Simultaneous Network Reconfiguration and Wind Power Plants Participation in Day-Ahead Electricity Market Considering Uncertainties

Recently, the participation of wind sources in electricity markets has become a severe challenge due to their intermittent nature. Reconfiguration of power systems can effectively reduce the negative effects of uncertainties. So, this article presents a new method for participating in wind power plants and uncertain customers in a day-ahead electricity market considering the reconfiguration process. This method tries to maximize social welfare through a two-level optimization problem. To this end, uncertainties are modeled using the empirical cumulative distribution function and the Monte-Carlo method, and a probabilistic analysis of the market is performed. Then, by defining some indices to evaluate the participants' satisfaction and using the analytic hierarchy process method (AHP), a new objective function is proposed so that its minimization leads to planning the system configuration and market participants to optimize mentioned indices. The proposed methodology also assumes that the participation of uncertain participants in the spot market will eliminate the imbalances caused by uncertainties. The simulations are implemented using real data on an 8-bus sample network. The results confirm the efficiency of the proposed method in significantly reducing power producers' and customers' costs along with increasing total income and profit from the sale of energy.