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Recently, with the stringent environmental regulations and shortage fossil-fuel reserve, power generation based on renewable energy sources is seen as a promising solution for future generation systems. A combination of these sources with an optimized configuration can face the climate change obstacles, permit better reliability, and reduce the cost of the generated energy. This paper presents a proposed...
This paper proposes a lithium-ion battery charging technique for the charge equalization controller based on the particle swarm optimization (PSO) algorithm. A flyback DC-DC converter is utilized to perform the charge equalization and battery charging. The charging of lithium-ion battery is executed by constant current-constant voltage (CC-CV) charge PI control process. In the proposed technique,...
This paper presents a new optimization approach for tuning conventional PID controller parameters of a static var compensator (SVC) which controls a synchronous machine. SVC is designed and implemented to improve the damping of a synchronous generator. Particle Swarm Optimization (PSO) method based PID controller using SVC is implemented in this study. The study involves the optimization of proportional...
This paper presents a new stochastic optimization technique for tuning conventional PI controller parameters of a static var compensator (SVC) which controls a synchronous machine. As a type of Flexible AC Transmission Systems (FACTS) device, SVC is designed and implemented to improve the damping of a synchronous generator. Computational intelligence technique based PI controller using SVC is implemented...
This article proposes a discrete particle swarm optimization (DPSO) for solution of the shortest path problem (SPP). The proposed DPSO adopts a new solution mapping which incorporates a graph decomposition and random selection of priority value. The purpose of this mapping is to reduce the searching space of the particles, leading to a better solution. Detailed descriptions of the new solution and...
In this paper, a hybrid optimization technique is presented to solve the well-known problem of tuning power system stabilizers' (PSSs) parameters. The hybrid technique is derived from particle swarm optimization (PSO) by adding the passive congregation model. The tuning of the PSS parameters is formulated as the multi-objective function with constraints including the damping ratio and damping factor...
In any flash flood evacuation operation, vehicle assignment at the inundated areas is vital to help eliminate loss of life. Vehicles of various types and capacities are used to evacuate victims to relief centers. This paper examines combinatorial optimization approach with the objective function to assign a specified number of vehicles with maximum number of evacuees to the potential inundated areas...
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