Research On Optimal Dispatching Of High Permeability New Energy Microgrid

Under the dual pressure of energy demand and environmental protection,renewable energy generation has been paid more and more attention.However,the randomness of distributed generation limits its scope of application,and large-scale access will have a negative impact on the stability of power grids.As an effective carrier of renewable energy,microgrids reduces the influence of the randomness of renewable energy on the stability of power systems.Meanwhile,microgrids can also provide power supply to remote areas which can not be connected to the main grid,and it provides an effective supplement for the traditional power system.In this paper,the economic operation of IMG with DG and the bi-level optimal dispatching of IMG with BSS are studied.The main contents of this paper are as follows:Firstly,according to the characteristics of wind turbine output,photovoltaic output and load power,the corresponding probability density function is obtained.The method of DST is proposed to obtained the expected value of DG output and load power.In addition,the microgrids dispatching strategy is also analyzed,which has a guiding significance for the construction and solution of the optimal dispatching model of the microgrid.Secondly,a optimal scheduling mode is proposed for minimizing the operating costs of an isolated microgrid based on chance-constrained programming.The model is transformed into a readily solvable mixed integer linear programming formulation via DST and solved by CPLEX solver.The test results on the microgrid test system reveal that the proposal significantly exceeds the commonly used hybrid intelligent algorithm with much better and more stable optimization results and significantly reduced calculation times.Finally,in order to coordinate the scheduling problem between IMG and BSS in multistakeholder scenarios,a new bi-level optimal scheduling model is proposed for promoting the participation of BSS in regulating the IMG economic operation.To solve the model,a hybrid algorithm,is proposed by combining a real/integer-coded JAYA algorithm and the BBA,in which the JAYA and BBA are respectively employed to address the upper-level and lower-level,and the bi-level model is eventually solved through alternate iterations between the two levels.The simulation results on a microgrid test system verify the effectiveness and superiority of the presented approach.