Optimal Resources Planning of Residential Complex Energy System in a Day-ahead Market Based on Invasive Weed Optimization Algorithm


  • P. Ahmadi Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
  • M. H. Nazari Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran
  • S. H. Hosseinian Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran
Volume: 7 | Issue: 5 | Pages: 1934-1939 | October 2017 | https://doi.org/10.48084/etasr.1324


This paper deals with optimal resources planning in a residential complex energy system, including FC (fuel cell), PV (Photovoltaic) panels and the battery. A day-ahead energy management system (EMS) based on invasive weed optimization (IWO) algorithm is defined for managing different resources to determine an optimal operation schedule for the energy resources at each time interval to minimize the operation cost of a smart residential complex energy system. Moreover, in this paper the impacts of the sell to grid and purchase from grid are also considered. All practical constraints of the each energy resources and utility policies are taken into account. Moreover, sensitivity analysis are conducted on electricity prices and sell to grid factor (SGF), in order to improve understanding the impact of key parameters on residential CHP systems economy. It is shown that proposed system can meet all electrical and thermal demands with economic point of view. Also enhancement of electricity price leads to substantial growth in utilization of proposed CHP system.


combined heat and power system (CHP), electricity tariff, energy management system, smart home


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How to Cite

P. Ahmadi, M. H. Nazari, and S. H. Hosseinian, “Optimal Resources Planning of Residential Complex Energy System in a Day-ahead Market Based on Invasive Weed Optimization Algorithm”, Eng. Technol. Appl. Sci. Res., vol. 7, no. 5, pp. 1934–1939, Oct. 2017.


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