Optimal Power Flow Control Using a Group Search Optimizer
This paper proposes a group search optimizer (GSO) for optimal power flow (OPF) control based on a flexible AC transmission system (FACTS). FACTS has been successfully applied to steady-state control of power system, which determines the optimal location of FACTS devices and their associated values in the transmission lines. To solve the optimal solution of FACTS devices, a GSO inspired by animal searching behavior is used in this paper. GSO is a population-based optimization algorithm which has been successfully applied to deal with optimization problem. The proposed method is verified using the IEEE 30-bus 41-transmission system. The results demonstrate that the proposed method improves the total transfer capability and provides better steady-state control of power systems than existing methods.
KeywordsPower flow Flexible AC transmission system Group search optimizer Optimization algorithm
Financial supports from the National Science Council, Taiwan, R.O.C. under the Grant No. NSC 101-2221-E-168-045 are acknowledged.
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