Multi-area generation scheduling algorithm with regionally distributed optimal power flow using alternating direction method

This paper calls attention to the core issue as to the multi-area generation scheduling algorithm in interconnected electric power systems. This algorithm consists in deciding upon on/off states of generating units and their power outputs to meet the demands of customers under the consideration of o...

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Vydané v:International journal of electrical power & energy systems Ročník 33; číslo 9; s. 1527 - 1535
Hlavní autori: Chung, K.H., Kim, B.H., Hur, D.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Elsevier Ltd 01.11.2011
Elsevier
Predmet:
Algorithms
Alternating direction method
Applied sciences
Cost engineering
Distributed optimal power flow
Economics
Electric power generation
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Generalized Benders decomposition
Generation scheduling
Interconnected power system
Mathematical models
Miscellaneous
Operation. Load control. Reliability
Optimization
Power flow
Power networks and lines
Scheduling
Alternating direction method
Generalized Benders decomposition
Generation scheduling
Distributed optimal power flow
Interconnected power system
Short term
Performance evaluation
Dispatching problem
Power system economics
Optimization method
Power distribution planning
Trade
Electrical network analysis
Transportation network
Power markets
Power system planning
Clientele
Mixed integer programming
Nonlinear problems
Telemetry
Algorithm
Forecasting management
Optimal power flow
Electrical network
Numerical simulation
Economic aspect
Economic impact
Effectiveness factor
On off effect
ISSN:0142-0615, 1879-3517
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Popis
Shrnutí:This paper calls attention to the core issue as to the multi-area generation scheduling algorithm in interconnected electric power systems. This algorithm consists in deciding upon on/off states of generating units and their power outputs to meet the demands of customers under the consideration of operational technical constraints and transmission networks while keeping the generation cost to a minimum. In treating the mixed integer nonlinear programming (MINLP) problem, the generalized Benders decomposition (GBD) is applied to simply decouple a primal problem into a unit commitment (UC) master problem and inter-temporal optimal power flow (OPF) sub-problems. Most prominent in this work is that the alternating direction method (ADM) is introduced to accomplish the regional decomposition that allows efficient distributed solutions of OPF. Especially, the proposed distributed scheme whose effectiveness is clearly illustrated on a numerical example can find the most economic dispatch schedule incorporated with power transactions on a short-term basis where utilities are less inclined to pool knowledge about their systems or to telemeter measured system and cost data to the common system operator and nevertheless the gains from trade such as economy interchange are vital as well.
Bibliografia:ObjectType-Article-2
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ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2010.11.013