Multi-thread security constraint economic dispatch with exact loss formulation

Zadeh, Alimorad Khajeh; Nor, Khalil Md; Zeynal, Hossein

doi:10.1109/pecon.2010.5697700

Cited by 9 publications

(12 citation statements)

References 9 publications

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“…In specialized literature there are multiple formulations for classical economic dispatch problem such as secure economic dispatch [35], economic dispatch with exact loss formulation [36], economic dispatch considering greenhouse emission [37] and economic dispatch using optimal power flow representation [38], among others. Nevertheless, to understand the essential analysis for solving nonlinear problems using GAMS optimization ing.cienc., vol.…”

Section: Mathematical Modeling Of Classical Economic Dispatch Problemmentioning

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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Section: Mathematical Modeling Of Classical Economic Dispatch Problemmentioning

confidence: 99%

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

Montoya

2017

ing. cienc.

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“…The majority of these schemes are based on linear programming or dynamic programming and try to minimize peak load or electricity production cost over a certain time period. Several papers have studied the problem of Economic Dispatch that aims at minimizing the total cost of energy generation by either sharing the generation between generators or shifting generation from more expensive to less expensive sources [26]- [28]. Other studies suggest autonomous and distributed demand side management using two-way communication between consumer loads and the network [29].…”

Section: Components Of Smart Gridmentioning

confidence: 99%

“…There are several work in the literature on Economic Dispatch that aim at minimizing the total cost of generation by either sharing the generation between generators or shifting generation from the more expensive to less expensive generators [32]- [34].…”

Section: Overview and Contribution Of The Thesismentioning

confidence: 99%

Energy production cost and PAR minimization in multi-source power networks

Ghebremariam

Beygi

Bahrami

et al. 2012

2012 IEEE PES Innovative Smart Grid Technologies (ISGT)

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“…However, the integration of EVs into the daily operation of power grid imposes many challenges. Thus the system operators must be equipped with pugnacious decision making tools such as unit commitment, economic dispatch, optimal VAr dispatch and load flow, that can tackle upcoming and deleterious effect of an incongruous integration of EVs into the grid [10,11]. Therefore, it is crucial for system operators to take an action on when and where the EVs to be judiciously connected or disconnected.…”

Section: Introductionmentioning

confidence: 99%

“…The study on the impact of large EV fleets on the power system dynamics, operation, and control has been recently paid a great deal of attentions by researchers [10][11][12]. However, excessive money saving and environmental stewardship options procured by EV integration, has chiefly motivated many utilities around the globe to adopt EVs in large scale.…”

Section: Introductionmentioning

confidence: 99%

Impact of Electric Vehicle's integration into the economic VAr dispatch algorithm

Zeynal

Jiazhen

Azzopardi

et al. 2014

2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)

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High penetration of Electric Vehicles (EV) into power grids can enforce major challenges on efficient operation of the system. The solution process of Optimal Reactive Power Dispatch (VAr) which allocates the generator outputs can be either exacerbated or improved.The conventional VAr algorithm is thus reformulated, encompassing EV's operational constraints. As a result, VAr-EV optimization algorithm builds up that minimizes total dispatch costs while taking into account a plethora of system-wise, unit-wise and spatial constraints for a daily operation. Simulation results exhibited that the proposed VAr-EV effectively improves the total dispatch costs and an efficient use of generation sources. However, it can be done by propitious shifts in generation plan from peak to off-peak hours as well as the EV dual operational mode (charging/discharging) advantages. Further, the obtained results represents that employing Newton Raphson (NR) load flow calculation instead of approximated loss techniques can procure an accurate and precise solution, which can also offer a close observation on system status following small breezes in operation. Based on the results, the integration of the EVs into the grid can immensely enhance the socio and techno-economic aspects of the system operation.

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Multi-thread security constraint economic dispatch with exact loss formulation

Cited by 9 publications

References 9 publications

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

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

Energy production cost and PAR minimization in multi-source power networks

Impact of Electric Vehicle's integration into the economic VAr dispatch algorithm

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