Optimal Spinning Reserve and Energy Allocation in Restructured Power Systems via Differential Evolution Algorithm

This paper presents a novel joint allocation of Spinning reserve and electric power in the restructured power system via Differential Evolution Algorithm (DEA). This method considers ramp-rate constraints and studies effects of it on clearing prices related to the allocation strategy. The optimal spinning reserve allocation and energy dispatched between the generating units is determined via proposed method while the objective function of the optimization problem is the minimum costs satisfying all constraints. A competitive day-ahead market is taken into account where generating units can offer active power for both energy and ancillary services markets through a single-part bid scheme. The proposed method is implemented to IEEE ٣٠Bus and IEEE ٥٧-Bus test systems, and the results are compared with those obtained from Particle Swarm Optimization (PSO), Memetic Algorithm (MA) and Shuffled frog-leaping algorithm (SFLA) respectively. The results show the effectiveness of the proposed method.

کلیدواژه ها:

Spinning Reserve ، Joint Dispatch ، Ramp-Rate ، Differential Evolution Algorithm