Simultaneous solution of unit commitment and dispatch problems using artificial neural networks

Sendaula, M.; Biswas, Saroj; Eltom, Ahmed; Parten, C.; Kazibwe, W.E.

doi:10.1016/0142-0615(93)90035-l

Cited by 16 publications

(6 citation statements)

References 6 publications

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“…With the UC problem, ELD becomes a subproblem. Sendaula et al [10] developed a model that attempts to solve the UC problem and ELD problem simultaneously. UC is also used to determine current electrical resources to fulfil the load demand and allocate margin of operating reserve over a considerable amount of time [11].…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Unit Commitment with Market Pool in a Peaking Power Generation Firm in the Philippines for a Cost Reduction Case Study

Santillan

Senen

Wamilda

et al. 2016

Journal of Engineering

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This paper attempts to provide an optimum loading schedule of power generating units with the least cost by solving a unit commitment (UC) problem and to present good estimates of cost differences when UC problem is not applied. UC is a fundamental optimization problem of power generation systems which determines the optimum schedule of generating units which minimizes generation costs. However, for small power generation firms which are situated in developing countries, UC-based problems are poorly understood if not implemented and the scheduling of generating units is based on some methodologies which may provide results that are not optimal. Thus, a case study in a small power generation firm in central Philippines is carried out to elucidate these objectives. The case requires a solution of the mixed-integer nonlinear programming (MINLP) problem. Results show that the proposed UC-based problem yields optimal costs and the cost disparity from the current scheduling scheme is approximately at 27% which may be considered as potential cost savings. This shows that UC-based problem provides a reliable platform in achieving minimal generation costs. These results are significant to decision-makers particularly in small power generation firms and to engineering practitioners in the Philippines and in some developing countries as these provide an overview of the disparity of cost figures of not implementing UC.

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Section: Literature Reviewmentioning

confidence: 99%

Application of Unit Commitment with Market Pool in a Peaking Power Generation Firm in the Philippines for a Cost Reduction Case Study

Santillan

Senen

Wamilda

et al. 2016

Journal of Engineering

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“…Barisal and Prusty (2015) described ELD as a high dimensional, non-convex, non-smooth and nonlinear problem that requires a highly efficient optimisation method in order to satisfy all of its requirements. As a consequence, several approaches such as meta-heuristics methods that possess high computing power and efficient computational time have emerged in current literature (Sendaula and Biswas, 1993;Basu, 2014;Subramanian et al, 2015). Due to its importance, it has brought attention to domain researchers and practitioners and has generated a vast literature over a span of century of research.…”

Section: Basic Economic Dispatch Modelmentioning

confidence: 99%

“…With the UC problem, ELD becomes a sub problem to be solved. Sendaula and Biswas (1993) developed model that attempt to solve the UC problem and ELD problem simultaneously. UC is deciding out of the current electrical resources to fulfil the load demand and allocate margin of operating reserve over a considerable amount of time (Saravanan et al, 2013).…”

Section: Unit Commitmentmentioning

confidence: 99%

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Policy-based unit commitment problem: a case in a peaking power generation plant

Jr.

Santillan

Senen

et al. 2017

IJADS

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Unit commitment (UC) along with economic load dispatch (ELD) is an integral optimisation problem in the power generation industry. In this paper, policy-based algorithms are developed to address dispatch problems under different system configurations with the benefit of providing flexibility in addressing several desired policies of decision-makers. A case study is conducted in a diesel-fired, power plant in central Philippines to elucidate the proposed approach. Three policies were created to effectively address the optimisation problem: 1) classic UC model; 2) buying and selling strategy; 3) continuous loading strategy with various issues being considered. Results show that the strategies exhibit a significant decrease in total costs and ease of implementation with respect to the current production schedule of the case firm. Furthermore, the second policy provides the least generated cost which implies that generating firms must consider the option to sell power when market prices reach desired levels.

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“…Sendaula and S.K. Biswas applied a combination of Hopfield-Tank type and Kennedy, Chua and Lin type ANNs to solve the unit commitment problem [36,37]. The unique feature of the proposed network was to solve the nonlinear programming problem and the combinatorial optimization problem simultaneously by one network.…”

Section: Application To Power System Optimizationmentioning

confidence: 99%

Application of artificial neural networks to optimization problems in electrical power operation

Kumar

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Simultaneous solution of unit commitment and dispatch problems using artificial neural networks

Cited by 16 publications

References 6 publications

Application of Unit Commitment with Market Pool in a Peaking Power Generation Firm in the Philippines for a Cost Reduction Case Study

Application of Unit Commitment with Market Pool in a Peaking Power Generation Firm in the Philippines for a Cost Reduction Case Study

Policy-based unit commitment problem: a case in a peaking power generation plant

Application of artificial neural networks to optimization problems in electrical power operation

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