Multi-objective Smart Distribution Network Operation Considering Demand Response Programming

The experience of deploying Smart Grids in many countries has shown that it has many economic and environmental advantages such as reducing greenhouse emissions, increasing network stability, merging distributed generations into power systems, and many more. In this paper, a novel optimization model for the operation of smart grids is proposed. It is introduced as a multi-objective optimization problem considering two main goals, including the minimization of operation costs and the maximization of the power quality under a day-Ahead market perspective. To reach these goals, reducing power losses in transmission lines, and minimizing the cost of the energy transmitted from the upstream network as well as voltage deviation are considered as objectives function of the proposed model. These two conflicting objective functions are then summed up through the Weighted Sum Method (WSM) to create a single objective function to reduce the operational cost and increase the power quality in the Smart Grid simultaneously. Moreover, renewable energy resources such as wind turbines and photovoltaic arrays, and demand response programming are raised in the model. To evaluate the effectiveness of the proposed model, it has been tested on IEEE 33 bus system by using GAMS software. The simulation results show the benefits and efficiency of the proposed model.