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In this paper, Improved Moth Flame Optimization (IMFO) algorithm is implemented to restore power flow solvability by transferring of adequate amount of load shedding (LS) through the power system. Shunt Flexible Alternating Current Transmission System (FACTS) devices including Static VAR Compensator (SVC) and Static Synchronous Compensator (STATCOM) are incorporated with the system for obtaining better reactive power support. Maximum power system loadability is obtained using Continuation Power Flow (CPF). Both of normal operation and contingency conditions for generator and bus outages are considered for the fruition of the validity of the suggested method to operate under various conditions. The proposed approach is validated using IEEE-30 bus standard test system. The obtained results manifest the capability of the suggested method to reduce the LS values leading to continuous service to the customers and the capability of preventing voltage collapse and restore the bus voltages to the permissible limits. The emulation results reveal the effectiveness of the suggested method for enhancement of the power system loadability. [ABSTRACT FROM AUTHOR]

The power systems become operate closer to loadability limits; hence, the power systems static voltage stability assessment becomes an essential task in planning and operating for electric power systems to prevent voltage instability. In this paper, the improved moth flame optimization (IMFO) technique is applied for optimal location and size of (TCSC) with the aim of reducing load shedding, preventing voltage collapse, and enhancing the power system loadability. IMFO is developed to avoid the stagnating in local optima and improve the convergence characteristics of the conventional moth flame optimization. The loadability of the system is obtained using continuation power flow (CPF). The proposed approach is formulated by merging CPF with IMFO incorporated with TCSC. Multi-objective function is solved for minimization of loadability, load shedding, voltage stability index, and severity index. A contingency analysis is implemented on power system as two scenarios: The first scenario is outage of generator and the second scenario is outage line. Placement of TCSC has been determined by power flow analysis. The developed approach is tested on standard IEEE-30 bus system in normal operation, and contingency cases of generator and bus outage. The IMFO is compared to recent and well-known optimization techniques. The results reveal the efficiency of the proposed algorithm to reduce load shedding, continuous energy service to the customers and prevent occurrence of voltage collapse. [ABSTRACT FROM AUTHOR]