System Modeling and Reliability Assessment of Microgrids: A Review

Masood Ibni Nazir, Ikhlaq Hussain, Aijaz Ahmad, Irfan Khan and Ayan Mallik
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Masood Ibni Nazir: Department of Electrical Engineering, National Institute of Technology, Srinagar 190006, India
Ikhlaq Hussain: Department of Electrical Engineering, Institute of Technology, University of Kashmir, Srinagar 190006, India
Aijaz Ahmad: Department of Electrical Engineering, National Institute of Technology, Srinagar 190006, India
Irfan Khan: Clean and Resilient Energy Systems (CARES) Laboratory, Texas A&M University, Galveston, TX 77553, USA
Ayan Mallik: Power Electronics and Control Engineering Laboratory, The Polytechnic School (TPS), Arizona State University, Tempe, AZ 85281, USA

Sustainability, 2021, vol. 14, issue 1, 1-33

Abstract: The world today is plagued with problems of increased transmission and distribution (T&D) losses leading to poor reliability due to power outages and an increase in the expenditure on electrical infrastructure. To address these concerns, technology has evolved to enable the integration of renewable energy sources (RESs) like solar, wind, diesel and biomass energy into small scale self-governing power system zones which are known as micro-grids (MGs). A de-centralised approach for modern power grid systems has led to an increased focus on distributed energy resources and demand response. MGs act as complete power system units albeit on a small scale. However, this does not prevent them from large operational sophistication allowing their independent functioning in both grid-connected and stand-alone modes. MGs provide greater reliability as compared to the entire system owing to the large amount of information secured from the bulk system. They comprise numerous sources like solar, wind, diesel along with storage devices and converters. Several modeling schemes have been devised to reduce the handling burden of large scale systems. This paper gives a detailed review of MGs and their architecture, state space representation of wind energy conversion systems & solar photovoltaic (PV) systems, operating modes and power management in a MG and its impact on a distribution network.

Keywords: state-space representation; distributed energy sources; penetration ratio; relief factor; power management; prosumer (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)

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