Generation allocation problem using a Hopfield-bisection approach including transmission losses

Benhamida, Farid; Bendaoud, Adelber; Medles, Karim

doi:10.1016/j.ijepes.2011.01.030

Cited by 4 publications

(6 citation statements)

References 9 publications

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“…To solve the ED problem using the Hopfield method, the neural network energy function E including both power mismatch, P m and total fuel cost F can be stated using penalty function method as a quadratic function as follows [12], [14], [16], [18]. ' '…”

Section: A Mapping Of Emission Ded Into the Hopfield Modelmentioning

confidence: 99%

“…The proposed algorithm is a hybrid between the enhanced HNN and the dichotomy method [12]. The enhanced HNN is used to obtain a schedule of generation satisfying the given load profile without considering the transmission line constraint.…”

Section: A Mapping Of Emission Ded Into the Hopfield Modelmentioning

confidence: 99%

“…In other words, HNN solves the static part of the ED problem. To enforce this constraint into the solution, a dichotomy solution method as described in [12] is done to obtain a ED solution including transmission losses. The transmission losses are expressed as a quadratic function of the generation level of each generator as follows…”

Section: A Mapping Of Emission Ded Into the Hopfield Modelmentioning

confidence: 99%

“…2. Pick the power demand D. Apply the algorithm based on HNN model of [12] to determine the optimal generation for all units without considering transmission losses.…”

Section: Computational Procedures Of Hnn For Ceedmentioning

confidence: 99%

See 3 more Smart Citations

A fast solver for combined emission and generation allocation using a Hopfield neural network

Benhamida¹,

Rachid²,

Souag³

et al. 2012

2012 International Symposium on Innovations in Intelligent Systems and Applications

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The combined economic/emission dispatch (CEED) problem is obtained by considering both the economy and emission objectives with required constraints. Many optimization techniques are slow for such complex optimization tasks and are not suitable for on-line use. This paper presents an optimization algorithm for solving constrained CEED, through the application of a flexible Hopfield neural network (HNN). The constrained CEED must satisfy the system load demand and practical operation constraints of generators. The feasibility of the proposed HNN using to solve CEED is demonstrated using a 3-unit test system and it is compared with the other methods in terms of solution quality and computation efficiency. The simulation results showed that the proposed HNN method was indeed capable of obtaining higher quality solutions efficiently in CEED problems with a much shorter computation time compared to other methods.

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Section: A Mapping Of Emission Ded Into the Hopfield Modelmentioning

confidence: 99%

Section: A Mapping Of Emission Ded Into the Hopfield Modelmentioning

confidence: 99%

Section: A Mapping Of Emission Ded Into the Hopfield Modelmentioning

confidence: 99%

“…2. Pick the power demand D. Apply the algorithm based on HNN model of [12] to determine the optimal generation for all units without considering transmission losses.…”

Section: Computational Procedures Of Hnn For Ceedmentioning

confidence: 99%

See 2 more Smart Citations

A fast solver for combined emission and generation allocation using a Hopfield neural network

Benhamida¹,

Rachid²,

Souag³

et al. 2012

2012 International Symposium on Innovations in Intelligent Systems and Applications

Self Cite

View full text Add to dashboard Cite

show abstract

“…Due to the use of the sigmoid function, the Hopfield model suffers from large computational time and curve saturation. To avoid such problem problems, a linear model is also used [5].…”

Section: Introductionmentioning

confidence: 99%

Solving dynamic economic load dispatch with ramp rate limit using quadratic programming

Benhamida

Ziane

Souag

et al. 2013

2013 North American Power Symposium (NAPS)

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This paper presents a comparative analysis study of an efficient and reliable quadratic programming (QP) with and without ramp rate limit constraints to solve dynamic economic load dispatch (DELD) problem without considering transmission losses in a power system. The proposed QP method takes care of different unit and system constraints to find optimal solution. To validate the effectiveness of the proposed QP solution, simulations have been performed using 18-unit system. Results obtained with the QP method have been compared with other existing relevant approaches available in literatures. Experimental results show a proficiency of the QP method over other existing techniques in terms of robustness and its optimal search.

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A quadratic programming optimization for dynamic economic load dispatch: Comparison with GAMS

Benhamida

Ziane

Souag

et al. 2013

3rd International Conference on Systems and Control

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Generation allocation problem using a Hopfield-bisection approach including transmission losses

Cited by 4 publications

References 9 publications

A fast solver for combined emission and generation allocation using a Hopfield neural network

A fast solver for combined emission and generation allocation using a Hopfield neural network

Solving dynamic economic load dispatch with ramp rate limit using quadratic programming

A quadratic programming optimization for dynamic economic load dispatch: Comparison with GAMS

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