Load restoration optimization based on entropy weight method
Load restoration problem is a hybrid programming problem combining with the zero-one integer programming and the linear programming problem and has many safe constraints. It is the primary objective to maximize the load pickup through load priorities. This paper employs entropy weight method to evaluate load priorities. It concerns about the closely related indexes including load importance, load outage loss, load fluctuation and load reliability. By using the method, the objective weights (entropy weights) deduced from these indexes could be used in conjunction with the subjective weights acquired from knowledge and experience of experts. Obviously, this method can describe load priorities with more accurate results and overcome the defects of conventional methods that only use subjective weights. The optimum model of load restoration is set up and it can be transmitted to a 0–1 knapsack problem with one constraint through constraint relaxations. And hybrid particle swarm optimization algorithm is employed to solve the problem. The proposed methodology has been validated with the IEEE39 system.