Based On Adaptive Atificial Fish Algrithm Of Micro Grid Optimal Operation

As a result of micro-grid there is a variety of distributed power supply, can be flexible to run in the grid and off-grid state, effectively solve the problems of new energy power generation access to large power grid. Whereas, the various kinds and combination randomness of distributed powers led to the microgrid some problems, such as the operation control difficult and high operating costs. Among them, the optimized operation of the micro-grid can reduce the cost of electricity generation and environmental pollution, improve energy efficiency, that is critical to the economic, reliable operation and environmental protection of microgrid systems,Therefore, it is very important to study the optimal operation of microgrid.Firstly, this article introduced the background and significance, and then analyzed some research status of micro grid and its optimal operation at home and abroad, then structural characteristics and working principle of the typical micro grid are described. Detailed analysis the main micro-power of micro grid: operating characteristics and cost function of wind turbines, photovoltaic cells, micro-gas turbine, fuel cells, energy storage device, and lay the foundation for the establishment of multi-objective optimization operation model of microgrid.Secondly, an improved adaptive artificial fish swarm algorithm is proposed for the basic artificial fish swarm algorithm is easy to fall into the local optimal solution, the convergence speed is slow and the optimization precision is low: Which mainly improves the visual and the step size of the algorithm prey, artificial fish search by two kinds of visual at the same time,calculating the food concentration of the two targets and comparing with the current food concentration after determining the two target locations, choose a low food concentration. to move. Indicating that the improved algorithm is superior to the basic artificial fish swarm algorithm by testing three local extreme values.For the connected grid and isolated grid including wind turbine, photovoltaic cell, micro turbine fuel cell and energy storage system, considering the variable generating costs (including changing costs of fuel,electricity exchange,investment depreciation,maintenance) and environment costs,given the operation condition in solving the model, making the operating costs of system in the operating period lowest, then establish the model of multi-objective economic optimization micro-grid. Formulating the time-sharing optimization strategy in network operation and isolated operation, using constrained optimization adaptive artificial fish swarm algorithm (AAFSA) to solve the model, then calculate optimal output of each micro power and total operation cost in operating period, and make contrast with basic AFSA. The simulation example shows that: The improved algorithm has the characteristics of avoiding falling into local optimal solution, quick convergence speed and high accuracy.