基于连续蚁群优化算法的输变电设备检修决策模型  

Transmission Maintenance Decision-making Model Based on Ant Colony Optimization Algorithm for Continuous Domains

作　　者：曾鸣[1] 黄立新[1] 邱柳青[1] 李凌云[1] 

机构地区：[1]华北电力大学能源与电力经济研究咨询中心,北京102206

出　　处：《华东电力》2012年第6期1007-1011,共5页East China Electric Power

基　　金：高等学校博士学科点专项科研基金项目(200800790007);美国能源基金会项目(G-1006-12630)~~

摘　　要：随着智能电网建设工作的推进,大量包括电力电子技术、可再生能源、微网等智能化因素将不断纳入电网中,电网的不确定性因素及其可能产生的影响不断扩大,这将对输变电设备检修工作带来新的挑战。综合考虑输变电设备检修工作的经济性和可靠性,以输变电设备检修费用最小化、可用输变电容量最大化为优化目标,建立输变电设备检修优化决策模型;在此基础上,提出一种利用改进高斯函数反映人工蚂蚁搜索过程中信息素浓度变化情况的连续蚁群优化算法,并将其应用于输变电设备检修优化决策模型求解中;最后,利用IEEE 30节点标准系统验证模型和算法的有效性。With the advancement of smart grid construction, a large number of intelligent factors such as power elec- tronic technology, renewable energy, microgrid are incorporated into power system. Consequently, uncertainty and its possible impact on power system are expanded, posing new challenges for transmission maintenance. With respect to the maintenance economy and reliability, an optimal decision-making model for transmission maintenance is pro- posed, aiming at minimizing the transmission repair cost and maximizing available transmission capacity. Then, ant colony optimization algorithm for continuous domains is suggested to solve the transmission maintenance optimization decision-making model, with improved Gaussian function to reflect pheromone concentration update during the search process of artificial ant. Finally, the model and algorithm are verified using the standard IEEE 30 node system.

关 键 词：智能电网 输变电设备检修 改进高斯函数 连续蚁群优化算法 

分 类 号：TM-9[电气工程] TM72