基于改进粒子群算法的机组经济运行的博弈  

A Game of Unit Economy Operation Based on an Improved Particle Swarm Optimization Algorithm

作　　者：仲晓春[1] 彭春华[1] 陈佳琰[1] 

机构地区：[1]华东交通大学电气与电子工程学院,江西南昌330013

出　　处：《华东交通大学学报》2008年第3期90-94,共5页Journal of East China Jiaotong University

摘　　要：在电力市场下如果能够根据实时电价求出在该电价下机组经济运行状况,可以给发电公司权衡报价风险和企业利润提供极大的帮助.如果发电公司仅依据发电成本报价,在参与竞价上网时会因缺乏灵活性而造成机组被迫频繁停机和利润空间的浪费.为此,根据企业利润最大化原则建立机组经济运行数学模型,并用改进粒子群算法对模型优化求解.通过实例分析与传统方案的预测结果进行比较,说明其效果的优劣.其给发电公司决策提供更为灵活,有效的方法.In electricity market,if the state of unit economy operation is known,it can provide infinite help for generating corporation in balancing the risk of quoted price and profit. If the price bidding is only based on the generation cost, the unit will be compelled to shutdown frequently and the benefit space will be lost because of lacking of flexibility in price competing. In this paper, based on the principle of maximum profit, a mathematical model of unit which is unit economy operation is presented. An improved Particle Swarm Optimization algorithm is used in the model, which is proved to be excellent. It provides generating corperations with a more flexible and effective method when compared with analyzing and predicting results of traditional project.

关 键 词：电力市场 粒子群算法 利润最大化 机组 

分 类 号：TN73[电子电信—电路与系统] F123.9[经济管理—世界经济]