Optimal power flow using archimedes optimizer algorithm

Abstract

<span>This article proposes a new metaheuristic algorithm called Archimedes optimization algorithm (AOA) for solving optimization problems of optimal power flow (OPF) utilizing the renewable energy sources (RES) for minimizing different single-objective and multi-objective functions based on minimization of fuel cost, power losses of transmission lines, emission and voltage profile improvement. Also, mathematical formulation of (OPF) is introduced by converting the function with multiple objectives based on price and weighting parameters into a single objective function. Also, the effect of optimal RES is merged into the OPF problem. Notably, optimal RES placement yields even more effective solution. AOA was inspired by an intriguing physical law known as Archimedes' Principle. To prove the effectiveness of the AOA proposed algorithm, it compared with different recent algorithms for solving the optimal power flow problems and testing them to one standard system of the IEEE30-bus test system. The superiority of the proposed AOA algorithm is proven also by applying them on the IEEE30-bus modified system with optimal allocation of renewable energy source (RES). The results demonstrate that the proposed algorithm is more successful and efficient than the other optimization methods in the title of resolving OPF problems.</span>

Swarm flip-crossover algorithm: a new swarm-based metaheuristic enriched with a crossover strategy

“…The discrete uniform random in (4) means that the seed may be generated between the corresponding swarm member and the best swam member and can surpass the best swarm member. The second process is updating the corresponding member based on the quality of its seed, as stated in (5). This second process is also performed in the second and third walks.…”

“…Seagull optimization (SO) has been utilized to search the global maximum power point in the photovoltaic system [4]. The Archimedes optimizer algorithm (AOA) was used in the optimal power flow system by minimizing the emission, power loss, and fuel cost while maximizing the voltage profile [5].…”