A ROBUST MODEL OF DISTRIBUTION SYSTEM RECONFIGURATION CONSIDERING SUBSTATION CAPACITY CONSTRAINTS

In modern smart grids, distribution system reconfiguration has faced with enormous challenges in uncertainty modelling, contribution of several modern technologies and respecting standard limits. Here, a new approach for hourly feeder reconfiguration is formulated that presents probabilistic constraints for main substation capacity limits in presence of both renewable energy and load uncertainties. Then a robust mixed integer linear programming model of the problem is obtained. For this aim, we assume the standard normal distribution as a rated probability density function of uncertainties, at first. Secondly, using Kullback-Leiber divergence an ambiguity set is formed that show the distance of other probability distributions from the rated distribution (mainly called ambiguity set radius). Finally, the model is solved with a new powerful solver named YALMIP and MOSEK in MATLAB software. Simulation results of testing the approach on a modified ۳۳-bus IEEE distribution system validate the superiority of the method in making the system robust against uncertainty probability distribution functions. The main advantage of this method is the flexibility of problem to ambiguity radius. In the other words, this factor can be utilized by distribution system operator to deal with uncertainty in either optimistic (small radius) or pessimistic (large radius) look. The more ambiguity set radius, the more pessimistic approach, the more severe conditions, and finally the more network reconfiguration cost.

کلیدواژه ها:

Distribution system ، Feeder reconfiguration ، Uncertainty ، Renewable Energy ، Robust Optimization.