Research on the planning of grid-connected capacity of distributed generations based on the maximum social benefits

Distributed generation (DG) has been widely recognized because it is safe, reliable, convenient, and beneficial to environment. With the continuous growth of power demand in China, a large number of DG will access system network, and there lies great necessity to determine proper accessing capacity. Accessing capacity of DG is taken as variable in this paper and the planning model is established with the goal of maximizing the total revenue. Based on the purchasing price of existing DG, energy conservation, emission reduction and the whole life cycle of DG are all taken into account. During the whole life cycle, the benefits of power generation and emission reduction, investment cost, operation maintenance cost and other expenses are taken into consideration. In view of the large blindness and the disadvantage of the rapid convergence in primary stage and slow convergence in later stage in optimizing of the artificial fish algorithm, a hybrid artificial fish algorithm is proposed in this paper, and the proposed model is solved by using the algorithm. Finally IEEE18 node is applied to verify the effectiveness of the model and algorithm.