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Multi-Objective Interval Type 2 Fuzzy Sine Cosine Algorithm for Solving Optimal Power Flow Problem


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DOI: https://doi.org/10.15866/iree.v16i2.18188

Abstract


Optimal power flow is required in power operation in order to obtain the minimum operating cost with maximum generation power output and to guarantee reliable, secure, and stable electricity transmission to the customers. An advanced approach is required to solve the optimal power flow problem because optimal power flow is categorized as a high non-linear constrained optimization. This paper proposes a simple and efficient sine cosine algorithm, which incorporates the thyristor-controlled series compensation devices as a series compensator installed on transmission lines, in order to solve the optimal power flow problem. However, the sine cosine algorithm has a drawback where it is easily trapped to local minima. Hence, the amalgamation of a sine-cosine algorithm and interval type-2 fuzzy logic controller, called interval type 2 fuzzy sine cosine algorithm, is introduced to tackle this problem. Interval type-2 fuzzy logic controller is employed to adjust the parameter r1 of the sine cosine algorithm that defines the next position or movement domain where could be within or out the solution space. The objective function of the proposed method is to minimize the total cost of power generation units and the total active power loss of the transmission line. The IEEE-26 bus model is employed to examine the efficacy of the proposed method. The proposed technique is compared to other optimization methods such as the fuzzy sine cosine algorithm and the conventional sine cosine algorithm in order to illustrate the effectiveness and the potential of the proposed algorithm.
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Keywords


Optimal Power Flow; Sine Cosine Algorithm; Thyristor-Controlled Series Compensation; Fuzzy Sine Cosine Algorithm; Interval Type-2 Fuzzy Sine Cosine Algorithm

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References


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