Load flow analysis for power management of Microgrid

Chaphekar, S. N.; Ambekar, Ghanshyam S.; Dharme, Anjali A.

doi:10.1109/indicon.2015.7443819

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…14-bus islanded microgrid parameters details are given [3]. Line and bus data are shown in Tables 2 and 3.…”

Section: Nomenclature Abbreviationsmentioning

confidence: 99%

“…Te signifcant grid parity of renewable energy systems with the increase in intermittent generation and aggregation of loads and generating units at low and medium voltage levels leads to the development of microgrids that can operate in self-control mode in a decentralized grid environment [1,2]. A microgrid is a group of diferent power sources that work together as a single system that can be controlled to provide reliable power to a local area [3]. Being the promising paradigm of power systems, the microgrid integrates the controllable loads with distributed generation viz., solar and wind, along with the battery energy storage system (BESS) for the maintenance of power supply [4].…”

Section: Introductionmentioning

confidence: 99%

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Probabilistic Load Flow of an Islanded Microgrid with WTGS and PV Uncertainties Containing Electric Vehicle Charging Loads

Gupta

Prusty

2022

International Transactions on Electrical Energy Systems

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With the emphasis of utilities on decentralized power systems due to the considerable growth of renewable energy resources (RES), microgrids (MGs) as controllable small grids are need of an hour. For an objective analysis of microgrids with large grid parity of renewable energy sources, probabilistic methods are required along with the already established deterministic methods. A Gauss quadrature-based probabilistic load flow (GQPLF) method for microgrid has been proposed along with intermittent generation and uncertain loads, including electric vehicles (EVs). The distributed generation consists of wind turbine generation systems (WTGS) and photovoltaic systems (PVs) connected to 14 bus microgrid systems with six droop-controlled distributed generators. Extensive simulations have been carried out on a 14-bus microgrid with distributed generation and uncertain loads, and results are compared with the benchmark Monte Carlo simulation (MCS) method, which validates the efficacy of the proposed method. The time taken by the proposed GQPLF for the 14-bus microgrid system simulation is 60.9 seconds, which is significantly less compared to the benchmark Monte Carlo simulation method, in which time taken for a 14-bus microgrid system with 10,000 simulations is 9318.7 seconds. Comparing the proposed GQPLF method with the benchmark method validates its efficacy and efficiency.

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“…14-bus islanded microgrid parameters details are given [3]. Line and bus data are shown in Tables 2 and 3.…”

Section: Nomenclature Abbreviationsmentioning

confidence: 99%