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

Benhamida, Farid; Ziane, Ismail; Souag, S.; Graa, Amel; Dehiba, Boubakeur

doi:10.1109/naps.2013.6666838

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…The system variables are now a function of the scaling factor α, i.e., P ij (α), λ k (α) and θ m (α). These variables are approximated by truncated MacLauren series as ( 15)- (17). The initial coefficients for the variables (P ij [0], λ k [0], θ m [0]) are the germ solution.…”

Section: A the Problem Formulationmentioning

confidence: 99%

Economic Dispatch Problem Solution via Holomorphic Embedding Method on IEEE 14-Bus System for Different Loading Scenarios

Ramos,

Freitas,

Zizzo

2024

IEEE Trans. on Ind. Applicat.

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Section: A the Problem Formulationmentioning

confidence: 99%

Economic Dispatch Problem Solution via Holomorphic Embedding Method on IEEE 14-Bus System for Different Loading Scenarios

Ramos,

Freitas,

Zizzo

2024

IEEE Trans. on Ind. Applicat.

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“…A comparison is made between General Algebraic Modelling System (GAMS) and the quadratic Programming is presented [55] and in [56] optimization is carried out through GAMS, initially ELD was solved using PWL and SOS algorithms which were unable to give optimum schedule for power system. An optimization for the dynamic economic load dispatch is done through GAMS, in results GAMS shown the upper hand over the other available approaches [57].…”

Section: Related Workmentioning

confidence: 99%

Economic Dispatch Solution for Generating Units through Optimization

Nazeer¹,

Jamil²,

Mohsin³

et al. 2020

IJEW

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The complex nature of the modern power system is because of the interconnection of the generating units and day by day increased load demand. The main purpose of the power system is to tantalize the load needs and generate reliable and cheap energy i.e. cost of generation should be optimum i.e. operating every generating unit in such a way to optimize the cost. The cost function of every generating unit is different from other generating unit, so load has to be divided among various generating units to obtain optimum generation. The optimization of power system is done by Economic load dispatch (ELD). ELD is of immense importance in power system operation and planning (PSOP). The primary purpose of ELD is to pacify the load needs at lowest cost while satiating all kind of equality and inequality constraints. Power system has highly non-linear input output characteristics because of different generation constraints. In ELD cost function of each and every generating unit is equated as quadratic function. Numerous methods have been devised to figure out ELD problem incorporating conventional methods like Lambda iteration method and Gradient method, and artificial intelligent method like Particle Swarm Optimization, Generic Algorithms etc. In this thesis optimization of generating units is done through General Algebraic Modelling System (GAMS). GAMS is a modelling system used for mathematical programming and optimization on a large scale. It helps to develop a mathematical model similar to their corresponding mathematical expression and gives more accurate results.

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“…The challenges to optimal power flows are reported by Momoh et al [5]. Examples of some methods, which are used to solve the ED problem, include non-linear programming [6,7], sequential quadratic programming (SQP) [8,9], Newton's method [10], swarm intelligence such as particle swarm optimisation [11,12], genetic algorithms [13,14] and linear programming (LP) [15][16][17][18][19][20][21]. Among these methods, LP-based methods are recognised as viable and promising tools in solving the constrained ED problem.…”

Section: N Bmentioning

confidence: 99%