Economic load dispatch for piecewise quadratic cost function using Hopfield neural network
- Pusan National Univ. (Korea, Republic of)
- Pennsylvania State Univ., University Park, PA (United States)
This paper presents a new method to solve the problem of economic power dispatch with piecewise quadratic cost function using the Hopfield neural network. Traditionally one convex cost function for each generator is assumed. However, it is more realistic to represent the cost function as a piecewise quadratic function rather than one convex function. In this study, multiple intersecting cost functions are used for each unit. Through case studies, the authors have shown the possibility of the application of the Hopfield neural network to the ELD problem with general nonconvex cost functions. The proposed approach is much simpler and the results are very close to those of the numerical method.
- OSTI ID:
- 5676698
- Journal Information:
- IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States), Journal Name: IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States) Vol. 8:3; ISSN 0885-8950; ISSN ITPSEG
- Country of Publication:
- United States
- Language:
- English
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