Research On Optimal Scheduling Of Multi-micro Network System

Renewable energy power generation has been gradually promoted due to its diversified,clean and flexible power generation methods.They arc connected in the distribution network in the form of distributed generation(DG).With the increase of distributed power penetration rate,the traditional scheduling mode of distribution network is no longer applicable.At this time,the micro-grid is widely developed as the best way to eliminate renewable power.Usually,the neighboring micro-grids form alliances with common interests or goals to form a multi-micro network system(also known as a micro-network group).This is a new form of power grid with different structural composition and traditional distribution network.Therefore,it is of great significance and value to study the scheduling mode of multi-micro network system.Firstly,the operational characteristics of common distributed generation units such as wind turbines,photovoltaic power generation systems,diesel engines,fuel cells and battery energy storage units are analyzed,and their mathematical models are established.The definition and characteristics of multi-agent system arc introduced.The control architecture of multi-agent system based on multi-agent system is constructed.The specific functions of each agent are analyzed in detail,which lays a theoretical foundation for the research of optimal scheduling method for multi-micro network system.Secondly,the bilevel programming theory is introduced.The functions of the upper and lower layers are analyzed.and the upper and lower targets are established:the upper layer coordinates the sub-grid energy mutual aid,suppresses the overall output fluctuation and reduces the impact on the distribution network;the lower layer reduces the sub-microgrid comprehensive cost.Then,under the goal,the system double-layer scheduling strategy is formulated by utilizing the flexibility and autonomy of the multi-agent system.Then,the upper and lower layer optimal scheduling models are established respectively:the upper layer is aimed at the minimum sum of the standard deviation of the total output curve of the microgrid group and the absolute value of the total output of the microgrid group,and the lower layer is aimed at the minimum comprehensive cost of the microgrid.A solution procedure is developed for the model using the BSAS algorithm.Finally,a proposed example is used to verify and analyze the proposed multi-layer double-layer optimal scheduling model.The results show the effectiveness of the optimal scheduling strategy for multi-microgrid systems proposed in this paper.Compared with the traditional microgrid scheduling method,the microgrid participates in the microgrid group scheduling,which is more conducive to its own economic benefits.At the same time,for the whole microgrid group,it is more conducive to the mutual energy exchange between the microgrids,and also reduces the impact of multiple microgrid output fluctuations on the distribution network.