Distributed generation planning from power system performances viewpoints: A taxonomical survey

Singh, Bindeshwar; Pal, Charitra; Mukherjee, V.; Tiwari, Prabhakar; Yadav, Manish Kumar

doi:10.1016/j.rser.2016.11.143

Cited by 16 publications

(8 citation statements)

References 269 publications

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“…A taxonomical survey of distributed generation panning has also been presented. 33 Furthermore, a study 6 focused on the modelling, reactive power planning, solution approaches, electricity market, reliability, DSM, uncertainties, line congestion, and distributed generation, as it relates to GEP and TEP. However, their study focused more on the TEP problem.…”

Section: Existing Reviewsmentioning

confidence: 99%

“…Kagiannas et al focused on a comprehensive review of generation planning methods as it apply to competitive electric power generation market. A taxonomical survey of distributed generation panning has also been presented . Furthermore, a study focused on the modelling, reactive power planning, solution approaches, electricity market, reliability, DSM, uncertainties, line congestion, and distributed generation, as it relates to GEP and TEP.…”

Section: Introductionmentioning

confidence: 99%

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A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

2019

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Summary Generation expansion planning (GEP) is a power plant mix problem that identifies what, where, when, and how new generating facilities should be installed and when old units be retired over a specific planning horizon. GEP ensures that the quantity of electricity generated matches the electricity demand throughout the planning horizon. This kind of planning is of importance because most production and service delivery is dependent on availability of electricity. Over the years, the traditional GEP approaches have evolved to produce more realistic models and new solution algorithms. For example, with the agitation for green environment, the inclusion of renewable energy plants and energy storage in the traditional GEP model is gradually gaining attention. In this regards, a handful of research has been conducted to identify the optimal expansion plans based on various energy‐related perspectives. The appraisal and classification of studies under these topics are necessary to provide insights for further works in GEP studies. This article therefore presents a comprehensive up‐to‐date review of GEP studies. Result from the survey shows that the integration of demand side management, energy storage systems (ESSs), and short‐term operational characteristics of power plants in GEP models can significantly improve flexibility of power system networks and cause a change in energy production and the optimal capacity mix. Furthermore, this article was able to identify that to effectively integrate ESS into the generation expansion plan, a high temporal resolution dimension is essential. It also provides a policy discussion with regard to the implementation of GEP. This survey provides a broad background to explore new research areas in order to improve the presently available GEP models.

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Section: Existing Reviewsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

2019

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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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“…The impact of PV systems in power systems can be positive or negative depending on their size and location, and features of the electrical network. Some positive impacts can be reduction of power loss, improvement of voltage profile, and intensive use of transmission lines [1][2][3][4][5][6]. However, the intermittent power injection and the operating characteristics of inverters used in PV systems may cause a negative impact on a network, such as protection coordination failures, high losses in conductors, voltage fluctuations, harmonic distortion, and grid-side disturbances [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Impact Evaluation of Grid-Connected PV Systems on PQ Parameters by Comparative Analysis based on Inferential Statistics

et al. 2020

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The intermittent injection of power and the nature of power electronic devices used for photovoltaic (PV) systems can affect the power quality (PQ) of the grid to which they are connected. This study proposes to quantify and evaluate the impact of PV injection on the PQ of a low-voltage (LV) network by applying a statistical analysis through hypothesis testing for the mean comparison of populations of parameters with and without a PV system. The effects of PV power injection and load demand at the point of common coupling on PQ are monitored. The methodology includes the selection and monitoring of PQ, the use of a matrix for classification of data with similar load and PV power injection conditions, and the application of the Wilcoxon rank sum test. This methodology was applied to evaluate the impact of a 9.8 kWp PV system on the PQ of an LV network.

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Distributed generation planning from power system performances viewpoints: A taxonomical survey

Cited by 16 publications

References 269 publications

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

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

Impact Evaluation of Grid-Connected PV Systems on PQ Parameters by Comparative Analysis based on Inferential Statistics

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