چكيده به لاتين
The coronavirus was identified in Wuhan, China in late December 2019, and finally recognized as a global pandemic on March 11, 2020. In addition to human health, the virus also affected the service delivery of energy systems and how they function. The purpose of this study is to improve and enhance the performance of energy systems by controlling the known effective parameters and optimizing or minimizing the dependence of energy systems on these parameters in critical situations. In the first phase of this study, the effective parameters on water, electricity and gas energy systems during corona were first identified and investigated. Then, using the formulation of energy distribution service rate and statistical data, the initial value for this rate was obtained in both before and after corona. Then, using sensitivity analysis of each of the variable parameters, the behavior of energy distribution service rates in different intervals was investigated. Finally, using the results of sensitivity analysis, the extent and intensity of the impact of each parameter on the rate of distribution services of energy systems in both before and after the corona, was determined. In the second phase, in order to improve the quality and performance of services, the rates of electricity distribution services in the state of integration with renewable energy sources such as solar, wind and CHP (combined heat and power) energy were examined according to the steps mentioned in the first phase. According to the results, the highest parameter affecting the distribution service rate in all energy networks was related to the percentage of load growth and depreciation coefficient and the lowest parameter affecting the distribution service rate in electricity, water and gas networks were related to blackout time and repair time, respectively. This indicates that by minimizing the dependencies on the parameters of load growth percentage and depreciation coefficient, the performance and quality of service can be maintained at a desirable level.
