会议专题

Simulation of Cost Optimal Control of the Transmission Congestion Management in Electricity Systems

This paper investigates the cost control problem of congestion management model in the real-time power systems. An improved optimal congestion cost model is built by introducing the congestion factor in dealing with the cases: opening the generator side and load side simultaneously. The global optimal solution of real-time congestion management is obtained based on the immune genetic algorithm, simulated annealing algorithm and ant colony algorithm, respectively. Through the simulation results of several algorithms to analyze and find a more simple and feasible and safe and easy to implement in order to effectively reduce and control the adjustment costs.

Electricity Systems Congestion Management Immune Genetic Algorithm Simulated Annealing Ant Colony Algorithm

Bin Liu Nan Jiang Yan Zheng Yuanwei Jing

Faculty of Information Science and Engineering,Northeastern University,110819,Shenyang,Liaoning,P.R. Panjin Electrical Power Administration,124010,Pan Jin,Liaoning,P.R.of China

国际会议

2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

四川绵阳

英文

3624-3627

2011-05-23(万方平台首次上网日期,不代表论文的发表时间)