Abstract:
Transmission interconnections can improve power system reliability, and this reliability improvement can be measured by the change in loss of load probabilities (LOLP's) ...Show MoreMetadata
Abstract:
Transmission interconnections can improve power system reliability, and this reliability improvement can be measured by the change in loss of load probabilities (LOLP's) . This paper presents a new method for evaluating loss of load proba bilities for an interconnected multi-area system. This method is based upon a reduced set of demand-supply feasibility conditions. This reduced set of feasibility conditions are used to directly define the infeasible region without iterative state space decomposition. LOLP's are then evaluated by attributing the probabilities of infeasible states to the appropriate reliability indices. The simulation results of a sample four-area system with 9,068,544 capacity states are presented in this paper. The computational efficiency of the proposed method is also illustrated in this paper.
Published in: IEEE Transactions on Power Systems ( Volume: 2, Issue: 4, November 1987)
Improving Power System Reliability Calculation Efficiency With EPSO Variants
Vladimiro Miranda,Leonel de Magalhaes Carvalho,Mauro Augusto da Rosa,Armando M. Leite da Silva,Chanan Singh
Models and considerations for parallel implementation of Monte Carlo simulation methods for power system reliability evaluation
N. Gubbala,C. Singh
Monte Carlo Simulation and Contingency Enumeration in Bulk Power Systems Reliability Assessment
Andrea M. Rei,Marcus Th. Schilling,Albert C. G. Melo
Comparison of Simulation Methods for Power System Reliability Indexes and Their Distributions
Panida Jirutitijaroen,Chanan Singh
A method for frequency dynamics analysis and load shedding assessment based on the trajectory of power system simulation
Aimin Li,Zexiang Cai
A comparison of Monte Carlo simulation techniques for composite power system reliability assessment
R. Billinton,A. Sankarakrishnan
Generation/transmission power system reliability evaluation by Monte Carlo simulation assuming a fuzzy load description
J.T. Saraiva,V. Miranda,L.M.V.G. Pinto
Security modeling for power system reliability evaluation
V.A. Levi,J.M. Nahman,D.P. Nedic
Bulk Power System Reliability Assessment Experience with the RECS Program
A. P. Meliopoulos,A. G. Bakirtizis,R. R. Kovacs,R. J. Beck
Security-Constrained Adequacy Evaluation of Bulk Power System Reliability
Fang Yang,A. P. Sakis Meliopoulos,George J. Cokkinides,George K. Stefopoulos