基于电力市场PAB竞价的最优概率随机匹配机制  

Random Matching Mechanism of Optimal Probability Based on PAB Auction in Electricity Market

作　　者：李俊[1] 刘俊勇[1] 张力[1,2] 刘利民[1] 

机构地区：[1]四川大学电气信息学院,四川成都610065 [2]西华大学电气信息学院,四川成都610039

出　　处：《四川大学学报（工程科学版）》2011年第3期150-154,224,共6页Journal of Sichuan University (Engineering Science Edition)

基　　金：国家自然科学基金资助项目(50977059)

摘　　要：针对电力市场PAB竞价中发电商可通过多次报价学习提高其市场力行为问题,提出一种基于电力市场PAB竞价的最优概率随机匹配机制,以市场成交均价最小化为目标制定了最优信息干扰下的概率分配方法,利用概率信息干扰影响发电商的学习能力,削弱其市场力。仿真证明,对比价格高低匹配机制和完全随机匹配机制,最优概率随机匹配机制下的电力市场PAB竞价机制能有效干扰发电商的学习能力,达到削弱其市场力行为的目的。To solve the problem that the generators can improve their market power in PAB auction repeatedly by auction learning,based on the PAB auction mechanism in the electricity market,the random matching mechanism of optimal probability was proposed,an optimal probability distribution method was developed to minimize the average transaction price,and the information disturbance of probability was used to affect the learning ability of generators and weaken theirs market power behavior.Simulations showed that compared with the price level matching mechanism and completely random matching mechanism,random matching mechanism of optimal probability can affect the learning ability of generators more effectively.

关 键 词：信息干扰 概率随机匹配 信号传递 按报价支付 电力市场 

分 类 号：TM732[电气工程—电力系统及自动化] F407.61[经济管理—产业经济]