NDLI: Enhanced Merit Order and Augmented Lagrange Hopfield Network for Unit Commitment

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Enhanced Merit Order and Augmented Lagrange Hopfield Network for Unit Commitment

Content Provider	Semantic Scholar
Author	Dieu, Vo Ngoc Ongsakul, Weerakorn
Copyright Year	2005
Abstract	This paper presents an enhanced merit or der (EMO) and augmented Lagrange Hopfield network (ALHN) for unit commitment (UC). The EMO method is a merit order based heuristic search for unit schedul ing and ALHN is a continuous Hopfield network based on augmented Lagrange relaxation for economic dispatch pr oblem. First, generating units are sorted in ascendin g average production cost and committed to fulfill load demand and spinning reserve requirements neglecting minimu m up and down time constraints. Then, a heuristic sea rch based algorithm is applied to satisfy minimum up an d down time constraints, and modify start up cost from cold to hot if necessary. Finally, the ALHN is used to s olve economic dispatch (ED). The proposed method is test d on systems ranging from 10 to 100 generating units and compared to augmented Hopfield network (AHN), conventional Lagrangian relaxation (LR), genetic algorithm (GA), evolutionary programming (EP), Lagrangian relaxation and genetic algorithm (LRGA), memetic algorithm (MA), Lagrangian relaxation and memetic algorithm (LRMA), genetic algorithm based on unit characteristic classification (GAUC), genetic algorithm base d on unit characteristic classification and unit integration technique (GAUCUI), and extended priority list (EPL). The total production costs from the proposed method are less expensive and the computational times are vastly fa ster than the others, especially for the large number of generating units. For large-scale implementation, it is al so tested on systems up to 1000 generating units with time ho rizon up to 168 hours. Test results indicate that the pro posed method is very attractive and favorable due to subs tantial production costs savings and fast computational times.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://montefiore.ulg.ac.be/services/stochastic/pscc05/papers/fp414.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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