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صفحه اصلی
/
سی و دومین کنفرانس بین المللی مهندسی برق
Location of Distributed Generation in the Distribution Network concerning of Capacity Credit with the TLBO Optimization Algorithm
نویسندگان :
Mohammadali Arash
1
Mohammad Khakroei
2
1- MAPNA Electric & Control Engineering & Manufacturing company (MECO)
2- Mapna Electric & Control Engineering & Manufacturing
کلمات کلیدی :
Dispersed generation sources،capacity credit،load planning،generation planning،teaching learning based optimization algorithm
چکیده :
Electrical energy distribution networks have had many developments in recent years. The advances in distributed generation (D.G) technology are also increasing in the presence of sensitive loads that require high reliability in this network. This article has attempted to capacity credit (C.C) as a new issue in Electrical energy distribution by using D.G sources. The D.G studied in this article was considered wind sources. The problem of planning D.G in the distribution network was modeled as a non-linear optimization. The objective function includes increasing the reliability, reducing loss, and improving the capacity credit of wind-dispersed generation sources. The problem model also considers the technical and the network's economic constraints and D.G's economic constraints. In the planning process, the uncertainties of the network load and the generation power of wind sources were modeled by combining two methods, Monte Carlo and k-means. The cut-set was also used to evaluate the reliability of the network. For the efficiency of the proposed response, the IEEE 33-bus distribution network was studied under two scenarios using the teaching learning-based optimization algorithm. The article's results showed that D.G can create capacity credit up to 33% of the network load.
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