A novel approach for distributed generation expansion planning considering its added value compared with centralized generation expansion

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F21%3A43962111" target="_blank" >RIV/49777513:23220/21:43962111 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S2352467720303489?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352467720303489?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.segan.2020.100417" target="_blank" >10.1016/j.segan.2020.100417</a>

Result language

angličtina

Original language name

A novel approach for distributed generation expansion planning considering its added value compared with centralized generation expansion

Original language description

Technological progress of distributed generation (DG) units, global approach to reduce the pollution emissions, and creating the opportunity for local investors to participate in the generation expansion investment, are some of the important reasons to involve the DG as an alternative option in the GEP. In this regard, expansion of the DG units compared to the expansion of centralized generation units should be evaluated economically and technically. Therefore, this paper proposes a novel approach for modeling the composite centralized and distributed generation expansion planning problem in the regulated power system. An integrated objective function is presented to involve the most important decision-making factors overall the power system. The purpose is to find the optimal combination of generation expansion created by power plants and DG units to minimize the total costs related to generation expansion, operation, maintenance, fuel, emission, distribution loss and expected energy not supplied, for the decision-making period. The proposed model reveals as a mixed integer nonlinear programming where, genetic algorithm is applied to find the optimal solution which contains the capacity, technology and operation strategy of non-stochastic DG units that will be optimally allocated into some distribution feeders. Results confirm the effectiveness and superiority of the proposed approach.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Sustainable Energy, Grids and Networks

ISSN

2352-4677

e-ISSN

—

Volume of the periodical

25

Issue of the periodical within the volume

March 2021

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

18

Pages from-to

1-18

UT code for WoS article

000612336900009

EID of the result in the Scopus database

2-s2.0-85097339915