A New Load-shedding Approach for Microgrids in the Presence of Wind Turbines

Abstract

Following the penetration of microgrids in distribution systems, frequency deviations in contingency conditions are becoming increasingly important. Therefore, effective load shedding is necessary to regulate the frequency. This article develops a new load-shedding method for microgrids considering wind speed changes. The proposed method uses a combination of frequency and voltage data for determining load-shedding amounts in each contingency condition. For this purpose, the total required load shedding is determined first by using transient stability analysis in different contingency scenarios in microgrids. This will establish a database for an adaptive neuro-fuzzy inference system network to determine the total required load shedding. Then a fuzzy system is used to determine the load shedding in each step dynamically based on the severity of contingencies. The proposed method capability is compared with the conventional load-shedding method. Simulation results show the effectiveness of the proposed method for microgrid control in contingency conditions.

Keywords:

• microgrid
• wind turbine
• load shedding
• adaptive neuro-fuzzy inference system
• fuzzy system

Additional information

Notes on contributors

Habib Amooshahi

Habib Amooshahi received his B.Sc. in power engineering from University of Birjand, Iran, in 2009 and his M.Sc. in power systems from University of Isfahan, Iran, in 2011. His research interests include power systems and the application of artificial intelligence.

Rahmat-Allah Hooshmand

Rahmat-Allah Hooshmand was born in Isfahan, Iran. He received his B.Sc. from University of Mashhad in 1989; his M.Sc. from University of Tehran, Iran, in 1990; and his Ph.D. from Tarbiat Modarres University, Iran, in 1995, all in electrical engineering. He is currently a professor in the Electrical Engineering Department, University of Isfahan, Isfahan, Iran. His main areas of research interest are modeling of power systems and distribution networks.

Amin Khodabakhshian

Amin Khodabakhshian was born in Isfahan, Iran. He received his B.Sc. and M.Sc. in electrical engineering from University of Tehran, Tehran, Iran, in 1986 and 1988, respectively, and his Ph.D. in 1995 from University of Wollongong, Australia. He is currently an associate professor in the Electrical Engineering Department, University of Isfahan, Isfahan, Iran. His research interests are in the area of power system dynamic stability, control applications in power systems, and dispersed generations.

Majid Moazzami

Majid Moazzami was born in Golpayegan, Iran. He received his B.Sc. and M.Sc. in electrical engineering from Islamic Azad University of Najafabad (IAUN), Iran, in 2004 and 2007, respectively, and his Ph.D. from the Electrical Engineering Department, University of Isfahan, Iran, in 2013. Now he is an assistant professor and head of the power group in the Electrical Engineering Department of IAUN. His main areas of research interests are power system dynamics, restructured power systems and electricity markets, renewable energy, and microgrids.