Research On Cyber-physical Power System Routing Strategy Based On Improved Bee Colony Algorithm

In cyber-physical power system,the high integration of information system and physical system,surge in the number of devices,and collaborative scheduling of multiple energy systems have improved the flexibility and efficiency of the power system.But at the same time,it also increases a lot of information network transmission load,information network will face delays,congestion and other tests,which brings new hidden dangers to the safe and stable operation of the power system.When the power system fails,the information transmission is not timely and other problems may induce cascading failure,and even lead to the final blackout.Therefore,the routing strategy of information transmission needs to fully consider the different requirements of Quality of Service,the increasingly congested network environment and the flexibility of cyber-physical power system.With the development of the information network,the number of nodes in the network topology is gradually increasing,and the connection will become more complex.Therefore,in addition to the above problems,it is also necessary to consider the problem of quickly selecting the optimal path from a large number of feasible paths.In order to solve the above problems,this thesis first adopts the combination of analytic hierarchy process and entropy weight method to calculate the priority weights of various services and sort out the QoS requirements of each business.Aiming at the QoS requirements of different services,a routing model based on differentiated QoS indicators was established.The model mainly adopted three indicators,namely time delay,packet loss rate and bandwidth,to reflect the advantages and disadvantages of the selected path.Secondly,in order to improve the flexibility and anti-congestion capability of network,this thesis optimized the link-state routing path cost,make its can better reflect the state of the link,and introduce the cache replacement strategy,guaranteed in the congestion state high priority weights message forwarding priority,the simulation results show that routing strategy has better flexibility and anti-congestion capability,While satisfying differentiated QoS,the QoS index of the service is optimized and the transmission efficiency of the network is improved.Then,in view of high connectivity or more nodes network topology of a large number of optional path problem,on the basis of link-state routing,this thesis proposes a routing strategy based on improved artificial bee colony algorithm,through the tabu search algorithm and conjugate gradient method to improve the bee colony algorithm easily fall into local optimum,so as to realize the rapid optimization of path,the simulation results show that this routing strategy not only has good flexibility,anti-congestion ability and satisfies differentiated QoS,but also realizes fast path selection and improves the efficiency of routing.Finally,the influence of routing strategy on cyber-physical power system cascading failures is analyzed.Through IEEE39-bus system simulation,it is shown that the routing strategy in this thesis can reduce the probability and scale of cascading failures and improve the robustness of power system,which illustrates the effectiveness and practical engineering significance of the routing strategy studied in this thesis.