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A DSE-based power system frequency restoration strategy for PV-integrated power systems considering solar irradiance variations

journal contribution
posted on 2017-10-01, 00:00 authored by Samson YuSamson Yu, L Zhang, H H C Iu, T Fernando, K P Wong
With power networks undergoing an unprecedented transition from traditional power systems to modern electric grids integrated with renewable energy sources, maintaining frequency stability of generators in modern power systems has become one of the major concerns. Targeting this issue, in this paper, we propose a novel frequency restoration strategy in photovoltaics (PV)-connected power systems using decentralized dynamic state estimation technique and PV power plant as a contingency power source. When a sudden increase in load demand occurs, the output power of PV panels is increased in order to compensate for the shortage of real power capacity of the generator, in order to restore the frequency of a certain generator bus bar. An unscented Kalman filter-based decentralized dynamic estimation is utilized in this study to estimate the frequency of a selected generator bus bar with local noisy voltage and current measurement data acquired by using phasor measurement units. Solar luminous intensity may vary over a period of time in different seasons, weather conditions, etc., which causes the variations in the output power of PV power plants. This irradiance uncertainty is also considered in this study. The proposed control strategy not only incorporates the frequency deviations of a generator bus-bar, but also takes into account the tie-line power deviations under disturbances. Simulation results demonstrate the capacity of proposed control schemes in restoring the frequency of generator bus-bars and also maintaining the tie-line power flowing between adjoining areas at it scheduled value.

History

Journal

IEEE transactions on industrial informatics

Volume

13

Issue

5

Pagination

2511 - 2518

Publisher

Institute of Electrical and Electronics Engineers

Location

Piscataway, N.J.

ISSN

1551-3203

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2017, IEEE