The analysis of power quality, including voltage fluctuations, in distributed generation

Solntsev, Evgeni; Mamonov, A. A.; Fitasov, Anatoli; Petritsky, S.A.; Sevostianov, Alexandr

doi:10.18635/2071-2219-2019-3-37-40

Cited by 2 publications

(1 citation statement)

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“…In [8][9][10][11][12][13], the authors consider the main advantages, system-wide effects, and issues related to the connection of distributed energy sources to distribution networks. Studies [14][15][16] cover the operation of power grids with DG, including power system protection, hourly load, and electric power quality of distributed generation devices [17][18][19][20]. In [21][22][23], the authors investigate the security of electric power systems with distributed generation in terms of cascading failures and present the models for determining the limit operating conditions in power grids and methods for assessing the operating parameters of energy service areas with distributed generation facilities.…”

Section: Literature Reviewmentioning

confidence: 99%

A Methodological Approach to Assessing the Possible Effect of Distributed Generation Expansion on Regional Energy Supply Systems

Galperova

2021

Energy Systems Research

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One of the new challenges arising from the transition of the energy industry to the path of intelligent development is to assess the effect of distributed generation (DG) on the prospects for the development of regional energy supply systems. Such an assessment requires that the factors characterized by high uncertainty be taken into account. In this case, it is expedient to employ a combination of the optimization method with the Monte Carlo method. Such an approach has already been adopted in a model (computer program) developed at the Melentiev Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences. This model is designed to determine the rational mix of new power plants (with investment risks assessed and factored in) and the likely cost of electricity generation in a given aggregated region. We propose using this model as a source of projected data for an approximate assessment of the DG expansion, given the projected conditions for the energy sector and electric power industry development. It may also provide the basis for an array of research tools for relevant studies. The new toolkit requires a more detailed representation of the administrative division and the inclusion of consumers with their sources of electric power generation in the generating capacity. Although such an estimate is approximate, it can give an overall idea of the extent to which the cost and demand for electricity may vary under different options for the DG expansion in a region.

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