A review on distributed generation planning

Singh, Bindeshwar; Sharma, Janmejay

doi:10.1016/j.rser.2017.03.034

Cited by 165 publications

(79 citation statements)

References 147 publications

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“…As a conservative approach, this ratio may be taken as equal to 1 in order to have a capacity that may not cause overvoltage issues in the system. Equation (13) can be rewritten in light of the above-mentioned assumptions.…”

Section: System Modelling and Methodologymentioning

confidence: 99%

“…The losses that occur during the transmission of the energy generated by large central power plants to the consumption areas can be reduced by generation at the distribution level where the consumption mainly takes place [7]. Besides, in the face of rising energy demands, the capacity of transmission In the literature, numerous studies can be found on DG planning [13][14][15][16]. These studies differ from each other in terms of their scope, the approach adopted and the methodology used in DG planning.…”

Section: Motivation and Backgroundmentioning

confidence: 99%

“…A comprehensive taxonomy has been given in [13]. Studies on the hosting capacity approach have been mostly performed by using different methodologies, such as analytical, artificial intelligence computational or optimization methodologies.…”

Section: Motivation and Backgroundmentioning

confidence: 99%

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Maximum Permissible Integration Capacity of Renewable DG Units Based on System Loads

et al. 2018

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Abstract:Increasing demand for electricity, as well as rising environmental and economic concerns have resulted in renewable energy sources being a center of attraction. Integration of these renewable energy resources into power systems is usually achieved through distributed generation (DG) techniques, and the number of such applications increases daily. As conventional power systems do not have an infrastructure that is compatible with these energy sources and generation systems, such integration applications may cause various problems in power systems. Therefore, planning is an essential part of DG integration, especially for power systems with intermittent renewable energy sources with the objective of minimizing problems and maximizing benefits. In this study, a mathematical model is proposed to calculate the maximum permissible DG integration capacity without causing overvoltage problems in the power systems. In the proposed mathematical model, both the minimum loading condition and maximum generation condition are taken into consideration. In order to prove the effectiveness and the consistency of the proposed mathematical model, it is applied to a test system with different case studies, and the results are compared with the results obtained from other models in the literature.

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Section: System Modelling and Methodologymentioning

confidence: 99%

Section: Motivation and Backgroundmentioning

confidence: 99%

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Maximum Permissible Integration Capacity of Renewable DG Units Based on System Loads

et al. 2018

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“…The integration of distributed generation (DG) and the application of intelligent power consumption technologies affects the utilization rate of distribution network equipment [50][51][52].The application of V2G technology can effectively reduce the impact of distributed generations on distribution networks and improve the stability of the power system. V2G technology makes the participation in the power generation of large-scale wind, solar and other new energy sources possible.…”

Section: The Influence On the Utilization Rate Of Distribution Networmentioning

confidence: 99%

A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment

He¹,

Chen²,

Yang

et al. 2018

Prot Control Mod Power Syst

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The economy of distribution networks largely depends on the utilization rate of distribution network equipment. Most of the emerging intelligent power consumption technologies have a positive effect on equipment utilization and their use can save investment of distribution networks. In this paper, the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment is reviewed. The evaluation methods and indexes are assessed first and then intelligent power consumption equipment with energy storage function, vehicle-to-grid (V2G) technology and time-of-use (TOU) tariff are reviewed respectively. It is concluded that these intelligent power consumption technologies and measures have great potential to improve utilization rate of distribution network equipment because of their effective improvement to power load. Meanwhile, recommendations on how to utilize these intelligent power consumption technologies to improve utilization rate of distribution network equipment are proposed.

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“…Our purpose is to provide the interested reader with concise, yet comprehensive and meaningful information about these recent EPDM literature reviews. Several more recent literature reviews [3,8,122,141,153,161,162] have been left out of the scope of this paper, since their main focus was on management aspects exclusively.…”

Section: An Overview Of Reviews On Epdmmentioning

confidence: 99%

Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

Sellak¹,

Ouhbi²,

Frikh

et al. 2017

Renewable and Sustainable Energy Reviews

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Achieving sustainable energy planning and development involves complex decision-making processes. The energy planning decision-making (EPDM) field relies on a plethora of decision analysis methods that offered many solutions to process a variety of energy management and strategic decision-making problems. However, current EPDM solutions are unable to overcome the increasing complexity of strategic energy planning situations involving a large number of stakeholders in uncertain, dynamic, and distributed environments. This raises significant new challenges for researchers in both decision sciences and renewable and sustainable energy planning. On the basis of a representative assortment of peer-reviewed related literature selected by querying multiple electronic databases and indexed in Scopus and Web of Science databases domain journals over the last 12 years, this paper exhaustively highlights and discusses limitations of existing strategic EPDM solutions. The analysis is based on a classification specially developed by holistically harmonizing important domain concepts to categorize the considered representative sample of the field of interest. Additionally, this paper integrates results and conclusions from some recent and most cited literature reviews to (i) formulate essential evidence as well as practical and conclusive literature's supportalongside with the formulated representative sample -to this paper's subsequent insights and statements, and (ii) guarantee that no relevant articles have been excluded. A total of 78 related works is gathered and analyzed to provide a general view and discussion on major complexities found in classical/traditional strategic EPDM solutions and challenges for next-generation EPDM solutions. Moreover, a comparative analysis of the two solutions and a set of "quality indexes" of a next-generation EPDM solution were identified and some proposals were made to improve future applicative research. As an original result coming from the "quality indexes" identified through the review process, an intelligent expert-based framework for next-generation EPDM solutions is developed for enhanced renewable and sustainable energy planning.

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A review on distributed generation planning

Cited by 165 publications

References 147 publications

Maximum Permissible Integration Capacity of Renewable DG Units Based on System Loads

Maximum Permissible Integration Capacity of Renewable DG Units Based on System Loads

A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment

Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

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