Optimization of SDN Flow Operations in Multi-Failure Restoration Scenarios

2016 ◽  
Vol 13 (3) ◽  
pp. 421-432 ◽  
Author(s):  
Saeed A. Astaneh ◽  
Shahram Shah Heydari
Keyword(s):  
Author(s):  
Jiaxin Wu ◽  
Pingfeng Wang

Abstract Mitigating the effect of potential disruptive events at the operating phase of an engineered system therefore improving the system’s failure resilience is an importance yet challenging task in system operation. For complex networked system, different stakeholders complicate the analysis process by introducing different characteristics, such as different types of material flow, storage, response time, and flexibility. With different types of systems, the resilience can be improved by enhancing the failure restoration capability of the systems with appropriate performance recovery strategies. These methods include but not limit to, rerouting paths, optimal repair sequence and distributed resource centers. Considering different characteristics of disruptive events, effective recovery strategies for the failure restoration must be selected correspondingly. However, the challenge is to develop a generally applicable framework to optimally coordinate different recovery strategies and thus lead to desirable failure restoration performances. This paper presents a post-disruption recovery decision-making framework for networked systems, to help decision-makers optimize recovery strategies, in which the overall recovery task is formulated as an optimization problem to achieve maximum resilience. A case study of an electricity distribution system is used to demonstrate the feasibility of the developed framework and the comparison of several recovery strategies for disruption management.


Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3673
Author(s):  
Chen ◽  
Lou ◽  
Guo

The risks faced by modern energy systems are increasing, primarily caused by natural disasters. As a new form of multi-level energy complimentary utilization, integrated energy systems are attracting more and more attention for their high-efficiency and low-cost. However, due to the deep coupling relationship between systems, they are more susceptible to natural disasters, resulting in a cascading failure. To enhance the resilience of the integrated electricity-gas system, this paper proposes a failure restoration strategy after a natural disaster occurs. First, the temporal constraints of the dispatching model are considered, and the failure restoration problem is molded into a multi-period mixed-integer linear programme, aiming to recover the interrupted loads as much as possible. Second, since the uncertain output of distributed generation sources (DGs) such as wind turbines and photovoltaic systems will threat the reliability of restoration results, the robust formulation model is incorporated to cope with this problem. Third, we propose a new modeling method for radial topology constraints towards failure restoration. Moreover, the Column and Constraints Generation (C&CG) decomposition method is utilized to solve the robust model. Then, the piecewise linearization technique and the linear DistFlow equations are utilized to eliminate the nonlinear terms, providing a model that could be easily solved by an off-shelf commercial solver. The obtained results include the sequence of line/pipeline switchgear actions, the time-series dispatching results of electricity storage system, gas storage system, and the coupling devices including the gas-fired turbine, power to gas equipment. Finally, the effectiveness of the proposed restoration strategy is verified by numerical simulation on a 13-6 node integrated energy system.


2011 ◽  
Vol 55 (9) ◽  
pp. 2329-2351 ◽  
Author(s):  
M. Yuksel ◽  
K.K. Ramakrishnan ◽  
R.D. Doverspike ◽  
R.K. Sinha ◽  
G. Li ◽  
...  

2004 ◽  
Vol 8 (1) ◽  
pp. 105-117
Author(s):  
Zhonghui Yao ◽  
Jeffrey Fitchett ◽  
Kent Felske

Author(s):  
Chan Yeol Park ◽  
Joon-Min Gil ◽  
Youn-Hee Han ◽  
Chong-Sun Hwang

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