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 in | IET generation, transmission & distribution Vol. 7; no. 8; pp. 866 - 873 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Stevenage
The Institution of Engineering and Technology
01.08.2013
Institution of Engineering and Technology The Institution of Engineering & Technology |
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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. |
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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 |
Author_xml | – sequence: 1 givenname: Mohammed I surname: Abouheaf fullname: Abouheaf, Mohammed I email: abouheaf@uta.edu 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 – sequence: 2 givenname: Wei-Jen surname: Lee fullname: Lee, Wei-Jen organization: 2University of Texas at Arlington, Electrical Engineering, Energy Systems Research Center, UTA Box 19048, Arlington, Texas 76019, USA – sequence: 3 givenname: Frank L surname: Lewis fullname: Lewis, Frank L 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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Cites_doi | 10.1109/TPWRS.2003.814889 10.1016/j.energy.2010.12.021 10.1016/j.eswa.2009.12.084 10.1049/iet‐gtd:20080469 10.1109/59.982200 10.1109/TPAS.1984.318445 10.1016/j.asoc.2008.11.012 10.1109/TPWRS.2006.873410 10.1109/59.32474 10.1109/60.222703 10.1109/59.485992 10.1109/TPWRS.2005.857924 10.1016/S0142‐0615(01)00007‐2 10.1109/59.260861 10.1016/S0378‐7796(00)00097‐3 |
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Copyright | The Institution of Engineering and Technology 2013 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology 2014 INIST-CNRS Copyright The Institution of Engineering & Technology 2013 |
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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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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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