دورية أكاديمية
Optimization and Placement of DG Resources in the Network to Reduce Line Loading
| العنوان: | Optimization and Placement of DG Resources in the Network to Reduce Line Loading |
|---|---|
| المؤلفون: | Farhad Zishan, Ehsan Akbari, Abdul Reza Sheikholeslami, Nima shafaghatian |
| المصدر: | International Journal of Industrial Electronics, Control and Optimization, Vol 6, Iss 2, Pp 89-100 (2023) |
| بيانات النشر: | University of Sistan and Baluchestan, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Electronics LCC:Industry |
| مصطلحات موضوعية: | distributed generations, uncertainty of resources, optimization, pso algorithm, Electronics, TK7800-8360, Industry, HD2321-4730.9 |
| الوصف: | This paper contributes to the design, modeling, and planning of a distributed generation (DG) network with wind and solar by means of the particle swarm algorithm (PSO) algorithm in the IEEE 33-bus network, aiming to minimize The results indicate an adequate performance in a variety of environments, and the presence of distributed wind/solar energy generators decreases network stress by feeding loads locally. These systems (wind and solar) can be used in remote areas without power networks, or even in areas where there is a tendency to use renewable energy despite the presence of a power network. They can also supply the output load for most of the day and night. Probability distribution functions are used, and the outputs are expressed as probability density distribution functions instead of absolute numbers. In addition, there is a high degree of uncertainty regarding the state of the system, which is an associated renewable energy source within the power system elements. By means of MATLAB software, the proposed method is implemented in order to ensure effectiveness and validate the results. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2645-3517 2645-3568 |
| Relation: | https://ieco.usb.ac.ir/article_7697_b34d0189dd77ee801fe7fd6d3b8041d6.pdf; https://doaj.org/toc/2645-3517; https://doaj.org/toc/2645-3568 |
| DOI: | 10.22111/ieco.2023.45491.1474 |
| URL الوصول: | https://doaj.org/article/fb8837efa4de4d80a2ce43bc2a2a10d9 |
| رقم الأكسشن: | edsdoj.fb8837efa4de4d80a2ce43bc2a2a10d9 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 26453517 26453568 |
|---|---|
| DOI: | 10.22111/ieco.2023.45491.1474 |