PROJECT TITLE :
Optimal Topology Control With Physical Power Flow Constraints and N-1 Contingency Criterion
During this paper, a unique solution method is proposed for the optimal topology control problem in AC framework with N-1 reliability. The resultant new topology of the proposed method is certain to yield a better objective operate price than the worldwide answer of the problem with the first topology. In order to prove our statement, semi-definite programming relaxation is formulated to seek out a lower sure to the target function value of the problem. The proposed technique is favorable for parallelization to increase the computational efficiency, and also the parallel computing flowchart is presented. Computational time of the algorithm for IEEE check cases is reported. An in-house power market simulator is developed to simulate a market atmosphere complete with optimal topology control mechanism. Simulations held by taking part human subjects are analyzed beneath the subtitles of the entire operating price, real power losses, and locational marginal price (LMP) variance. A simple example is illustrated to indicate that the resultant network topology could increase the real power losses whereas still providing a lower operating system cost than that of the first topology.
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