Sitting And Sizing Of Distribute Generation Based On Genetic Algorithm

Along with the sustaining high-speed development of domestic economy, our country has a great demand on energy, especially electric energy. To meet this demand, effective measures should be taken in the construction of electric industry during a long time in our country. Under the background of the exhausted fossil fuels and environmental pressure, it is considered that the technology of distributed generation introduced into electric energy system is a good choice. Distributed generation could be utilized in electrical peak shaving, powering remote areas independently, saving energy and making profit for enterprises as well. However, distributed generation may make an influence on the nodal voltage of network, line current, power splitting and powering reliability, which is closely related to the location and capacity of DG’s installation. Therefore, it is of great importance to study the sitting and sizing of distributed generation in distribution network.To describe the physical composition of the network and calculate the operating status of distribution network, the essay has set up the equivalent model of the physical composition of distribution network and calculated the power flow in Newton-Raphson algorithm. On this basis, the cost of common distribution network is calculated.In this essay, a model of distributed generation sitting and sizing is set in an existing distribution network, and it is solved in genetic algorithm. The model as mentioned has taken total power production cost, distributed generation installation cost, blackout fines and emissions penalty into account. Besides, taking the system of IEEE33 node as an example, it could examine the applicability of model and the effectiveness of algorithm. For the defects of sitting and sizing of distributed generation by the method of traditional algorithm, it has introduced adaptive crossover and mutation rate, population repair, immigrants to improve, which achieves a great effort.To make the network with distributed generation in a better state, the reactive power compensation is needed. Based on the IEEE33 node with distributed generation which has been optimized, the reactive power optimization problem is discussed. The optimal planning result can ensure good qualities of electric energy, what’s more, it will reduce the power loss in distribution network and the total cost of construction and operation.