Research On Optimal Scheduling Of Microgrid Based On Tabu Particle Swarm Optimization Algorithm

Microgrid system has the following advantages: integration of the advantages of distributed power supply;To reduce the adverse effects of distributed generation on grid stability;The comprehensive benefits of distributed power supply can be fully played.Nowadays,the research of microgrid system has become a hot spot and one of the key research directions in the field of distributed generation.The in-depth study of optimal dispatching strategy of micro-grid is the basis for building green power grid,promoting the utilization of renewable and clean energy,improving energy utilization efficiency and reducing environmental pollution,which has important theoretical and practical engineering significance.Based on the national natural science foundation of "considering unbalanced nonlinear configuration and coordinated control strategy for micro power grid capacity study(61903129)" and the hubei province natural science foundation of "green energy micro multi-objective network system design and coordination control research cfb512(2016)",with the support of project of cooling load in order to meet user needs as the starting point,focus on the micro grid system overall efficiency optimization,around the micro grid system optimization mathematical modeling and micro power grid scheduling algorithm.The main work and research achievements of this paper are as follows:(1)In the aspect of mathematical modeling of micro-grid system: this paper constructs a micro-grid system structure with wind power generation,photovoltaic power generation,micro-gas turbine,fuel cell and energy storage device as distributed power sources,and studies the characteristics of each distributed power source in the system and establishes corresponding mathematical models.Taking the micro-grid system as the research object,the constraints such as power balance,upper and lower limits of output power of each equipment,pollutant emission limit and so on are respectively established,and the optimal dispatching model considering operation cost,environment cost and comprehensive cost is established.Four different operation strategies were designed based on the three principles of maximum use of wind and photovoltaic green energy for power generation,giving priority to output of micro-gas turbine,and peak and valley filling of energy storage device.(2)In the study of optimal scheduling algorithm for micro-grid: in this paper,the inertia weight and learning factor of pSO are improved accordingly,which effectively improves the searching ability of pSO in the early stage and the convergence accuracyin the later stage.In view of the shortcoming that particle swarm optimization is prone to fall into local optimal,i.e.local dead cycle,a tabu search algorithm is proposed,which has the advantage of strong local search ability.A new algorithm,tabu particle swarm optimization,is formed by combining the two.Four typical mathematical functions are used to test the algorithm,and the test results show that the TABu algorithm not only has the advantages of strong global search ability and high convergence precision,but also has the advantages of strong local search ability of tabu search algorithm.(3)In the aspect of example simulation research: taking a community microgrid system as an example,the cooling load and output of each distributed power source in the community are investigated on a typical summer day,and the simulation and comparative analysis are conducted under different objective functions and different operation strategies.The simulation results show that the multi-objective model in the micro-grid system is more effective than the single-objective model in reflecting the actual comprehensive operation benefits of the system,and it has higher reference value compared with the single-objective model.Implementation of operation strategy iv(time-of-use price,two-way purchase and sale of power between micro grid and large grid),the distributed power supply in the micro grid has better output effect,better system operation condition and optimal comprehensive benefit.