Short-term Scheduling of Restructured Distribution Networks with Demand Response using Symbiotic Organism Search (SOS) Algorithm

  • Mehdi Tabasi Department of Electrical Engineering, Sowmesara Branch, Islamic Azad University, Sowmesara, Iran
  • Pouyan Asgharian Department of Electrical Engineering, Faculty of Engineering, University of Zanjan, Zanjan, Iran
Keywords: distributed network, symbiotic organism search algorithm, short-term scheduling, demand response, distributed generation.


Recently, power system restructuring, demand response (DR) program and using of distributed generation (DG) are important issues to enhance reliability, power flow continuity and power quality for costumers. In this paper, scheduling of distributed networks with DR program for a 24-hours optimization problem is modelled. The DR program is based on load side participation and in order to solve this optimization problem, a new algorithm called Symbiotic Organism Search (SOS) has been used. Objective functions are system losses and operation costs reduction. After exact definition of the problem, objective functions and constraints, proposed method for short-term scheduling is simulated on a 33-bus standard network with MATLAB software for different scenarios. Simulation results show that adoption of demand response programs with proposed method have desirable performance to reduce losses and costs.


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How to Cite
Tabasi, M., & Asgharian, P. (2018). Short-term Scheduling of Restructured Distribution Networks with Demand Response using Symbiotic Organism Search (SOS) Algorithm. Majlesi Journal of Electrical Engineering, 12(1), 23-30. Retrieved from