Solving the Power System State Estimation Problem Embedded with UPFC Using Glowworm Swarm Optimization Algorithm
نویسنده
چکیده
In this paper, the state estimation (SE) problem is formulated as a general nonlinear programming problem with equality constraints and boundary limits on the state variables. The objective of this paper is to incorporate the Unified Power Flow Controller (UPFC) into the SE algorithm. UPFC has the potential to independently control the voltage, active and reactive power flows in the system. In this paper, the Glowworm Swarm Optimization (GSO) is used to store the proposed SE problem. The proposed SE algorithm embedded with UPFC has been examined on IEEE 14 bus test system.
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