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Proportional and Integral (PI) controllers are often used to control the operation of the Distribution Static Compensator (DSTATCOM) for the distribution power system. However, since the power system is highly nonlinear and subject to various disturbances, the PI controlled DSTATCOM cannot provide optimal performance for different operating points. More robust controllers such as the ones based on...
University Class Scheduling Problem (UCSP) is very hard constraint satisfaction problem (CSP). To solve UCSP, we introduce a novel Ant Colony Optimization (ACO) with Genetic Algorithm Operators (GAO) (ACOGAO) method. ACO is well known for combinatorial optimization and finds optimal sequence of solution points. On the other hand, GA is a population based adaptive heuristic method that starts with...
A recent nature inspired optimization algorithm, Fish School Search (FSS) is applied to the finite element model (FEM) updating problem. This method is tested on a GARTEUR SM-AG19 aeroplane structure. The results of this algorithm are compared with two other metaheuristic algorithms, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). It is observed that on average, the FSS and PSO algorithms...
Two different parallelization strategies for evolutionary algorithms for mixed integer nonlinear programming (MINLP) are discussed and numerically compared in this contribution. The first strategy is to parallelize some internal parts of the evolutionary algorithm. The second strategy is to parallelize the MINLP function calls outside and independently of the evolutionary algorithm. The first strategy...
In this paper, we introduce a hybrid approach of particle swarm optimization (PSO) for solving n-queens problem. Since the solution of n-queens problem is to create a set of non-conflict queens, we propose a swarm refinement technique to reduce conflicts in main swam and then locate final solutions by swapping permutations. The swarm refinement PSO (SR-PSO) performs much faster and more accurate than...
Optimal placement of distributed generation (DG) units and proper allocation of parking lots, providing vehicle-to-grid (V2G) power, in order to reduce loss in distribution networks is studied in this paper. The objective function containing active and reactive power indices is minimized using genetic algorithm. Power flow is done utilizing backward-forward sweep method. Finally, simulation is carried...
Visible/near infrared spectroscopy (Vis/NIRS) appears to be a rapid and convenient nondestructive technique that can realize the qualitative analysis and quantitative analysis for many agriculture products. In this study, a novel non-destructive pattern recognition method for honey source was developed base on Visible/Near infrared Spectroscopy. The four types of honey, linden, Chinese milk vetch,...
This paper presents a contingency analysis study of Embedded Generation (EG) deployment in distribution network. It is expected of increasing amounts of EG that will be connected to power system distribution in the near future. Due to advances of technology and deregulation in the power market, EG is expected to become more cost effective energy sources that open the opportunity of exploiting renewable...
The study aims at seeking the interrelationship and origin of the basic electricity, mobile electricity, power adjustment charges, additional super-charges, and line subsidy payments of the high-pressure two-stage electricity users (Far East University), according to the average of monthly temperature and tariff structure calendar year. Using fuzzy theory to analyze and simulate the peak electricity...
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