A Study Of Distributing Solution For Hydro-Thermal Optimal Power Flow Problems

Hydro-thermal optimal power flow (HTOPF) is one of large scale dynamic nonlinear optimize problem, the amount of computation is far greater than the classical optimal power flow (OPF).With the system scale is enlarge and model is demand more accurate continuously, the problem is hard to be solved by traditional centralize computing, the calculation periods of operating cycle is shorter and shorter, corresponding dramatic increase in the amount of computation, Especially when considered in the model of cascade hydropower plants, the actual operation characteristics, the entire operation must be considered a unified cycle, will be very large amount of computation, the problem is hard to be solved by traditional centralize computing. The research on high-powered parallel HTOPF algorithm and its distributed implementation become a question for discussion.This paper used accurate decompose method in Primal-Dual Interior Point Method (PDIPM) under perturbed Karush-Kuhn-Tucker (KKT) conditions, decoupled The large-scale reduced correction equation, then get a distributed computing methods for HTOPF by decoupled with periods. According to the distributed algorithm, the paper proposes distributed computing program based on a PC-cluster with Matlab distributed computing engine (MDCE). PC-cluster has a high performance and price ratio. And MDCE is powerful in numerical computing. By simulation in Matlab distributing environment with PC-cluster, large-scale HTOPF problem is solved successfully. Through the five test system in five different operating cycle to run the simulation results, the results verify that the proposed distributed algorithm possesses a good convergence property in a distributed environment, the real model reflects the actual power system in various The power plant output, and the cascade hydropower plant operation, many CPU times is saved, and hence, the method is quite promising for large-scale applications. Some problems are handled effectively, such as communication flux, load balance, and the good accelerate rate and efficiency is obtained.