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ABSTRACT
This paper proposes a stochastic multistage expansion planning method in order to solve the mid-term and long-term optimal feeder routing problem. Pseudo dynamic behaviour of the network parameters and geographical constraints besides the associated uncertainties of future load demand and market price are incorporated into the method. The proposed method is solved from the DisCo viewpoints using particle swarm optimization algorithm which finally converges to a solution with minimum costs. The proposed cost function is the sum of feeder's installation costs, power losses cost, cost of active purchased power from power market, and reliability costs. Meanwhile, the final solution must satisfy all the operation aspects of power system in acceptable levels. On the other hand, the implementation of the final strategy obtained from the proposed method of this paper, can increase the responsibility of the power system in lower costs. In this regard, distribution system can power its customers with higher power quality in acceptable reliability level and also in lower costs. The proposed method is applied on a large-scale distribution network and its practicability and also its effectiveness are analysed due to the simulation results.
DISCLOSURE STATEMENT
No potential conflict of interest was reported by the authors.
Additional information
Notes on contributors
Navid Taghizadegan
Navid Taghizadegan received his BSc degree from University of Tabriz in 1989, MSc degree from University of Tehran in 1994 and PhD from University of Tabriz in 2008 all in Electrical Engineering. His research interests are power system planning and control and electrical machines. He is the author of many international papers and national awards. He was also director of some research projects in Azarbaijan electric utilities. He joined to Azarbaijan Higher Education and Research Complex, Tabriz, Iran in 1995 and he is currently an assistant professor with the Electrical Engineering Department, Azarbaijan Shahid Madani University, Tabriz, Iran.
Sajad Najafi Ravadanegh
Sajad Najafi Ravadanegh was born in Iran, in 1976. He received the BSc degree from the University of Tabriz, Tabriz, Iran, and the MSc and PhD degrees from the Amirkabir University of Technology, Tehran, Iran, in 2001, 2003, and 2009, respectively, all in electrical engineering. He is currently an associate professor with the Electrical Engineering Department, Azarbaijan Shahid Madani University, Tabriz, where he is responsible for the Smart Distribution Grid Research Laboratory. His current research interests include smart distribution networks and microgrids optimal operation and planning, power system stability and control, power system controlled islanding, optimization algorithms applications in power systems, nonlinear dynamic, and chaos.
E-mail: [email protected]
Masoumeh Karimi
Masoumeh Karimi was born in Tabriz, Iran, in 1990. She received her BSc and MSc degrees both in electrical power engineering. She is currently working towards the PhD degree at Electrical Engineering Department of Azarbaijan Shahid Madani University. Her major research interests include: smart grids, distribution system planning and operations and power electronics.
E-mail: [email protected]
Mohammad Reza Jannati Oskuee
Mohammad Reza Jannati Oskuee was born in Tabriz, Iran, in 1988. He received his BSc degree in electrical power engineering from University of Tabriz, Tabriz, Iran and MSc degree from Azarbaijan Shahid Madani University, Tabriz, Iran, graduating with first class honnors, where he is currently working towards the PhD degree at Electrical Engineering Department. His major research interests include: smart grids, power system planning and operation, power electronics, power system dynamics and FACTs devices.
E-mail: [email protected]