A sustainability-oriented multiobjective optimization model for siting and sizing distributed generation plants in distribution systems
type: Item
instance of: scholarly article
title: A sustainability-oriented multiobjective optimization model for siting and sizing distributed generation plants in distribution systems
zbMATH Open document ID: 1296.90069
DOI: 10.1155/2013/291930
author: Guang Chen
author: Pan Dai
author: Hao Zhou
author: Bin Chen
published in: Mathematical Problems in Engineering
publication date: 2014-10-13T00:00:00Z
review text: Summary: This paper proposes a sustainability-oriented multiobjective optimization model for siting and sizing DG plants in distribution systems. Life cycle exergy (LCE) is used as a unified indicator of the entire system's environmental sustainability, and it is optimized as an objective function in the model. Other two objective functions include economic cost and expected power loss. Chance constraints are used to control the operation risks caused by the uncertain power loads and renewable energies. A semilinearized simulation method is proposed and combined with the Latin hypercube sampling (LHS) method to improve the efficiency of probabilistic load flow (PLF) analysis which is repeatedly performed to verify the chance constraints. A numerical study based on the modified IEEE 33-node system is performed to verify the proposed method. Numerical results show that the proposed semilinearized simulation method reduces about 93.3\% of the calculation time of PLF analysis and guarantees satisfying accuracy. The results also indicate that benefits for environmental sustainability of using DG plants can be effectively reflected by the proposed model which helps the planner to make rational decision towards sustainable development of the distribution system.
Mathematics Subject Classification ID: 90B80
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90B30
zbMATH DE Number: 6354619
Wikidata QID: Q59025706
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/291930
OpenAlex ID: W2146499278
cites work: A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
description: scientific article; zbMATH DE number 6354619