基于遗传算法的发电企业报价策略模型及应用  

Application of bidding strategy based on genetic algorithm for power generation enterprises

作　　者：赵庆波[1] 郭蓉[2] 周原冰[1] 陈芙杏[2] 曾鸣[2] 齐旭 

机构地区：[1]山东电力研究院,山东济南250000 [2]华北电力大学,北京102206 [3]中国电力工程顾问公司,北京100011

出　　处：《中国电力》2002年第9期44-46,共3页Electric Power

摘　　要：针对发电企业报价策略应用中存在的用动态规划算法存在“维数灾”的问题、用序优化法存在计算工程量大耗时久的问题、用泛函分析法存在计算精度等问题,提出一套基于遗传算法的最优报价策略模型。通过具体实例测算及现场应用,充分验证了遗传算法用于发电企业竞价的可行性。并且,该算法提供了多个方案可供选择。A novel bidding strategy method based on genetic algorithm for power generation enterprises is proposed in this paper,which directs at solving the weaknesses that came from dynamic programming algorithm,ordinal optimization,functional analysis and so on. Actual analysis and simulation of the case show that adopting the competitive model based on genetic algorithm is feasible. This method offers many alternatives for making a choice.

关 键 词：遗传算法 发电企业 报价策略 电力市场 数学模型 参数编码 

分 类 号：F426.6[经济管理—产业经济]