Abstract
Flexible AC transmission systems (FACTS) devices can effectively optimize the distribution of power flow. Power flow entropy can be applied as a measure of load distribution. In this paper, a method is proposed to optimize the distribution of power flow with the coordination of multi-type FACTS devices and establishes the corresponding mathematical models. The modified group searcher optimization (GSO) algorithm is proposed, in which the angle search is combined with chaotic search model to avoid jumping into local optimization. Compared with the different optimal allocation of multi-FACTS devices, the optimal allocation of multi-FACTS devices is achieved under the economic constraints. The locations obtained by this method can achieve the purpose of balancing power flow and enhancing the system performances. The simulations are demonstrated in an IEEE 118-bus power system with two classical types of FACTS, namely static var compensator (SVC) and thyristor controlled series Compensator (TCSC). The simulation results show that the proposed method is feasible and effective.
Highlights
Flexible AC transmission systems (FACTS) devices can make power system more controllable and safe [1]
In order to eliminate or alleviate the line overloads, reference [10] presented the method based on the contingency severity index (CSI) described by a real power flow performance index (PI) to determine placement of multi-FACTS devices, and the optimized parameters of FACTS devices could be obtained using genetic algorithm (GA)
The objective functions of maximum system load ability of power system and minimum investment cost were achieved by using GA and particle swarm optimization (PSO), which solved the optimal location and parameter settings of multiple thyristor controlled series Compensator (TCSC) problem [14]
Summary
Flexible AC transmission systems (FACTS) devices can make power system more controllable and safe [1]. Reference [6] studied on minimum singular value index and sensitivity of FACTS controllers to select the optimized location to improve the power transmission capacity. The objective functions of minimization of real power loss in transmission lines and voltage deviation at load buses were proposed to identify parameters and locations of FACTS [7, 8]. To minimize the real power losses and improve voltage profile, a novel bacterial swarming algorithm (BSA) was proposed to select the optimal locations and control parameters of multi-type FACTS devices [12]. Through the modified GSO algorithm, the optimal locations and control parameters of multi-type FACTS devices are selected and yield efficiency in equalization of distribution of power flow. The proposed method is applied in an IEEE 118-bus power system
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