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A Novel Approach for Determining Distributed Generations Penetration Level Using Least Square Minimization (LSM) Curve Fitting
Author(s) -
Rodel D. Dosano,
Nemia H. Mabaquiao,
Godelyn Gallega-Hisole,
Regin Cabacas,
In-Ho Ra
Publication year - 2016
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2016.p1004
Subject(s) - computer science , renewable energy , penetration (warfare) , distributed generation , minification , robustness (evolution) , portfolio , mathematical optimization , reliability engineering , operations research , electrical engineering , mathematics , engineering , programming language , biochemistry , chemistry , financial economics , economics , gene
With the publicized benefits offered by renewable energy resources, more and more households embrace the utilization of stand-alone installations ranging from small to medium scale systems. In literature, several studies provide insights on the effects of integration of renewable energy (RE) resources to the distribution systems but have inadequacy of considering the penetration levels. Moreover, RE cost reductions, increasing costs of traditional energy sources, and Renewable Portfolio Standards have created the possibility of significant increase of penetration levels of distributed RE generation being installed on distribution systems. To aid in the evaluation and assist with these expansions, new analysis tools are needed. In particular, new RE high-penetration analysis tools and procedures need to be developed and integrated with existing conventional methods. This paper presents a simulation based study on distribution system with and without integration of RE sources. It takes into account of the impending effects of these RE integrations in the distribution system. This paper emphasizes a novel method of determining the penetration level of Distributed Generation using least square minimization (LSM) method. The studies were tested using IEEE 123 bus distribution test feeder and actual data from an existing distribution system to verify the effectiveness and robustness of the proposed approach.

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