Design and simulation of a hybrid micro-grid for Bisheh village

samira salahi, farid adabi, Seyed Babak Mozafari

Abstract


In this paper, a gird-connected hybrid energy system for Bisheh village of environs the Khorramabad will be designed optimally with regard to the potential of wind and solar energy in this area. With annual average solar radiation of 5.521kWh/m2/day and annual average wind speed of 4.2 m/s, this village has a great potential of utilization of the renewable sources. Simulation has been done by HOMER ENERGY which is developed by the U.S. National Renewable Energy Laboratory. In order to achieve the most optimal design for power generation, the simulation of the mentioned micro-grid will be made for 6 different scenarios. With comparing the results of these simulations, it is indicate that the best scenario is designing the hybrid micro-grid connected to the main grid. Also sensitivity analysis will be perform based on various parameters such as interest rate, the price of purchasing power from the main grid, fuel price, wind speed, solar radiation, and air temperature and acquired results will compare together. By analyzing the results, we found that, the use of renewable resources is more economical than diesel generators when the fuel price is close to the world prices or interest rate is high. In addition, production of power will be more economical than purchasing power from the main grid by using diesel generators with renewable resources when price of purchasing power from the main grid is similar to the world prices, so under these conditions, micro-grid doesn’t have tend to purchasing power from the main grid.


Keywords


Distributed generation resources; Micro-grid; Optimal planning; Sensitivity analysis

Full Text:

PDF


DOI (PDF): https://doi.org/10.20508/ijrer.v6i1.3328.g6775

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE between 2020-2022; 

h=30,

Average citation per item=5.73

Impact Factor=(1638+1731+1808)/(189+170+221)=9.24

Category Quartile:Q4