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Mitigating Energy System Vulnerability by Implementing a Microgrid with a Distributed Management Algorithm

Department of Electrical Engineering, University of Zaragoza, Calle María de Luna 3, 50018 Zaragoza, Spain
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Energies 2019, 12(4), 616; https://doi.org/10.3390/en12040616
Received: 3 December 2018 / Revised: 29 January 2019 / Accepted: 12 February 2019 / Published: 15 February 2019
(This article belongs to the Special Issue Smart Energy Management for Smart Grids 2019)

Abstract

This work presents a management strategy for microgrid (MG) operation. Photovoltaic (PV) and wind generators, as well as storage systems and conventional units, are distributed over a wide geographical area, forming a distributed energy system, which is coordinated to face any contingency of the utility company by means of its isolated operation. The management strategy divides the system into three main layers: renewable generation, storage devices, and conventional units. Interactions between devices of the same layer are determined by solving an economic dispatch problem (EDP) in a distributed manner using a consensus algorithm (CA), and interactions between layers are determined by means of a load following strategy. In this way, the complex behaviour of PV and wind generation, the battery storage system, and conventional units has been effectively combined with CA to solve EDP in a distributed manner. MG performance and its vulnerability are deeply analysed by means of an illustrative case study. From the observed results, vulnerability under extreme conditions could be reduced up to approximately 30% by coupling distributed renewable generation and storage capacity with an energy system based on conventional generation. View Full-Text
Keywords: consensus algorithm; vulnerability; dynamic voltage collapse; maximum loadability index consensus algorithm; vulnerability; dynamic voltage collapse; maximum loadability index
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Lujano-Rojas, J.M.; Yusta, J.M.; Domínguez-Navarro, J.A. Mitigating Energy System Vulnerability by Implementing a Microgrid with a Distributed Management Algorithm. Energies 2019, 12, 616.

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