Networked Multi-Agent Systems多代理网络系统.pptVIP

Networked Multi-Agent Systems多代理网络系统.ppt

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Networked Multi-Agent Systems多代理网络系统

* * * * * * * * * * * * * * * * * * * * * * * * * * Add here algebraic graph theory and explain * Overlap of subgraphs * Problem with the radius/neighborhood, and A/R functions, and point out the problems * * * * Input some other control methods, and our work plan, fuzzy……and that fuzzy paper. * * * * What means strongly connected * Our cooperation with Lu Jie on group decision support systems (GDSS) * * * * * * * * * * * * * Add Xiong‘s work * * Causes 28 July 2012, the outage of the second circuit of 400 KV Bina-Gwalior–Agra line for up-gradation to 765 KV level. at 15:10 hours on 29th July 2012 under similar conditions. * * one stations was overloaded and then cascading failure 30 July 2012 * The worst blackout in history. 20 out of 28 states are out of power supplying 31 July 2012 Transmission Capacity * 7.30 * 2682MW 2585MW 7.31 * 2100MW 1825MW 1935MW 181MW 2100MW A new model Involving Active(P) and Reactive(Q) Power Loads Three kinds of loads (Apparent, active and reactive ) Traditional model only considering one kind of load It is much more practical for analyzing the power grid Simulated as * A new model It is described as Therein, Where, * A new model beta and gamma are the tolerance parameter Q load is normally assumed as 10% of its P load. the number of the broken nodes, denoted by ai, and The normalized avalanche index is. * Conclusion A cascading failure is induced and enhanced when one of the tolerance parameters β and γ is smaller than the corresponding threshold β? or γ?. The probability of a cascading failure in the power grid is small when β and γ are both larger than the thresholds β? and γ?. Find out the thresholds β? and γ? as a guide for the engineers to choose the proper tolerance parameters in order to ensure the stability and low cost of power grid. * Outline Introduction Swarm Dynamics Consensus Protocol Escape Panic Locust Swarming Evolution of Cooperation Cascading Failure in Indian Power Grid Conclusions Conclusions

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