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

Benhamida, Farid; Ziane, Ismail; Souag, S.; Salhi, Y.; Dehiba, Boubakeur

doi:10.1109/icosc.2013.6750926

Cited by 10 publications

(5 citation statements)

References 16 publications

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“…The proposed ED model is specified and solved with GAMS. It is a mathematical specification language specially dedicated for the solution of optimization problems [29]. Large and complex problems can be represented in GAMS in a concise manner and can easily be altered for testing and research purposes [30].…”

Section: Simulation Setup and Solution Methodologymentioning

confidence: 99%

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Blockchain-Based Gas Auctioning Coupled with a Novel Economic Dispatch Formulation for Gas-Deficient Thermal Plants

2022

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Inadequate gas supply is partly responsible for the energy shortfall experienced in some energy-poor nations. Favorable market conditions would boost investment in the gas supply sector; hence, we propose a blockchain-based fair, transparent, and secure gas trading scheme that facilitates peer-to-peer trading of gas. The scheme is developed using an Ethereum-based smart contract that receives offers from gas suppliers and bid(s) from the thermal plant operator. Giving priority to the cheapest offers, the smart contract determines the winning suppliers. This paper also proposes an economic dispatch model for gas-deficient plants. Conventional economic dispatch seeks to satisfy electric load demand whilst minimizing the total gas cost of generating units. Implicit in its formulation is the assumption that gas supply to generating units is sufficient to satisfy available demand. In energy poor nations, this is hardly the case as there is often inadequate gas supply and conventional economic dispatch is of little practical value. The proposed economic dispatch model’s objective function maximizes the quantity of available gas and determines the optimal power output of each generating unit. The mathematical formulation is verified using data from the Egbin thermal station which is the largest thermal station in Nigeria and is solved using the General Algebraic Modeling System (GAMS). Obtained results indicate the viability of the novel approach as it results in a net power gain of 35 MW. On the other hand, the smart contract proved effective in accurately selecting winning suppliers and making payment.

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Section: Simulation Setup and Solution Methodologymentioning

confidence: 99%

“…Large and complex problems can be represented in GAMS in a concise manner and can easily be altered for testing and research purposes [30]. It has been effectively employed by researchers to solve typical economic dispatch problems [29][30][31]. Typically, GAMS formulation follows the basic format in [30].…”

Section: Simulation Setup and Solution Methodologymentioning

confidence: 99%

Blockchain-Based Gas Auctioning Coupled with a Novel Economic Dispatch Formulation for Gas-Deficient Thermal Plants

2022

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“…GAMS is a high-level optimization platform for solving linear, nonlinear, quadratic, and mixed-integer nonlinear optimization problems [62]. It is mainly used to solve complex problems using its different solvers including CONOPT, DICOPT, KNITRO, and CPLEX, to attain accurate results platforms [63], [64].…”

Section: F General Algebraic Modeling Software (Gams)mentioning

confidence: 99%

“…For example, the solver status is 1 (normal completion) means that the model is functioned without error. The model status is 1 (optimal) means a global solution is found [62]- [65].…”

Section: F General Algebraic Modeling Software (Gams)mentioning

confidence: 99%

Robust Energy Management and Economic Analysis of Microgrids Considering Different Battery Characteristics

et al. 2020

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This paper presents the economic analysis and optimal energy management of a grid-connected MG that comprises renewable energy resources and different battery storage technologies with different characteristics such as initial charge, depth of discharge, and the number of charging/discharging cycles to minimize the total operating cost of the system by maximizing the benefits of BSS, minimizing the investment and replacement cost of BSS, and minimizing the operation and maintenance cost of DGs. Several constraints are considered, such as the output power limits of the distributed generators, the limits of power imported from or exported to the grid, load balance, and other sets of battery storage constraints. The general algebraic modeling system (GAMS) is used to solve the deterministic optimization problem. Second, stochastic optimization is used to solve the deterministic problem with market price uncertainty. Third, robust optimization using the information gap decision theory is presented to model the electric load uncertainty. The validity and effectiveness of the proposed solution are explained by comparing the results obtained by GAMS to the results obtained by other optimization techniques presented in the literature.

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“…In case of electrical engineering it is possible to find specialized software for electrical power system simulation such as DIGSILENT [5], [6], PSCAD [7], NEPLAN [8] or SIMULINK [9], among others. In case of optimization packages, commercial software applications are found, i.e., GAMS [10], [11], [12], AMPL [13], LINGO [14], Python or [15] MATLAB packages [16], [17], [18], etc.…”

Section: Introductionmentioning

confidence: 99%

Solving a Classical Optimization ProblemUsing GAMS Optimizer Package: Economic Dispatch ProblemImplementation

Montoya

2017

ing. cienc.

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This paper presents an effectiveness strategy to model and solve nonlinear mathematical optimization problems in electrical engineering using General Algebraic Modeling System (GAMS) for undergraduate students. A classical problem known as economic dispatch has been selected to show the need of using mathematical tools to solve a large scale optimization problem related with engineering. The economic dispatch is a classical optimization problem in operation of thermal electric systems, being the main idea to find an economical operation for thermal generators. This operation is based on a quadratic cost curve with some operating constraints, i.e., power balance and generation capacities. A numerical simulation is implemented using GAMS optimization package in demo version. This research has been developed with the support of 36 students of the course of Regulation and Operation of Electrical Systems (ROES) in the program of Electrical Engineering at Universidad Tecnológica de Pereira (UTP). Universidad EAFIT 39|Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem ImplementationKey words: Computational thinking; economic dispatch problem; mathematical modeling; GAMS optimization package; nonlinear optimization problem.Solución de un problema de optimización clásico usando el paquete optimizador GAMS: implementación del problema de despacho económico ResumenEn este artículo se presenta una estrategia para modelar y resolver problemas no lineales de optimización con estudiantes de pregrado en ingeniería eléctrica empleando el Sistema de Modelado Algebraico General (GAMS). El problema clásico conocido como despacho económico ha sido seleccionado para mostrar la necesidad de usar herramientas matemáticas para resolver problemas de gran tamaño relacionados con ingeniería. El despacho económico es un problema clásico de optimización en operación de sistemas termoeléctricos, cuya idea principal es encontrar la operación más económica para los generadores térmicos. Esta operación está basada en una curva cuadrática de costos con algunas restricciones operativas, como por ejemplo, balance de potencia y capacidades de generación. La simulación numérica es implementada en GAMS usando una versión de prueba. Esta investigación ha sido desarrollada con la ayuda de 36 estudiantes del curso de Regulación y Operación de Sistemas Eléctricos (ROES) del programa

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

Cited by 10 publications

References 16 publications

Blockchain-Based Gas Auctioning Coupled with a Novel Economic Dispatch Formulation for Gas-Deficient Thermal Plants

Blockchain-Based Gas Auctioning Coupled with a Novel Economic Dispatch Formulation for Gas-Deficient Thermal Plants

Robust Energy Management and Economic Analysis of Microgrids Considering Different Battery Characteristics

Solving a Classical Optimization ProblemUsing GAMS Optimizer Package: Economic Dispatch ProblemImplementation

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