迭代竞价模型在电力中长期合约市场中的应用  

Iterative Competitive Bidding Model Based on Genetic Algorithm and Its Application to Long-Term Contract Trade Power Market

作　　者：陈艳[1] 程春田[1] 康春雷[1] 林剑艺[1] 

机构地区：[1]大连理工大学土木水利学院,辽宁大连116024

出　　处：《水电能源科学》2005年第6期71-74,共4页Water Resources and Power

基　　金：国家自然科学基金资助项目(50479055);高校博士点基金资助项目(20050141008)

摘　　要：针对目前电力中长期合约市场的竞价模式现状,提出了基于遗传算法的迭代竞价模型。该模型采用迭代竞价机制代替单轮投标机制,并采用遗传算法解决竞价模型中发电商报价曲线形状不确定的特点。算例表明,该模型和算法可以解决任意形状报价曲线的发电量最优化分配问题,具有较高的实用价值。基于遗传算法的迭代竞价模型为我国现阶段的电力中长期和约市场提供了一种切实可行的竞价机制。An iterative competitive bidding model based on genetic algorithm is developed according to the actuality of long-term contract trade power market.The model uses iterative competitive bidding instead of single bidding and employs genetic algorithm to solve the irregular characteristic of bidding curves proposed by Independent Power Producer(IPP).A case study demonstrates that the model can solve optimization distribution of generated energy of any bidding curves.The iterative competitive bidding mechanism based on genetic algorithm offers an effective way to study long-term contract trade power market in China.

关 键 词：电力市场 迭代竞价机制 遗传算法 报价曲线 

分 类 号：TM715[电气工程—电力系统及自动化]