电力系统保护与控制2017，Vol.45Issue(17)：65-71,7.DOI:10.7667/PSPC161432
基于改进多目标遗传算法的实时发电市场优化调度研究
Analysis of the optimal dispatch in real-time generation market using an improved multi-objective genetic algorithm
摘要
Abstract
Real-time generation market has to complete the bidding and clearing in short time. It is more urgent in time, more fluctuating in price and more likely to be affected by participants' behavior. In the trading process, if the market clears merely according to the total purchasing cost, it may result in a minority of participants seize most of the market share or residual capacity where the market is highly concentrated. A few units can gain abnormal return through market manipulation and market efficiency and stability will be reduced. To avoid the above situation, this paper proposes a multi-objective model for the real-time generation market considering market concentration, limits the market concentration into appropriate level through monitoring the HHI static index and the DHHI dynamic index. When solving the model, the improved multi-objective generation algorithm (MOGA) achieves the quick convergence and finite schemes choosing. At last, the IEEE standard system of 30 nodes is applied to the simulation. Simulation result confirms the model's availability and the algorithm's efficiency.关键词
优化调度/实时发电市场/市场力/多目标遗传算法Key words
optimal dispatch/real-time generation market/market power/multi-objective genetic algorithm引用本文复制引用
汤晓青,刘辉,范宇,杨胜杰..基于改进多目标遗传算法的实时发电市场优化调度研究[J].电力系统保护与控制,2017,45(17):65-71,7.基金项目
This work is supported by National Natural Science Foundation of China (No.61472136).国家自然科学基金(61472136) （No.61472136）
湖南省自然科学基金项目(2016JJ2069) （2016JJ2069）
湖南省教育厅优秀青年基金(16B143) （16B143）
