Research On Energy Optimization Dispatching Of Grid-Connected Microgrid Based On Demand Side Response

As a part of the smart grid,microgrid is the best choice for distributed energy which connects to the grid,so it is widely used.However,due to the various kinds and different combinations of distributed energy,controlling the microgrid is difficult.More importantly,the distributed power supply has randomness and uncertainty,causing the high cost of the microgrid power generation and the large emission of pollutants,which affect the operation efficiency of the microgrid seriously.In order to improve the operational efficiency of the microgrid,it is of great significance to study the energy optimal scheduling of the microgrid.In this paper,energy optimization dispatching of grid connected microgrids is studied.The contents of the study are as follows:(1)First,in order to provide the guarantee for the following research,the mathematical models of photovoltaic cells,wind turbines,micro turbines,diesel generators and batteries are established,and the corresponding function expressions of the output power are given.(2)Because of the low precision of traditional artificial fish swarm algorithm,it is easy to fall into local optimum in the later period of the algorithm.In order to overcome the shortcomings of traditional fish swarm algorithm,an artificial fish swarm algorithm based on simulated annealing algorithm(SA_AFSA algorithm)is proposed.The algorithm solves the shortcomings of traditional fish swarm algorithm and verifies it by specific test functions.Compared with the adaptive artificial fish swarm algorithm(AAFSA),the precision and convergence speed of the SA_AFSA algorithm is better than the AAFSA algorithm.Finally,SA_AFSA is used in energy optimization dispatching of grid-connected microgrids.(3)The mathematical model of single microgrid considering demand-side response is established,and the optimal dispatching strategy of single microgrid is given.SA_AFSA algorithm is used to optimize the generation cost,pollutant emission and energy interaction of a single microgrid in a separate grid-connected mode,and the corresponding optimization process is given.The correctness of the optimal scheduling strategy and the superiority of the algorithm are verified by a specific example.The calculation results show that taking the load reduction measures has better economic and environmental efficiency.Considering the environmental efficiency and autonomy,the microgrid can transit smoothly from the grid connected mode to the off grid mode.(4)In this paper,the mathematical model of multi-microgrid energy optimal scheduling is established in consideration of demand side response from economy,environmental efficiency and autonomy,and a multi-microgrid optimization scheduling strategy is given.Then,the SA_AFSA algorithm is used to optimize the power generation,pollutant emission and energy interaction under the joint coordination mode of multi-microgrid.And the solution process is given.The correctness of the model and strategy is verified by a specific example.The calculation results show that when the load reduction measures are taken,multi-microgrids have lower overall power generation costs and less pollutant emissions.When only autonomy is considered,the microgrid units in the multi-microgrid can operate autonomously and independently,and energy interaction is inexistent...