Research On Optimized Scheduling Of Multi-Energy Complementary Microgrid

In order to resolve the contradiction between fossil energy consumption and ecological environment protection effectively,a multi-energy complementary microgrid system integrating multiple renewable new energy generating units and multiple types of loads emerged.However,there are many types of energy coupling devices in the multi-energy complementary microgrid system,and the coupling operation mechanism is complicated.In addition,the flow direction of many kinds of energy sources in the system is diverse,which further increases the difficulty of optimal dispatching of multi-energy complementary microgrid.On the other hand,with the increase of wind and photovoltaic penetration,the randomness and uncertainty of high proportion of new energy generation units also pose new challenges to the optimal scheduling of multi-energy complementary microgrids.Therefore,it is of great theoretical value and practical significance to carry out the research on optimal scheduling of multi-energy complementary microgrids.(1)Firstly,this paper analyses the structure and operating mechanism of the multienergy complementary microgrid,establishes the mathematical models of different energy equipment with the system structure diagram,and deeply analyses how each equipment plays its role in the multi-energy complementary microgrid system,which lays a model foundation for the optimization scheduling research.(2)For the deterministic optimal scheduling of multi-energy complementary micronetwork system,this paper takes the output of energy equipment as variable,takes economic cost as optimization objective,establishes the multi-energy complementary microgrid optimal scheduling model,and then proposes an improved path finder algorithm incorporating multi-strategies,which improves the original path finder algorithm by utilizing many strategies such as mutual benefit symbiosis,Levy flight,Gauss walk and chaos reverse learning.Subsequently,the improved Pathfinder algorithm incorporating multiple strategies is applied to solve the multi-energy complementary microgrid optimal scheduling model.The comparison results of the algorithms prove that the algorithm proposed in this paper has obvious advantages in optimization calculation and convergence.The results of energy scheduling show that the flexibility of multi-energy complementary can be fully utilized by the output optimization of various energy equipment,which greatly reduces the energy purchase cost and realizes economic optimal scheduling.(3)In view of uncertain optimal scheduling of multi-energy complementary microgrid system,this paper establishes a two-stage robust optimal scheduling model of multi-energy complementary microgrid,which is a two-stage robust optimization model of Min-Max-Min structure,a pre-day planning stage is used to determine the output scheme of equipment,and an intra-day adjustment stage is used to identify the "worst" operating conditions of the system under uncertain factors of wind and light.The two-stage robust scheduling problem is solved by fusing the column constraint generation algorithm of the improved path finder algorithm.By comparing the schemes,it is verified that the method in this paper has significant effect in improving system economy and robustness,reducing wind abandonment and load shedding.The example analysis results show that the column constraints generation algorithm which fuses the improved pathfinder algorithm has the advantages of high accuracy and fast convergence in the two-stage robust optimal scheduling problem.The twostage robust optimal dispatching method sacrifices certain economy in the pre-day optimization scheduling stage.By adjusting the multi-energy coupling unit and multi-energy flow of the network,the phenomenon of wind and light abandonment or load shedding is considered and avoided in advance,which to a certain extent improves the ability of the system to absorb renewable energy and ensures the safe and reliable operation of the system.