Published December 2018 | Version v1
Journal article

Optimal design of the electric connection of a wind farm

  • 1. Laboratoire de Génie Electrique, Faculté de Technologie, Université de Bejaia, Bejaia, 06000 (Algeria)

Description

Highlights: • This work introduce a technique of connecting the internal grid of a wind farm. • The advantage is that, the search space of solutions is considerably reduced. • The proposed approach is usefulness during the planning phase of a wind farm. The network of a wind farm is composed of an internal medium voltage grid which represents several wind turbines and substations, and a high voltage transmission system. The capital cost of the internal grid constitutes a significant part of the total cost of the farm. Thus designing the optimal architecture of a wind farm is a key element in the profitability of a project. In this context, this paper presents a novel solution algorithm for connecting the internal grid of a wind farm. This algorithm is based on a combination between genetic algorithm and a specific algorithm. Genetic algorithm is used to optimize both the position of the electrical substation and the number of its cable feeders, whereas the specific algorithm considers the shortest distance to connect the wind turbines between them and the electrical substation. The proposed approach is tested on a real model of wind farm; the obtained results proved that the proposed algorithm is usefulness during the planning phase of a radial or meshed electrical network in a wind farm.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2018.10.015

Additional details

Identifiers

DOI
10.1016/j.energy.2018.10.015;
PII
S0360544218319960;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
165
Journal Page Range
p. 972-983
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53000842
Subject category
S17: WIND ENERGY;
Descriptors DEI
CABLES; CAPITALIZED COST; ELECTRIC POTENTIAL; GENETIC ALGORITHMS; OPTIMIZATION; PLANNING; POWER TRANSMISSION LINES; WIND TURBINE ARRAYS; WIND TURBINES
Descriptors DEC
ALGORITHMS; COST; EQUIPMENT; MACHINERY; MATHEMATICAL LOGIC; TURBINES; TURBOMACHINERY

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.