Techno-Economic and Environmental Base Approach for Optimal Energy Management of Microgrids Using Crow Search Algorithm

Subject Areas : Renewable energy

Sajad Gorji ¹ (Department of Electrical Engineering- Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Saeed Zamanian ² (Faculty and Research Center of Engineering and Passive Defense, Imam Hossein University, Tehran, Iran)
Majid Moazzami ³ (Smart Microgrid Research Center- Najafabad Branch, Islamic Azad University, Najafabad, Iran)

Received: 2020-07-19 Accepted : 2020-08-22 Published : 2020-10-22

Keywords: reliability, Crow Search Algorithm, Energy management, Microgrid optimization,

Abstract :

By incremental deployment of renewable energy sources on microgrid frameworks, new technical and economic issues have emerged in the power system industry. The optimal operation of microgrids in the presence of intermittent renewable sources has been counted as a new challenge within the last decade. Microgrids are off-grid or grid-connected power systems on a very small scale encompassing different types of distributed generation sources and local loads. Generally, in isolated microgrids, the demanded energy of consumers is maintained by hybrid models of internal energy sources. The principal purpose of hybrid systems is to supply the electrical power demanded by consumers instantaneously as well as storing surplus energy for critical conditions. In this paper, a techno-economic and environmental base approach for optimal energy management of microgrids using crow search algorithm is presented. Under study microgrid include renewable energy resources, battery and diesel generator as backup power generator. Annual cost and the released emission are considered as the objective function of the proposed method. The crow search algorithm calculates power dispatch scheduling among generation units. Simulation results of the proposed method show the appropriate configuration of the hybrid system that lead to decrease the annual cost of the system and the released emission.

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