Multi-Objective Optimal DG Placement Approach Using Analytical Hierarchy Process

Abstract

Distributed generation (DG) has been increasingly integrated into distribution systems in the last decade. The selection of the optimal location and capacity of these DGs is an important issue. This selection is based on minimizing losses, reducing emissions, reducing voltage deviation, and much more. This paper proposes a new optimization approach with a multi-objective function for maximizing DG capacities and minimizing both system losses and voltage deviation, which are subject to system constraints. The weight of each attribute of the multi-objective function is estimated using the analytical hierarchical process (AHP). The optimal DG size is calculated for all possible buses, and hence, the optimal bus can be located. Moreover, an algorithm is introduced to decrease the number of iterations when integrating more than one DG. The proposed method is an iterative linear programming method based on the familiar Newton-Raphson sensitivity matrix. The proposed approach has been tested on 69 and IEEE 33 bus systems. The simulation results are compared with previous literature results.

Keywords:

• distributed generation
• tap changer
• power factor
• capacity factor

Additional information

Notes on contributors

Abdelrahman A. Mewafy

Abdelrahman A. Mewafy received the B.Sc. (2010), M.Sc. (2018) degrees from Mansoura University, Egypt. He is director of protection and testing department at North delta Electricity Distribution Company, Egypt. His research interest is power system operation, control and protection, smart grid, distributed generation, energy conversion and renewable energy.

Sahar S. Kaddah

Sahar S. Kaddah received the B.Sc. (1988), M.Sc. (1992) degrees from Mansoura University, Egypt. She received Ph.D from Howard University, USA at 2002. She is professor at Electrical Engineering Department, Mansoura University since 2017. Her research interest is in the analysis and control of power systems, power system optimization, renewable energy applications, distributed generation, microgrid, and power quality.

Mohamed Eladawy

Mohamed Eladawy was born in Al Mahallah Al Kubra, Egypt in 1975. He received the B.Eng. (First Class Hons.) degree in electrical engineering and the M.Eng. degree in high-voltage engineering from Mansoura University, Mansoura, Egypt, in 1997 and 2003, respectively, and the Ph.D. degree from the Institut P’ UPR 3346, Electro-Fluid Dynamics Group, Centre National de la Recherche Scientifique, University of Poitiers, Poitiers, France, in 2011. He has been an Associate Professor with the Electrical Engineering Department, College of Engineering, Shaqra University, Shaqra, Saudi Arabia. He is currently a Permanent Associate Professor with the Electrical Engineering Department, Mansoura University, Mansoura, Egypt. His current research interests include oil-flow electrification in electric power apparatus, overvoltage, generation and measurement of impulse voltage, power transformers under surge conditions, finite-element method simulation of underground cables, surge arresters, optimization of distributed generators, presaturated core fault current limiters, and wireless power transfer.