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Overall Journal Statistics
Published articles: 234
Acceptance rate: 84.3
Rejection rate: 15.7
Average time to review: 98 days
Average time to publish: 26 days
..
:: Volume 4, Issue 2 (3-2016) ::
تحقیقات نوین در سیستمهای قدرت هوشمند 2016, 4(2): 46-54 Back to browse issues page
Optimal Placement of Solar Power Plants in Distribution Network for Improvement of Loss and Reliability using Multi-objective particle Swarm Optimization Method
Abstract:   (1674 Views)
The use of distributed generation resources is an effective way for responding to load growth and providing a certain level of reliability. Solar power plants are of widely used distributed generation systems. Due to the particular importance of logging out a system of operating mode, which can interrupt a large number of customers served, different reliability indices are considered. Installing solar power plants in a distribution network affects voltage at different points. Therefore, placement and amount of power injected by solar cells into busbars should be determined so that to have maximum impact on the distribution system in terms of improving voltage quality and enhancing reliability. The present study aimed to find a suitable place for a solar plant, resulting in reduced system losses and enhanced reliability indices, using multi-objective particle swarm optimization algorithm. The proposed method is implemented using the MATLAB software on the Billington system (RBTS).
The results show that solar power plants can have positive effects, such as improving reliability and improving the voltage quality on distribution networks, depending on the specifications, technology and location of the network connection
Keywords: Solar power generation system, optimal placement, particle swarm optimization algorithm, distribution system, reliability
Full-Text [PDF 515 kb]   (1220 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2018/04/30 | Accepted: 2018/06/12 | Published: 2018/06/19
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Optimal Placement of Solar Power Plants in Distribution Network for Improvement of Loss and Reliability using Multi-objective particle Swarm Optimization Method. تحقیقات نوین در سیستمهای قدرت هوشمند 2016; 4 (2) :46-54
URL: http://jeps.dezful.iau.ir/article-1-108-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 4, Issue 2 (3-2016) Back to browse issues page
تحقیقات نوین در برق Journal of Novel Researches on Electrical Power
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