Measurement and prediction of network demand in the presence of renewable distributed generation

Boait, Peter; Gillie, Mary; Kim, Su Yeon

doi:10.1049/cp.2012.0728

Cited by 2 publications

(1 citation statement)

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“…The papers presented in [29][30][31][32] consider DGs as a passive element on technical planning process, i.e., DNOs have no control over DGs place/size. However, these papers proposed simplified methodologies, i.e., in such methodologies the influence of DGs in the technical planning process was represented by a simplified model (for example, models consider balanced loads).…”

Section: Introductionmentioning

confidence: 99%

Electrical distribution network operation with a presence of distributed generation units in a Pre Smart Grid environment using a clustering-based methodology

2015

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Technical planning methodologies applied to electrical distribution networks presented in the literature generally consider that the distributed generation units (DGs) are operating in their standard operation mode, i.e., the distribution network operators (DNOs) have no control over the active power dispatched by DGs and there is no injection of reactive power into the electrical distribution network. Furthermore, such methodologies generally consider only balanced loads connected to electrical distribution networks. Some others methodologies that have control over the power dispatched by DGs consider that the Smart Grid philosophy is completely implemented. However, it is a distant prospect in many developing countries. In that ideal scenario, there is a constant and online communication between DGs and DNOs control centers. In this paper, the authors propose a new technical planning methodology, based on a clustering method, that considers the occurrence of unbalanced electrical distribution loads, the absence of DNO control over the active power dispatched by DGs and the absence of online communications between DGs and DNOs. The proposed methodology can be implemented in a short and medium term (called Pre Smart Grid). In that period of time, the Smart Grid philosophy will not be completely implemented.

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Section: Introductionmentioning

confidence: 99%