| Title |
On the convergence Rate Improvement of Mathematical Decomposition Technique on distributed Optimal Power Flow |
| Authors |
허돈(Hur, Don) ; 박종근(Park, Jong-Keun) ; 김발호(Kim, Balho-H.) |
| Keywords |
Optimal Power Flow (OPF) ; Auxiliary Problem Principle (APP) ; Convergence Rate ; Distributed OPF |
| Abstract |
We present an approach to parallelizing optimal power flow that is suitable for distributed implementation and is applicable to very large interconnected power systems. This approach can be used by utilities to optimize economy interchange without disclosing details of their operating costs to competitors. Recently, it is becoming necessary to incorporate contingency constraints into the formulation, and more rapid updates of telemetered data and faster solution time are becoming important to better track changes in the system. This concern led to a research to develop an efficient algorithm for a distributed optimal power flow based on the Auxiliary Problem Principle and to study the convergence rate improvement of the distributed algorithm. The objective of this paper is to find a set of control parameters with which the Auxiliary Problem Principle (Algorithm - APP) can be best implemented in solving optimal power flow problems. We employed several IEEE Reliability Test Systems, and Korea Power System to demonstrate the alternative parameter sets. |