A Study Of Distributing Solution Of Hydro-thermal Optimal Power Flow Problems Based On PC Grid

Grid computing is valuable tool for large-scale computing, multitude data storage and information transaction. Grid can make use of computer resource which is locating on differ areas effectively, breaking the traditional computing method. PC (Personal computer) Grid can use efficient resource manage tool of local areas and provide grid resource interface. It has characters of high radio of performance/price and realization easily.Hydro-thermal optimal power flow (HTOPF) is one of large scale dynamic optimize problem. With the system scale is enlarge and model is demand more accurate continuously, the problem is hard to be solved by traditional centralize computing. This paper is deduces two decoupling method according to time. One is Approximate Newton directions method, coefficient matrix of modify equation is replaced by approximate matrix, the arithmetic has local converge property under specifically conditions. The other is accurate decompose method, it putting forward the formula of coupling constraint's Lagrange multiply change by modify equation directly, and avoiding computing of reverse matrix directly. In the solution of sub-problem, modern interior point method is adopted. The numerical simulation results from multitude systems verified that the proposed algorithm is a large granularity method, possesses good convergence property, not only improving the computing speed of large-scale problem, but also decoupling the HTOPF problem effectively.Based on the proposed two decoupling algorithms, the paper is proposes distributed computing program base on PC grid with MPI and Condor-MW. By simulation in distributing environment with four PC, large-scale HTOPF problems is solved successful, some problems is handled effectively, such as communication flux, load balance, and the good accelerate rate and efficiency is obtained. This method is quite promising for large-scale applications.