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This study explores the impact of spare capacity and topology on the security of resource networks. It examines the necessary conditions for network security, the critical value of linearly increasing speed, and the upper bound of resource network security. Real-life examples and experimental results are provided to support the findings.
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How Does Spare Capacity and Topology Affect the Security of Resource Networks? Qian-Chuan Zhao zhaoqc@tsinghua.edu.cn Qing-Shan Jia jiaqs@tsinghua.edu.cn Yang Cao caoy02@mails.tsinghua.edu.cn
Outline • How much spare capacity is necessary? • Models: Balanced partition & node-weighted graph • The necessary condition on spare capacity • Critical value of the linearly increasing speed • How topology affects security: An upper bound of resource network security • Motivation • Upper bounds of security • Identification of critical transmission lines
Motivation • Real life examples: • Aug. 14, 2003 blackout of the North American electric power network in USA and Canada [CanadaUSPSOTF2004] • Summer of 2005, Hurricanes Katrina & Rita, record prices in the US oil market • Jan. 2006, gas pricing dispute between Russia & Ukraine, shortage in Ukraine and throughout western Europe • …
Motivation • Necessary condition: balance between generation & consumption • Why do local contingencies lead to global performance degradation? • Practical solution: Spare capacity (e.g., backup generators, load shedding), costly, growing network capacity • Interesting question: How much spare capacity is necessary for the security of resource network?
Related work in Physics • Network structure + node/edge dynamics network complexity • Network resilience w.r.t. remove of nodes or edges • Results • Many real life networks & artificial network, robust to random failure, fragile to intentional attacks • Critical components cascading failure
Balanced partition Tolerance = 0 (exact balance), network (a) has 1 BP, (b) has none. Tolerance = 1, (a) & (b) has BPs.
The question • Fix the topology • Given the separation contingency, network capacity (i.e., total power consumption) & tolerance (i.e., spare capacity) • Consider all generation patterns and load patterns • Measure the BP probability • When the network capacity, how fast to increase the tolerance s.t. the BP prob.>0?
Experiment I: Result T(P)=0.5Pb
Theoretical Result I • Theorem 1: When the tolerance increases slower than a linear function of the growing network capacity, then the BP probability will converge to zero. • Proof (see [ZhaoJiaCao2007])
Experiment II: Critical value T(P)=aP Critical value: a=0.43
Theoretical Result II • There is a critical value of the linearly increasing speed of the tolerance ac. If a<ac, BP prob. Still decreases to zero when the network capacity . • Proof (See [ZhaoJiaCao2007]).
Partial Conclusion • How much spare capacity is necessary for the security of resource networks? • At least linearly increase the spare capacity when the network capacity increases. • The linear increasing speed should be no less than a critical value.
Motivation • Fixing the topology, considering single and multiple line outages, what’s the probability for a power network to collapse (i.e., large load shedding)? • Formulate a decision problem: will a line outage contingency cause a collapse (i.e., a large load shedding)? • Use Ordered Binary Decision Diagram (OBDD) to count the line outages leading to collapse. • The sum of the probabilities of these line outages gives a lower bound of collapse probability, i.e., an upper bound of security. • By counting the appearance of each line in the fatal line outages, we identify the critical lines.
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Conclusions • Necessary condition of security: resource balance condition. • How much spare capacity is necessary for the security of resource networks? • Linear increasing, with rate greater than a critical value. • How topology affects security: an upper bound of security. • OBDD-based fast enumeration. • Identifies critical transmission lines.
Thank you! Q&A