Dynamic formulation and approximation methods to solve economic dispatch problems

Economic dispatch (ED) is an optimisation tool that is used to allocate active load demands to the generating units through optimising the fuel generation cost function subject to the different operational constraints. The high non-linearity of the power system imposes mathematical challenges in for...

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Published inIET generation, transmission & distribution Vol. 7; no. 8; pp. 866 - 873
Main Authors Abouheaf, Mohammed I, Lee, Wei-Jen, Lewis, Frank L
Format Journal Article
LanguageEnglish
Published Stevenage The Institution of Engineering and Technology 01.08.2013
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Abstract Economic dispatch (ED) is an optimisation tool that is used to allocate active load demands to the generating units through optimising the fuel generation cost function subject to the different operational constraints. The high non-linearity of the power system imposes mathematical challenges in formulating the generation cost function models, which makes the ED problem hard to solve. This study introduces two ideas to solve issues related to the ED problem. First, a dynamic formulation technique is developed to optimally allocate the change in the total active load demand to the generating units. This technique is shown to be insensitive to the optimality of the initial active load distribution unlike the base point and participation factor method. Moreover, it guarantees an optimal distribution among the generating units due the change in the active load demand. Second, a novel approximation of the non-convex generation cost function is developed to solve non-convex ED problem with the transmission losses. This approximation enables the use of gradient and Newton techniques to solve the non-convex ED problem with valve point loading effect and transmission losses in an analytic approach. This approximation is compared with some heuristic optimisation techniques.
AbstractList Economic dispatch (ED) is an optimisation tool that is used to allocate active load demands to the generating units through optimising the fuel generation cost function subject to the different operational constraints. The high non-linearity of the power system imposes mathematical challenges in formulating the generation cost function models, which makes the ED problem hard to solve. This study introduces two ideas to solve issues related to the ED problem. First, a dynamic formulation technique is developed to optimally allocate the change in the total active load demand to the generating units. This technique is shown to be insensitive to the optimality of the initial active load distribution unlike the base point and participation factor method. Moreover, it guarantees an optimal distribution among the generating units due the change in the active load demand. Second, a novel approximation of the non-convex generation cost function is developed to solve non-convex ED problem with the transmission losses. This approximation enables the use of gradient and Newton techniques to solve the non-convex ED problem with valve point loading effect and transmission losses in an analytic approach. This approximation is compared with some heuristic optimisation techniques.
Economic dispatch (ED) is an optimisation tool that is used to allocate active load demands to the generating units through optimising the fuel generation cost function subject to the different operational constraints. The high non-linearity of the power system imposes mathematical challenges in formulating the generation cost function models, which makes the ED problem hard to solve. This study introduces two ideas to solve issues related to the ED problem. First, a dynamic formulation technique is developed to optimally allocate the change in the total active load demand to the generating units. This technique is shown to be insensitive to the optimality of the initial active load distribution unlike the base point and participation factor method. Moreover, it guarantees an optimal distribution among the generating units due the change in the active load demand. Second, a novel approximation of the non-convex generation cost function is developed to solve non-convex ED problem with the transmission losses. This approximation enables the use of gradient and Newton techniques to solve the non-convex ED problem with valve point loading effect and transmission losses in an analytic approach. This approximation is compared with some heuristic optimisation techniques. [PUBLICATION ABSTRACT]
Author Abouheaf, Mohammed I
Lewis, Frank L
Lee, Wei-Jen
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  organization: 1The University of Texas at Arlington Research Institute, Electrical Engineering, University of Texas at Arlington, 7300 Jack Newell Blvd. S., Fort Worth, Texas, TX 76118, USA
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2013 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology
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Issue 8
Keywords participation factor method
active load distribution optimality
generation cost function models
costing
Newton technique
nonconvex ED problem
power generation economics
optimal distribution
optimisation tool
gradient technique
base point method
gradient methods
Newton method
concave programming
transmission loss
operational constraints
power system nonlinearity
valve point loading effect
power generation dispatch
nonconvex generation cost function
fuel generation cost function optimization
dynamic formulation-approximation methods
active load demand allocation
economic dispatch problems
active load demand
generating units
Dispatching problem
Load distribution
Approximate method
Optimization method
Non linear phenomenon
Optimization
Electrical network
Optimal allocation
Analytical method
Heuristic method
Cost function
Valve
Energy demand
Economic aspect
Economic impact
Non linear effect
Transmission loss
Comparative study
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Snippet Economic dispatch (ED) is an optimisation tool that is used to allocate active load demands to the generating units through optimising the fuel generation cost...
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SubjectTerms active load demand
active load demand allocation
active load distribution optimality
Applied sciences
Approximation
base point method
concave programming
Cost function
costing
Demand
dynamic formulation‐approximation methods
economic dispatch problems
Economics
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
fuel generation cost function optimization
generating units
generation cost function models
gradient methods
gradient technique
Mathematical analysis
Mathematical models
Miscellaneous
Newton method
Newton technique
nonconvex ED problem
nonconvex generation cost function
Nonlinear dynamics
Operation. Load control. Reliability
operational constraints
optimal distribution
optimisation tool
Optimization
participation factor method
power generation dispatch
power generation economics
Power networks and lines
power system nonlinearity
transmission loss
valve point loading effect
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Title Dynamic formulation and approximation methods to solve economic dispatch problems
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