Distribution networks' energy losses versus hosting capacity of wind power in the presence of demand flexibility

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Title: Distribution networks' energy losses versus hosting capacity of wind power in the presence of demand flexibility
Authors: Soroudi, Alireza
Rabiee, Abbas
Keane, Andrew
Permanent link: http://hdl.handle.net/10197/8123
Date: 2016
Abstract: With the increasing share of renewable energy sources (RES) in demand supply, the distribution network operators (DNOs) are facing with new challenges. In one hand, it is desirable to increase the ability of the network in absorbing more renewable power generation units (or increasing the hosting capacity (HC)). On the other hand,  power injection to the distribution network by renewable resources may increase the active power losses (if not properly allocated) which reduces the efficiency of the network. Thus, the DNO should make a balance between these two incommensurate objective functions. The Demand Response (DR) in context of smart grids can be used by DNO to facilitate this action. This paper provides an approach in which a multi-objective and multi-period NLP optimization model is formulated where the DR is utilized as an effective tool to increase HC and decrease the energy losses simultaneously. In order to quantify the benefits of the proposed method, it is applied on a 69-bus distribution network. The numerical results substantiate that the proposed approach gives optimal locations and capacity of RES, as well as minimum energy losses by load shifting capability provided via DR programs.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Elsevier
Journal: Renewable Energy
Volume: 102
Issue: Part B
Start page: 316
End page: 325
Copyright (published version): 2016 Elsevier
Keywords: LossWind powerDistribution networkRenewable energyDemand responseFlexibilityEnergy
DOI: 10.1016/j.renene.2016.10.051
Language: en
Status of Item: Peer reviewed
Appears in Collections:Electrical and Electronic Engineering Research Collection
Energy Institute Research Collection

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