Containing Multiple Photovoltaic Power Micro-grid Planning

The distributed generation's output power which is based on distributed power is too small, and affected by the environment. The network operation control is difficult and other shortcomings.In order to discovery the advantagees of the new resoures, the scholars have proposed the concept of micro-grid. Micro-grid is a set composed of distributed generation, load, energy storage and other elements to form a single controllable small power supply system, it can make up for the shortcomings of distributed generation, and resolve conflicts between distributed power and power system.with the study objectives of planning the micro-grid with some photovoltaic powers, this paper is fully summary of previous research and absorb the results of network planning, and propose on the key issues of the target micro-grid-the siting and sizing of photovoltaic power, combined with the steady-state mathematical model of micro-grid and grid power flow calculation method, in order to target micro-power system economic operation under the proposed combination of improved genetic algorithm to achieve the micro-grid photovoltaic power supply planning.First, it describes the research situation in detail, points out the significance of this study in this paper.Second, it introduce the basic structure of the micro-grid, summed up the different of distributed power grid network interface types, the establishment of a variety of mathematical model of distributed power, and complete the relevant elements of the micro grid mathematical modeling. Especially for micro-grid in this paper, it compare the micro-grid photovoltaic power generation system access control methods, qualitative analysis of the photovoltaic power generation system to the micro-grid power after the problems posed by the problem of the voltage grid nodes selected IEEE36 Simulation analysis, pointed out that micro-grid photovoltaic power programs operate in need.Finally, it introduce the concept and characteristics of the standard genetic algorithm. For its corresponding improvement shortcomings, we propose a new genetic algorithm, and then in order to eonsider both economy and seeurity of microgrid, established level of micro-power voltage fluctuations, reduce power grid network loss, and minimize the cost of running the economy,it form a multi-objective optimization model. And then plan the micro-grid adapted from the node using IEEE36 system. The results show that the goal of improved genetic algorithm to solve the grid is entirely feasible, which can get the best configuration of photovoltaic power.