SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM
Purpose. In recent years, the problem of allocation of distributed generation and capacitors banks has received special attention from many utilities and researchers. The present paper deals with single and simultaneous placement of dispersed generation and capacitors banks in radial distribution ne...
Збережено в:
| Дата: | 2020 |
|---|---|
| Автори: | , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine”
2020
|
| Теми: | |
| Онлайн доступ: | http://eie.khpi.edu.ua/article/view/2074-272X.2020.4.08 |
| Теги: |
Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
| Назва журналу: | Electrical Engineering & Electromechanics |
Репозитарії
Electrical Engineering & Electromechanics| id |
eiekhpieduua-article-210501 |
|---|---|
| record_format |
ojs |
| spelling |
eiekhpieduua-article-2105012020-08-25T11:26:25Z SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM Djabali, Chabane Bouktir, Tarek genetic algorithm salp swarm algorithm real power losses distributed generation capacitors 621.3 генетический алгоритм алгоритм роя сальпов реальные потери мощности распределенная генерация конденсаторы 621.3 Purpose. In recent years, the problem of allocation of distributed generation and capacitors banks has received special attention from many utilities and researchers. The present paper deals with single and simultaneous placement of dispersed generation and capacitors banks in radial distribution network with different load levels: light, medium and peak using genetic-salp swarm algorithm. The developed genetic-salp swarm algorithm (GA-SSA) hybrid optimization takes the system input variables of radial distribution network to find the optimal solutions to maximize the benefits of their installation with minimum cost to minimize the active and reactive power losses and improve the voltage profile. The validation of the proposed hybrid genetic-salp swarm algorithm was carried out on IEEE 34-bus test systems and real Algerian distributed network of Djanet (far south of Algeria) with 112-bus. The numerical results endorse the ability of the proposed algorithm to achieve a better results with higher accuracy compared to the result obtained by salp swarm algorithm, genetic algorithm, particle swarm optimization and the hybrid particle swarm optimization algorithms. Цель. В последние годы задача размещения распределенной генерации и батарей конденсаторов привлекает особое внимание многих организаций и исследователей. В данной работе рассмотрены отдельное и совместное размещение распределенной генерации и батарей конденсаторов в радиальной распределительной сети при различных уровнях нагрузки: слабом, среднем и пиковом с использованием алгоритма генетического роя сальпов (genetic-salp swarm algorithm). Разработанный алгоритм гибридной оптимизации генетического роя сальпов (GA-SSA) использует системные входные переменные радиальной распределительной сети для поиска оптимальных решений с целью максимизации преимуществ их установки с минимальными затратами для минимизации потерь активной и реактивной мощности и улучшения профиля напряжения. Тестирование предложенного алгоритма гибридной оптимизации генетического роя сальпов было проведено на экспериментальных 34-шинных системах IEEE и реальной 112-шиной алжирской распределенной сети Джанета (крайний юг Алжира). Численные результаты подтверждают способность предложенного алгоритма достигать лучших результатов с большей точностью по сравнению с результатом, полученным методом роя сальпов, генетическим алгоритмом, оптимизацией роя частиц и алгоритмами гибридной оптимизации роя частиц. National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine” 2020-08-24 Article Article application/pdf http://eie.khpi.edu.ua/article/view/2074-272X.2020.4.08 10.20998/2074-272X.2020.4.08 Electrical Engineering & Electromechanics; No. 4 (2020); 59-66 Электротехника и Электромеханика; № 4 (2020); 59-66 Електротехніка і Електромеханіка; № 4 (2020); 59-66 2309-3404 2074-272X en http://eie.khpi.edu.ua/article/view/2074-272X.2020.4.08/210585 Copyright (c) 2020 Chabane Djabali, Tarek Bouktir https://creativecommons.org/licenses/by-nc/4.0 |
| institution |
Electrical Engineering & Electromechanics |
| collection |
OJS |
| language |
English |
| topic |
genetic algorithm salp swarm algorithm real power losses distributed generation capacitors 621.3 генетический алгоритм алгоритм роя сальпов реальные потери мощности распределенная генерация конденсаторы 621.3 |
| spellingShingle |
genetic algorithm salp swarm algorithm real power losses distributed generation capacitors 621.3 генетический алгоритм алгоритм роя сальпов реальные потери мощности распределенная генерация конденсаторы 621.3 Djabali, Chabane Bouktir, Tarek SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM |
| topic_facet |
genetic algorithm salp swarm algorithm real power losses distributed generation capacitors 621.3 генетический алгоритм алгоритм роя сальпов реальные потери мощности распределенная генерация конденсаторы 621.3 |
| format |
Article |
| author |
Djabali, Chabane Bouktir, Tarek |
| author_facet |
Djabali, Chabane Bouktir, Tarek |
| author_sort |
Djabali, Chabane |
| title |
SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM |
| title_short |
SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM |
| title_full |
SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM |
| title_fullStr |
SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM |
| title_full_unstemmed |
SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM |
| title_sort |
simultaneous allocation of multiple distributed generation and capacitors in radial network using genetic-salp swarm algorithm |
| title_alt |
SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM |
| description |
Purpose. In recent years, the problem of allocation of distributed generation and capacitors banks has received special attention from many utilities and researchers. The present paper deals with single and simultaneous placement of dispersed generation and capacitors banks in radial distribution network with different load levels: light, medium and peak using genetic-salp swarm algorithm. The developed genetic-salp swarm algorithm (GA-SSA) hybrid optimization takes the system input variables of radial distribution network to find the optimal solutions to maximize the benefits of their installation with minimum cost to minimize the active and reactive power losses and improve the voltage profile. The validation of the proposed hybrid genetic-salp swarm algorithm was carried out on IEEE 34-bus test systems and real Algerian distributed network of Djanet (far south of Algeria) with 112-bus. The numerical results endorse the ability of the proposed algorithm to achieve a better results with higher accuracy compared to the result obtained by salp swarm algorithm, genetic algorithm, particle swarm optimization and the hybrid particle swarm optimization algorithms. |
| publisher |
National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine” |
| publishDate |
2020 |
| url |
http://eie.khpi.edu.ua/article/view/2074-272X.2020.4.08 |
| work_keys_str_mv |
AT djabalichabane simultaneousallocationofmultipledistributedgenerationandcapacitorsinradialnetworkusinggeneticsalpswarmalgorithm AT bouktirtarek simultaneousallocationofmultipledistributedgenerationandcapacitorsinradialnetworkusinggeneticsalpswarmalgorithm |
| first_indexed |
2024-06-01T14:39:38Z |
| last_indexed |
2024-06-01T14:39:38Z |
| _version_ |
1800670049895186432 |