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Energies 2017, 10(10), 1449; https://doi.org/10.3390/en10101449

A Scatter Search Heuristic for the Optimal Location, Sizing and Contract Pricing of Distributed Generation in Electric Distribution Systems

1
Celsia S.A. E.S.P., Carrera 43A No. 1sur-143, Medellín 050022, Colombia
2
Supply Chains Management and Innovation Research Group (INCAS), Department of Industrial Engineering, Universidad de Antioquia, 67th Street, No. 53-108, Medellín 050110, Colombia
3
Research Group in Efficient Energy Management (GIMEL), Department of Electrical Engineering, Universidad de Antioquia, 67th Street, No. 53-108, Medellín 050110, Colombia
*
Author to whom correspondence should be addressed.
Received: 20 July 2017 / Revised: 16 August 2017 / Accepted: 21 August 2017 / Published: 21 September 2017
(This article belongs to the Special Issue Distributed and Renewable Power Generation)
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Abstract

In this paper we present a scatter search (SS) heuristic for the optimal location, sizing and contract pricing of distributed generation (DG) in electric distribution systems. The proposed optimization approach considers the interaction of two agents: (i) the potential investor and owner of the DG, and (ii) the Distribution Company (DisCo) in charge of the operation of the network. The DG owner seeks to maximize his profits from selling energy to the DisCo, while the DisCo aims at minimizing the cost of serving the network demand, while meeting network constraints. To serve the expected demand the DisCo is able to purchase energy, through long-term bilateral contracts, from the wholesale electricity market and from the DG units within the network. The interaction of both agents leads to a bilevel programming problem that we solve through a SS heuristic. Computational experiments show that SS outperforms a genetic algorithm hybridized with local search both in terms of solution quality and computational time. View Full-Text
Keywords: bilevel programming; distributed generation (DG); scatter search (SS); evolutionary algorithms bilevel programming; distributed generation (DG); scatter search (SS); evolutionary algorithms
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Pérez Posada, A.F.; Villegas, J.G.; López-Lezama, J.M. A Scatter Search Heuristic for the Optimal Location, Sizing and Contract Pricing of Distributed Generation in Electric Distribution Systems. Energies 2017, 10, 1449.

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