Presentation of an Economic-Environmental Planning Model for the Interconnected Water and Electricity Network Microgrids

Nowadays, the use of integrated water and electricity microgrids has become a suitable solution for increasing the influence of renewable energies in solving economic problems related to this field. However, an efficient model is needed to increase the energy efficiency and overcome the environmental and economic challenges associated with the integrated water and electricity microgrid planning. This paper presents a multi-objective optimization model for system scheduling. In this model, variable speed pumps in the water system as well as storage tanks and flexible sources are optimally programmed to reduce the operation costs and pollution. The proposed model is a two-objective optimization problem. In this paper, the Epsilon constraint method and the fuzzy method are used to solve the proposed two-objectives problem. The proposed model has been tested on 33 micro-buses and 15 water nodes and has been investigated for different cases. The simulation results prove the effect of water and electricity network planning integration on reducing the operation costs and pollutant emissions.