A Tabu Search based Algorithm for Solving the Distributed Optimal Power FlowProblem with Discrete Control Variables

• Main Authors: GAO,SHANG-RUEI, 高尚睿
• Other Authors: LIN,CI-SIN
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/02323340757101081524

碩士 === 高苑科技大學 === 電子工程研究所 === 104 === In this paper, we propose a Tabu search based algorithm to solve the distributed optimal power flow (DOPF) problem with discrete control variables under deregulated environment. The proposed algorithm is implemented by two steps: first using a distributed algorithm for solving continuous distributed optimal power flow in a deregulated environment with power sales constraints, and then implementing the Tabu search method in a distributed power system to select a good enough discrete control variable solution. We have tested the proposed Tabu search based DOPF algorithm on the IEEE 244-bus system, which is arbitrarily partitioned into four subsystems, using a 4-PC network. Numerical results show that the proposed algorithm is very efficiency and can really search a good enough solution. Keywords: Distributed optimal power flow, discrete control variables, Tabu search method, power deregulation.