| With the frequent occurrence of extreme weather caused by global warming,it poses a huge threat to the safe and stable operation of the power system,and the construction of the energy Internet has led to the access of large-scale distributed power sources,resulting in increasingly obvious multi-energy coupling characteristics of the distribution network system;one On the one hand,it has a significant impact on the location and capacity planning of distributed power generation in the multi-energy system.On the other hand,the complex structure of the distribution network and the diversification of energy sources also pose greater challenges to the power supply recovery of the distribution network after the disaster.Therefore,this paper studies from the following three aspects:First,the location selection of the distribution network energy hub is studied taking into account the temporal and spatial characteristics of typhoons.Considering the influence of typhoon temporal and spatial characteristics on distribution network line faults,a probability model of distribution network line faults is established,and based on node degree and node voltage cross-line risk index,the distribution network node types are profiled,and the distribution network system is determined.Important nodes with little impact under typhoon weather;use the energy hub to realize the coupling of wind power and natural gas,and establish an interaction model between the energy hub and the distribution network;consider the influence of typhoon time-space characteristics and node type profiles,establish an energy hub site selection model,and establish an energy hub site selection model.The typhoon data of the 2012 No.8 tropical typhoon "Vicente" in the United States was selected for numerical simulation,and the site selection plan was formulated.Then,on the basis of the second chapter,the constant capacity of the distribution network energy hub is further studied.Aiming at the modeling and analysis of the main operating equipment in the energy hub including wind power,in order to describe the operating state of the wind turbine in the energy hub in the typhoon,the Markov chain is used to establish the probability model of the operating state of the wind turbine to obtain the operating state probability of the wind turbine in the typhoon;A multi-objective optimization model is established with the lowest annual investment cost,the lowest annual operation and maintenance cost,and the optimal annual carbon emission cost in the whole life cycle,and the IEEE33 node is used to simulate an example.The results show that the proposed model is objective and accurate.Finally,aiming at the problem of emergency repair and reconstruction after the distribution network failure under the influence of typhoon weather,a strategy for emergency repair and reconstruction of the distribution network that takes into account the node type portrait and the wind power energy hub is proposed.Based on Monte Carlo and improved K-means algorithm,the uncertainty of wind power output is reduced in multiple scenarios;the emergency repair and reconstruction model is established in two stages.The distribution network network optimization is carried out including the influence of the access of wind power energy hubs;the distribution network topology radial constraints and connectivity constraints are introduced to improve the NSGA-Ⅱ algorithm to adapt to the model solution.Simulations show that the proposed model can reduce the system network loss and voltage offset,and the proposed algorithm can reduce the infeasible solution set.The paper mainly studies the location and capacity determination of the distribution network including wind power energy hubs under the influence of typhoon weather,and the emergency repair and reconstruction after the distribution network failure.The simulation results show that the model proposed in the paper is objective and accurate,which can further improve the distribution network.It provides a reference for power system planning and reconstruction of wind power. |
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