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	Demand Side Energy Management with PSO and Regulated Electric Vehicles Behaviours
	Yimin Zhou; Guoqing Xu
	2014
会议名称	Asia-pacific Power & Energy Engineering Conference
会议地点	香港
英文摘要	A real-time optimal appliance usage strategy based on binary particle swarm algorithm is presented in the paper with the participation of both energy suppliers and end- users. Under the multi end-users and time-of-use electricity prices incentive circumstances, the total electricity bills of end- users can be generated with different appliance usage patterns: random or optimized modes, resulting in different load curves. Moreover, the function of electric vehicles to the grid (V2G) is investigated and analyzed considering its characteristics as both energy consumption load and energy resource. Matlab simulation tool is used to perform the experiments to prove that the load shifting, energy saving and energy supply efficiency enhancement can be achieved with particle swarm optimization.
收录类别	其他
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/5570]
专题	深圳先进技术研究院_集成所
作者单位	2014
推荐引用方式 GB/T 7714	Yimin Zhou,Guoqing Xu. Demand Side Energy Management with PSO and Regulated Electric Vehicles Behaviours[C]. 见:Asia-pacific Power & Energy Engineering Conference. 香港.

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