燕山大学学报2017，Vol.41Issue(2)：142-148,7.DOI:10.3969/j.issn.1007-791X.2017.02.007
基于细菌群体趋药性算法的家用电器优化调度
Appliances scheduling based on bacterial colony chemotaxis algorithm
摘要
Abstract
In this paper,the model of the consumer's electricity cost and the degree of dissatisfaction is established considering the restrictions on the operating time and power of the appliances and the charge or discharge of the electric vehicles.The scheduling of appliances is formulated as a discrete non-convex optimization problem.The start time,the operating power of the appliances,and the charge or discharge of the electric vehicles are optimized using the bacterial colony chemotaxis (BCC) algorithm,which achieves the peak load shifting.The efficiency of the BCC algorithm is demonstrated in the simulation.关键词
智能电网/优化调度/电动汽车/细菌群体趋药性算法/用电花费/不满意度Key words
smart grid/optimal scheduling/electric vehicle/bacterial colony chemotaxis/electricity cost/dissatisfaction分类
信息技术与安全科学引用本文复制引用
马锴,胡淑兵,陈静,杨婕..基于细菌群体趋药性算法的家用电器优化调度[J].燕山大学学报,2017,41(2):142-148,7.基金项目
国家自然科学基金资助项目(61573303,61503324) （61573303,61503324）
河北省自然科学基金资助项目(F2016203438,E2017203284) （F2016203438,E2017203284）
中国博士后科学基金资助项目(2015M570233,2016M601282) （2015M570233,2016M601282）
河北省高等学校青年拔尖人才资助项目(BJ2016052) （BJ2016052）
河北省人社厅留学人员科技活动择优资助项目(C2015003052) （C2015003052）
教育部重点实验室开放基金资助项目(Scip201604) （Scip201604）
