定因素的模型,实现了能源市场和电量市场的耦合关系。以成本最小、排污最小和用户满意度最高为目标建立了多目标优化模型,考虑了功率平衡约束和能源约束。最后利用决策算法求解优化模型,并在IEEE33节点系统中进行仿真,验证了所建模型和算法的有效性。This paper studies the multi-objective optimal scheduling of the distribution network with responsive distributed power generation,and illustrates the characteristics of the integrated energy system of the distribution network.The coupling relationship between the energy market and the electricity market is realized by establishing models of shaving loads,transferable loads,electric vehicle models,and uncertainty factors of electricity price and thermal energy price.A multi-objective optimization model is established with the goals of minimum cost,minimum pollution and maximum user satisfaction,considering power balance constraints and energy constraints.Finally,the model is solved by the decision-making algorithm,and the simulation is carried out in the IEEE33 node system,which shows the validity of the model and algorithm.

关 键 词：分布式电源 可响应负荷 综合能源 多目标决策 

分 类 号：TK81[动力工程及工程热物理—流体机械及工程] TK51[电气工程—电力系统及自动化] TM73