scholarly journals Risk assessment of power transmission network failures in a uniform pricing electricity market environment

Energy ◽  
2017 ◽  
Vol 138 ◽  
pp. 1042-1055 ◽  
Author(s):  
Islam Abdin ◽  
Yan-Fu Li ◽  
Enrico Zio
Keyword(s):  
Risk Assessment ◽  
Electricity Market ◽  
Power Transmission ◽  
Transmission Network ◽  
Market Environment ◽  
Uniform Pricing ◽  
Network Failures

Transmission Network Planning Based on Genetic Algorithm in Market Environment

2015 ◽  
Vol 737 ◽  
pp. 273-277
Author(s):  
Hai Ke Liu ◽  
Hai Yang ◽  
Ying Zhang ◽  
Yi Tao Jiang ◽  
Su Juan Zhang
Keyword(s):  
Genetic Algorithm ◽  
Power Transmission ◽  
Model Simulation ◽  
Network Planning ◽  
Minimum Cost ◽  
Transmission Network ◽  
Planning Model ◽  
Market Environment ◽  
Transmission Network Planning ◽  
Hierarchical Genetic Algorithm

This paper establishes a transmission network planning model under uncertainty market environment, and consider N-2 security of the double circuit lines on the same tower. The model is solved with the method of hierarchical genetic algorithm, finally get the future transmission network planning meet the need of reliability and the minimum cost of schemeunder uncertain environment .To build a simulation model, simulation the security impact of building circuits on the same tower to power transmission network planning.

Security Region Based Dynamic Security Risk Assessment of Power Transmission System

2012 ◽  
Vol 433-440 ◽  
pp. 2687-2693 ◽  
Author(s):  
Dong Tao Wang ◽  
Yi Xin Yu
Keyword(s):  
Risk Assessment ◽  
New England ◽  
Power Transmission ◽  
Transmission System ◽  
Security Risk ◽  
Control Cost ◽  
Dynamic Security ◽  
Power Transmission System ◽  
Security Region ◽  
Security Risk Assessment

The paper presents a framework of security region based dynamic security risk assessment of power transmission system. The application of practical dynamic security region (PDSR) in dynamic security risk assessment and the calculation steps of the dynamic security risk assessment are given in this paper. A model of risk assessment optimization which takes account of optimizing preventive and emergency control cost and contingency set decomposition is introduced. The effectiveness of this model has been proved by test results on the New England 10-generator 39-bus system.

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