Chronological probabilistic production costing and wheeling calculations with transmission network modeling

The authors present an approach for the integrated analysis of generation and transmission system in terms of production costing and wheeling rate calculations. The methodology is based on the chronological simulation of system operation. Economic dispatch at each state is provided by linearized opt...

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Bibliographic Details
Published in:IEEE transactions on power systems 1992-05, Vol.7 (2), p.885-891
Main Authors: Pereira, M.V.F., Gorenstin, B.G., Morozowski Fo, M., Silva, J.B.d.S.
Format: Article
Language:English
Subjects:
240100 - Power Systems- (1990-)
240700 - Power Transmission & Distribution- Economic, Industrial & Business Aspects- (1990-)
Applied sciences
CALCULATION METHODS
Capacity planning
Contracts
COST
Costing
Costs
ECONOMIC ANALYSIS
ECONOMICS
ELECTRIC UTILITIES
Electrical engineering. Electrical power engineering
Electrical power engineering
Engineering
Engineering, Electrical & Electronic
EVALUATION
Exact sciences and technology
INTERCONNECTED POWER SYSTEMS
Load flow
MONTE CARLO METHOD
Monte Carlo methods
OPERATION
POWER GENERATION
Power generation economics
Power networks and lines
Power system economics
Power system modeling
POWER SYSTEMS
POWER TRANSMISSION
POWER TRANSMISSION AND DISTRIBUTION
Production systems
PUBLIC UTILITIES
Science & Technology
SIMULATION
Technology
Theory. Simulation
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Summary:The authors present an approach for the integrated analysis of generation and transmission system in terms of production costing and wheeling rate calculations. The methodology is based on the chronological simulation of system operation. Economic dispatch at each state is provided by linearized optimal power flow routines, which can represent network aspects and export/import contracts among utilities. Probabilistic aspects are represented by Monte Carlo sampling of generation capacities, load levels, etc. Marginal costs are calculated at bus level and serve as a basis for the evaluation of wheeling rates. This makes it possible to model complex utility situations for use in power system planning and operations, determination of interchange contracts, and regulatory applications.< >
ISSN:0885-8950
1558-0679
DOI:10.1109/59.141800