Abstract
In this paper, an improved coyote optimization algorithm (ICOA) is developed for determining control parameters of transmission power networks to deal with an optimal reactive power dispatch (ORPD) problem. The performance of ICOA method is superior to its conventional coyote optimization algorithm (COA) thanks to modifications of two new solution generations of COA. COA uses a center solution to generate an update step size in the first solution generation and produced one new solution by using random factors to diversify the search space in the second solution generation. By tackling the drawbacks of COA, ICOA can reduce control parameters and computation steps, shorten execution time, and provide better results. ICOA is compared to its conventional COA for three standard IEEE systems of 30-, 57-, and 118-buses with continuous and discrete control variables. Moreover, three other algorithms such as water cycle algorithm (WCA), salp swarm algorithm (SSA), and sunflower optimization algorithm (SFOA) have been also implemented for further investigation of the real performance of the proposed method. All the applied methods are metaheuristic algorithms based on population and randomization. The result comparison from the test systems has indicated that ICOA can provide higher solution quality than other methods with reasonable execution time. Therefore, ICOA is a reliable tool for finding optimal solutions of the ORPD problem.
Highlights
This paper has presented an improved coyote optimization algorithm (ICOA) with intent to enhance convergence speed to the global optimum solution with the lowest value of fitness function as solving different systems of reactive power dispatch problem
In terms of the optimal solution search function for a general optimization problem, the implementation of the proposed method is simpler than that of coyote optimization algorithm (COA), because the determination of center solutions in each pack is no longer essential in the proposed method and the offspring generation process is suggested to be changed in the proposed method
About the result comparison for the three IEEE power systems for the optimal reactive power dispatch (ORPD) problem, each of two modifications was demonstrated to be more effective than the original procedure of COA via the comparisons of COA1 (COA with the first modification) and COA2 (COA with the second modification) with the standard
Summary
ORPD plays an extremely important role and is acknowledged by the interest of engineers and managers as well as a number of researchers in power system planning and operation areas [1]. The ORPD problem has many complicated constraints and different single objectives [2]. The main target of the ORPD problem is to cut the active power loss on conductors and improve the profile of load voltage, while keeping operating parameters of electric components within allowable ranges. In the ORPD, active power generation of PPs is predetermined, while the voltage of PPs is tuned reasonably. Tap of transformers and generation of capacitors are tuned for keeping values of reactive power generation of PPs, currents of conductor, and load voltages within allowable operating ranges [3]. Finding solutions of ORPD is one of the greatest challenges for scientists, and optimization algorithms become believable mathematical tools
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