Multiple distributed generation units allocation in distribution network for loss reduction based on a combination of analytical and genetic algorithm methods
“…The GA is the most popular algorithm with an excellent rate of convergence in compared to other optimization algorithms such as metaheuristic algorithms and is usually implemented in protective relaying to solve nonlinear problem . The initiation is selected randomly, maximum number of generations is fixed at 1500, population size is equal to 500, mutation is 0.2, and crossover is 0.8.…”
Section: Proposed Method: New Quadrilateral Zone Settingmentioning
Numerical distance relays are used in modern power system to boost the performance and reduce the computational burden of relay. Quadrilateral zone of distance relay is more suitable and capable of boundary modification on protection scheme. In this paper, an adaptive distance relay is introduced to tackle the maloperation problems encountered in non-uniform structure of combined transmission system, in which the zone 1 of distance relay is modified. Two boundaries are modified with fifth degree of polynomial equation for quadrilateral zone characteristic. Appropriate objective functions are defined to minimize the increment in relay zone, maloperation rate, and boundary accuracy error. The multiobjective optimization problem is solved by using genetic algorithm. According to the extensive computational analysis results performed by MATLAB, the high accuracy of the proposed adaptive relay was achieved. Furthermore, the proposed method has the ability to encompass all faults and tackles the influence of various power system conditions by finding the optimized equation coefficients for the nonuniform structures.
“…The GA is the most popular algorithm with an excellent rate of convergence in compared to other optimization algorithms such as metaheuristic algorithms and is usually implemented in protective relaying to solve nonlinear problem . The initiation is selected randomly, maximum number of generations is fixed at 1500, population size is equal to 500, mutation is 0.2, and crossover is 0.8.…”
Section: Proposed Method: New Quadrilateral Zone Settingmentioning
Numerical distance relays are used in modern power system to boost the performance and reduce the computational burden of relay. Quadrilateral zone of distance relay is more suitable and capable of boundary modification on protection scheme. In this paper, an adaptive distance relay is introduced to tackle the maloperation problems encountered in non-uniform structure of combined transmission system, in which the zone 1 of distance relay is modified. Two boundaries are modified with fifth degree of polynomial equation for quadrilateral zone characteristic. Appropriate objective functions are defined to minimize the increment in relay zone, maloperation rate, and boundary accuracy error. The multiobjective optimization problem is solved by using genetic algorithm. According to the extensive computational analysis results performed by MATLAB, the high accuracy of the proposed adaptive relay was achieved. Furthermore, the proposed method has the ability to encompass all faults and tackles the influence of various power system conditions by finding the optimized equation coefficients for the nonuniform structures.
“…• Métodos de optimización: los nuevos desarrollos apuntan a la creación de hí-bridos entre las diferentes técnicas aquí tratadas, de manera que se permitan resolver el problema de ubicación (binario) y dimensionamiento (continuo), con el mínimo esfuerzo computacional (memoria y tiempo) [70].…”
La generación distribuida (GD) se presenta como un apoyo para suplir la demanda del sistema de forma localizada, lo que permite además como alternativas de generación el uso de fuentes de energía renovables a pequeña escala. Como aporte principal, este artículo presenta las consideraciones que se deben tener en cuenta al momento de analizar, modelar y solucionar el problema de ubicación y dimensionamiento de GD en la red eléctrica de distribución. Inicialmente, se enuncian los aspectos técnicos de la red, el modelado de las cargas e impactos de la GD; seguido de la formulación del modelo matemático del problema, principales técnicas de solución y metodologías aplicadas en la literatura; finalmente, se muestran las investigaciones futuras en este campo de estudio. Todo lo anterior en busca de mejorar las condiciones operativas de la red. Dentro de la revisión de los trabajos presentados por los diferentes autores, se encontró que una gran parte de los estudios se enfocan en los aspectos técnicos, sin tener en cuenta los costos asociados a la integración de GD, ni los incentivos económicos a los que puede ser susceptibles este tipo de proyectos, que son de vital importancia para evaluar la viabilidad de la propuesta de integración.
“…A hybrid algorithm known as shuffled bat algorithm has been proposed in Yammani et al for placement and sizing problem with loading the line beyond 100 % . A combination of analytical and genetic algorithm has been used for multiple DG allocation to minimize the system loss. A DG selection index taking real power loss (RPL) and voltage stability condition to find out the site and a DG sizing formula used to determine the size have been addressed in Kayal et al A new sensitivity index has been defined in Gampa and Das based on voltage sensitivity and apparent load power, for siting and sizing of DGs considering average hourly load data.…”
SummaryThis paper presents a multiobjective method for obtaining optimal size and site of distributed generation (DG), to reduce loss, and DG investment cost while improving the voltage profile in primary distribution networks. To solve the multiobjective problem, a classical technique known as global criterion method is implemented to form a novel objective function equation, which is custom-built for a distribution system. The application of the global criterion method is explained using a DG that is capable of injecting real power, ie, unity power factor DG, and then extended to DGs capable of injecting reactive power. The method is validated for 2 distribution systems. Results show that the proposed method satisfies the individual objectives simultaneously. The proposed method is also compared with existing methods to exhibit its effectiveness.
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