Optimal utilization of electrical energy from power plants based on final energy consumption using gravitational search algorithm
Purpose. Energy consumption is a standard measure to evaluate the progress and quality of life in a country. When used properly and logically it could be cause of progress in science, technology and welfare of the people in any country and otherwise irreparable economic losses and economic gross r...
Збережено в:
| Дата: | 2018 |
|---|---|
| Автори: | , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Інститут технічних проблем магнетизму НАН України
2018
|
| Назва видання: | Електротехніка і електромеханіка |
| Теми: | |
| Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/147949 |
| Теги: |
Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | Optimal utilization of electrical energy from power plants based on final energy consumption using gravitational search algorithm / Z. Montazeri, T. Niknam // Електротехніка і електромеханіка. — 2018. — № 4. — С. 70-73. — Бібліогр.: 17 назв. — англ. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Резюме: | Purpose. Energy consumption is a standard measure to evaluate the progress and quality of life in a country. When used properly
and logically it could be cause of progress in science, technology and welfare of the people in any country and otherwise
irreparable economic losses and economic gross recession would happen. And finally, the quantity of energy consumption per
GDP will increase day by day. Electrical energy, as the most prominent type of energy, is very important. In this article based on a
different approach, according to the final consumption of electric energy, a proper economic planning in order to supply
electrical energy is submitted. In this programming, the details of final energy consumption, will replace with the information of
power network, by considering the network efficiency and power plants. Operation of power plants is based on the energy
optimization entranced to a plant. By using the proposed method and gravitational search algorithm, the total cost of electrical
energy can be minimized. The results of simulation and numerical studies show better convergence of gravitational search
algorithm in comparison with other existing methods in this area. |
|---|