Power Supply Capability Evaluation of Active Distribution Network on the Basis of Contribution Stratified Sampling

doi:10.3969/j.issn.1000-7229.2018.08.010

Abstract

Abstract: The power supply capacity （PSC） of active distribution system（ADS） is affected by varieties of uncertain factors such as the topology of distribution network, component faults, load level and the volatility of distributed energy resources （DER）. In order to quickly evaluate the PSC of ADS, this paper first analyzes the factors those affect the medium and long term PSC, and uncertainty modeling of DER and load output is carried out. The contribution stratified sampling algorithm is used to sample and obtain representative samples. For uncertainty of component operation, network uncertainty modeling is based on line importance. Furthermore, a series of evaluation indexes are defined for medium and long term PSC. Finally, an improved IEEE 14-node distribution network is used to verify the model and algorithm proposed in this paper by comparison with traditional Monte Carlo method.

Key words: active distribution system（ADS）, distributed energy resource（DER）, power supply capability（PSC）evaluation, contribution stratified sampling

CLC Number:

TM 732

REN Jiafeng，MU Qitian，YANG Yongchun，GAO Yajing. Power Supply Capability Evaluation of Active Distribution Network on the Basis of Contribution Stratified Sampling[J]. Electric Power Construction, 2018, 39(8): 77-84.

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Power Supply Capability Evaluation of Active Distribution Network on the Basis of Contribution Stratified Sampling

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