Synergistic Dispatch Of New Type Distribution Network With Wind-PV And PEVs

Compared with traditional distribution network, a new type distribution network has higher power supply reliability, higher power distribution automation level; what’s more, there is a lot of distributed generating and plug-in electric vehicle (PEVs) access, etc. On one hand, the access of renewable energy generating can reduce the power of the long distance transportation, reducing power loss in transmission process; on the other hand, it can reduce the pollution of the power supply side. The popularization of PEVs will improve the electrification level of the energy consumption side, which will make lots of pollution caused by traditional fossil fuel. Consequently, PEVs have a good economic benefit and environmental benefit. However, the intermittence and randomness of wind and solar will bring the grid a great challenge to operate safely and stably, meanwhile, the development of wind-solar generating industry is also restricted by that. The application of vehicle to grid (V2G) provides a method to solve the problem. Base on this, this article will study on the synergistic dispatch of wind-solar and PEVs.Specific work shows as follows: (1) The frame structure of the hybrid system with wind-solar and PEVs is introduced, meanwhile, the characteristics of PEVs and the mode of V2G are analyzed. The minimum equivalent load variance and the minimum cost of charging are constructed as the objective function of the synergistic dispatch model, at the same time, the charging time, charging demand, the battery limit and the charge sustainability are considered as the related constraints. The advantage of the synergistic dispatch model is analyzed, and the relevant principles of V2G strategy is investigate. (2) Considering that several random factors exist in the synergistic dispatch model, meanwhile, fuzzy theory plays good in dealing with uncertainty. Wind power, photovoltaic power and load are deal with fuzzy theory, and both trapezoidal and triangular membership functions are used; According to the characteristics of the objective function, lower semi-trapezoid membership function is introduced. On this basis, the final solution of the multi-objective function can be converted to solve the maximum satisfaction index. A new intelligent optimization algorithm Crisscross optimization algorithm (CSO) is introduced to solve the problem, which plays better in global search ability and convergence speed. According to the characteristics of the model, especially take action to reduce the dimension of the particle which will be solved, "dimension disaster" problem is skillfully avoided. The process of solving the problem using CSO is introduced.(3) A scene with wind generation, photovoltaic generation and a number of electric vehicles charging station is introduced to testify the effectiveness of the established model. The result shows that compared with triangular membership functions, trapezoidal membership function has better confidence in the forecast value; the algorithm has a stronger global searching ability comparing with traditional algorithm PSO. The synergistic dispatch model is proved by an example to have peak sharpening effect, which can alleviate the peak load and fill the valley, also meet the principle of power system economic dispatch.