scholarly journals MINIMIZATION OF THE DIFFERENTIAL MODE PULSE INTERFERENCE IN THE SPACECRAFT POWER SUPPLY BUS BY VARYING ITS LENGTH USING GENETIC ALGORITHM

2020 ◽  
Vol 8 (4) ◽  
pp. 012-018
Author(s):  
Rustam R. Gazizov ◽  
◽  
Ruslan R. Gazizov ◽  
Timur T. Gazizov ◽  
◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Power Supply ◽  
Differential Mode ◽  
Pulse Interference

В работе показана актуальность выявления и локализации экстремумов сигнала вдоль проводников многопроводных линий передачи МПЛП. Выполнена оптимизация длины силовой шины электропитания (СШЭП) космического аппарата по критерию минимизации наибольшего напряжения в СШЭП. Использовано дифференциальное воздействие трапециевидного импульса. Выполнено сравнение двух подходов к оптимизации длины СШЭП с помощью генетического алгоритма (ГА), отличающиеся разным набором особей и поколений. Показано, что при одинаковом количестве итераций ГА, выбор значений особей и поколений влияет незначительно. С помощью ГА удалось уменьшить максимальное значение напряжения в 270 раз.

scholarly journals Economic Load Dispatch using Lambda Iteration, Particle Swarm Optimization & Genetic Algorithm

2021 ◽  
Vol 9 (8) ◽  
pp. 972-977
Author(s):  
Zaineb Nisar Jan
Keyword(s):  
Genetic Algorithm ◽  
Power Supply ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Economic Load Dispatch ◽  
Swarm Optimization ◽  
Load Demand ◽  
Reduced Costs ◽  
Reliable Power Supply ◽  
Fuel Costs

Abstract: In economic load dispatch problem scheduling of loads is done in order to achieve reliable power supply with reduced costs. With the increase in load demand with each passing year energy crisis is increasing hence an area of study where fuel costs can be reduced was proposed. This can be achieved using various methods among which the methods discussed in this paper are Lambda Iteration, Particle Swarm Operation and Genetic Algorithm. Based on numerical results the best optimization technique can be figured out among the discussed methods. Keywords: Lambda Iteration, PSO, GA, economic load dispatch, optimization solutions

scholarly journals Optimal multi-objective distributed generation location and capacity by elite strategy genetic algorithm considering timing characteristics

2020 ◽  
Vol 185 ◽  
pp. 01018
Author(s):  
Xinquan Wei ◽  
Xiangjun Duan ◽  
Lei Chen ◽  
Weiyan Zheng
Keyword(s):  
Genetic Algorithm ◽  
Distributed Generation ◽  
Power Supply ◽  
Retention Mechanism ◽  
Improved Genetic Algorithm ◽  
Distributed Power ◽  
Elite Strategy ◽  
Voltage Quality ◽  
Voltage Deviation ◽  
Node Voltage

In this paper, a distributed generation location and capacity optimization model considering the probability of scenario occurrence is established. The optimization objective is to minimize the total cost of investment, annual power loss of distribution network and node voltage deviation. The improved genetic algorithm with elitist retention mechanism is used to solve the model. The IEEE33 system is used to show the location and constant capacity of the distributed power supply under different conditions. It shows that the reasonable and optimized configuration of the distributed power supply can obtain better voltage quality and minimize the cost function, which verifies the effectiveness of the proposed model.

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