Impact of Responsive Demand Scheduling on Optimal Operation of Smart Reconfigurable Distribution System

In this work, a two-layer optimization framework to investigate the effect of responsive demand scheduling on distribution network in the presence of distribution feeder reconfiguration (DFR) is proposed. In the first layer, scheduling of responsive demand is carried out. For this purpose, two objectives: minimize customer energy payment and load variance of network is developed from perspective of customers and network operator respectively. These objectives are optimized both independently and jointly. In the second layer, the problem of DFR is solved with the modified load profile obtained from first layer to minimize energy losses. The joint optimization of customer energy payment and load variance of network in the first layer is formulated as a multi-objective model and solved using an augmented \(\epsilon \)-constraint method, and the trade-off solution is obtained using fuzzy min–max satisfying criteria. The DFR problem in second layer is solved using genetic algorithm. The efficacy of the proposed two-layer framework is assessed on 33-bus distribution system.