scholarly journals Herramienta de simulación para el análisis de flujo óptimo clásico utilizando multiplicadores de Lagrange

Author(s):  
Diego Anzola ◽  
Julio Castro ◽  
Diego Giral

El análisis del flujo óptimo es un problema complejo y desafiante por sus características no lineales. La inclusión de restricciones de potencia y los modelos de las líneas de transmisión hacen complejo determinar el respectivo despacho. Los multiplicadores de Lagrange son un método de optimización clásico que permite solucionar problemas de despacho económico de múltiples variables sujetas con diversas restricciones. Este articulo presenta el desarrollo de una herramienta de simulación denominada SOPF (Software Optimal Power Flow), desarrollada en Guide-Matlab y que permite analizar el problema de flujo óptimo clásico de un sistema de potencia con pérdidas y con restricciones de potencia activa, el simulador desarrollado es un herramienta académica de apoyo para los estudiantes, profesores y personas interesadas en la aplicación de algoritmos de optimización para la operación económica de sistemas eléctricos de potencia. Como métricas, el simulador determina el despacho de la potencia activa de cada generador, los costos de generación de la potencia despachada, el aporte de cada máquina, los costos incrementales y las pérdidas de acuerdo al balance de potencia. Finalmente, los resultados se presentan a través de dos casos de estudio: flujo óptimo clásico con pérdidas y sin restricciones de potencia activa y flujo óptimo clásico con pérdidas y con restricciones de potencia activa. Para ambos casos, se obtienen errores inferiores al 1 %.

2012 ◽  
Vol 3 (2) ◽  
pp. 167-169
Author(s):  
F.M.PATEL F.M.PATEL ◽  
◽  
N. B. PANCHAL N. B. PANCHAL

2020 ◽  
Vol 12 (12) ◽  
pp. 31-43
Author(s):  
Tatiana A. VASKOVSKAYA ◽  
◽  
Boris A. KLUS ◽  

The development of energy storage systems allows us to consider their usage for load profile leveling during operational planning on electricity markets. The paper proposes and analyses an application of an energy storage model to the electricity market in Russia with the focus on the day ahead market. We consider bidding, energy storage constraints for an optimal power flow problem, and locational marginal pricing. We show that the largest effect for the market and for the energy storage system would be gained by integration of the energy storage model into the market’s optimization models. The proposed theory has been tested on the optimal power flow model of the day ahead market in Russia of 10000-node Unified Energy System. It is shown that energy storage systems are in demand with a wide range of efficiencies and cycle costs.


2016 ◽  
Vol 3 (4) ◽  
pp. 1-11
Author(s):  
M. Lakshmikantha Reddy ◽  
◽  
M. Ramprasad Reddy ◽  
V.C. Veera Reddy ◽  
◽  
...  

2018 ◽  
Vol 24 (3) ◽  
pp. 84
Author(s):  
Hassan Abdullah Kubba ◽  
Mounir Thamer Esmieel

Nowadays, the power plant is changing the power industry from a centralized and vertically integrated form into regional, competitive and functionally separate units. This is done with the future aims of increasing efficiency by better management and better employment of existing equipment and lower price of electricity to all types of customers while retaining a reliable system. This research is aimed to solve the optimal power flow (OPF) problem. The OPF is used to minimize the total generations fuel cost function. Optimal power flow may be single objective or multi objective function. In this thesis, an attempt is made to minimize the objective function with keeping the voltages magnitudes of all load buses, real output power of each generator bus and reactive power of each generator bus within their limits. The proposed method in this thesis is the Flexible Continuous Genetic Algorithm or in other words the Flexible Real-Coded Genetic Algorithm (RCGA) using the efficient GA's operators such as Rank Assignment (Weighted) Roulette Wheel Selection, Blending Method Recombination operator and Mutation Operator as well as Multi-Objective Minimization technique (MOM). This method has been tested and checked on the IEEE 30 buses test system and implemented on the 35-bus Super Iraqi National Grid (SING) system (400 KV). The results of OPF problem using IEEE 30 buses typical system has been compared with other researches.     


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