Optimal sizing and placement of distributed generation in a network system

Ghosh, Sudipta; Ghoshal, Sakti Prasad; Ghosh, Sandip

doi:10.1016/j.ijepes.2010.01.029

Cited by 327 publications

(130 citation statements)

References 16 publications

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“…DG could reduce environmental emissions, and a large scale DG embedded in a distribution system is beneficial to the operation of the power system [21][22][23][24][25]. Under the selected objectives, a SMG could be formulated, and the progress of OSA for the SMG can be described as in Table 6.…”

Section: The Osa Of Dg Optimization Planningmentioning

confidence: 99%

Game Optimization Theory and Application in Distribution System Expansion Planning, Including Distributed Generation

Wang

et al. 2013

Energies

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Based on Game Theory and Multi-objective optimization problems (MOP), Game Optimization Theory (GOT) is discussed in this paper. Optimization Stability Analysis (OSA), Distance Entropy Multi-Objective Particle Swarm Optimization (DEMPSO) and Fuzzy Multi-weights Decision-making Method (FMW) are proposed as well. Game Optimization Theory, which is a comprehensive system, could not only handle multi-objective optimization problems effectively, but also could offset the disadvantages of traditional optimization theories, such as lack of framework and the insufficient consideration of relevant elements. In this paper GOT is used for the first time in solving the distribution systems planning (DSP) issue by implementing distributed generation. The proposed model integrates costs, losses, and voltage index to achieve optimal size and site of distributed generation. The model allows minimizing total system costs, system power losses and maximizing voltage improvement. A detailed DSP example is used for verifying the effectiveness and reasonableness of GOT in this context.

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Section: The Osa Of Dg Optimization Planningmentioning

confidence: 99%

Game Optimization Theory and Application in Distribution System Expansion Planning, Including Distributed Generation

Wang

et al. 2013

Energies

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“…El uso de una metodología basada en téc-nicas de optimización debe ser capaz de analizar la influencia o el impacto de la GD sobre las características del SD, que puede ser muy útil en el proceso de planeación y operación de la red [30], [31]. Para encontrar la solución del problema aquí planteado, se deben modelar matemáticamente las condiciones operativas que se desean mejorar y el conjunto de restricciones atadas a ellas, para luego implementar la técnica de optimización seleccionada.…”

Section: Ubicación Y Dimensionamiento óPtimo De Generación Distribuidaunclassified

Ubicación y dimensionamiento de generación distribuida: Una revisión

Grisales

Cuestas

Jaramillo

2017

Cien.Ing.Neogranadina

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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.

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“…An analytical approach put forward by A Naresh to allocate DG for minimizing the total power losses in primary distribution network [4], DG is placed one by one in the network to obtain minimum power loss of the system. Authors in [5] considered a simple conventional iterative search technique along with NR (Newton Raphson) method of load flow study is implemented. But the analytical approach is not suitable for the large scale network for its large amount of calculation.…”

Section: Introductionmentioning

confidence: 99%

Optimal placement and sizing of wind / solar based DG sources in distribution system

Guan

Guo

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract.Proper placement and sizing of Distributed Generation (DG) in distribution system can obtain maximum potential benefits .This paper proposes quantum particle swarm algorithm (QPSO) based wind turbine generation unit (WTGU) and photovoltaic (PV) array placement and sizing approach for real power loss reduction and voltage stability improvement of distribution system. Performance modeling of wind and solar generation system are described and classified into PQ\PQ (V)\PI type models in power flow. Considering the WTGU and PV based DGs in distribution system is geographical restrictive, the optimal area and DG capacity limits of each bus in the setting area need to be set before optimization, the area optimization method is proposed . The method has been tested on IEEE 33-bus radial distribution systems to demonstrate the performance and effectiveness of the proposed method. IntroductionDistributed generation (DG) in power system networks has rapidly increased as the demand of power system is growing exponentially. DG is small-scale power generation and usually located in distribution network [1]. DG units are mainly energized by wind, solar and fuel cell and have many advantages over centralized power generation. The optimum DG placement and sizing at planning stage of distribution system is necessary to achieve the reduction of power system losses and improved voltage profile [2].However, installing DG units at non-optimal place may get an opposite effect to what is desired. Selecting the best places for installing DG units and their preferable sizes in large distribution systems is a complex combinatorial optimization problem.The optimal placement and sizing of DG in distribution networks has been continuously studied in order to achieve the maximum benefits. J.O. Kim [3] presented the improved Hereford Ranch algorithm to solve the DG allocation problem and getting significant effect. An analytical approach put forward by A Naresh to allocate DG for minimizing the total power losses in primary distribution network [4], DG is placed one by one in the network to obtain minimum power loss of the system. Authors in [5] considered a simple conventional iterative search technique along with NR (Newton Raphson) method of load flow study is implemented. But the analytical approach is not suitable for the large scale network for its large amount of calculation. GA [6] and PSO [7] algorithm, as the representative of the artificial intelligence algorithm, are applied to optimal the place and size of DG. Ref. [8] combined discrete

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Optimal sizing and placement of distributed generation in a network system

Cited by 327 publications

References 16 publications

Game Optimization Theory and Application in Distribution System Expansion Planning, Including Distributed Generation

Game Optimization Theory and Application in Distribution System Expansion Planning, Including Distributed Generation

Ubicación y dimensionamiento de generación distribuida: Una revisión

Optimal placement and sizing of wind / solar based DG sources in distribution system

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