Wind Power Monitoring and Control Based on Synchrophasor Measurement Data Mining

Abstract

More and more countries and utilities are trying to develop smart grid projects to make transformation of their power infrastructure towards future grids with increased share of renewable energy production and near zero emissions. The intermittent nature of solar and wind power can in general cause large problems for power system control. Parallel to this process, the aging of existing infrastructure also imposes requirements to utility budgets in the form of a need for large capital investments in reconstruction or maintenance of key equipment. Synchrophasor and other synchronized measurement technologies are setting themselves as one of the solutions for larger wind power integration. With that aim, in this paper one possible solution for wind power control through data mining algorithms used on a large quantity of data gathered from phasor measurement units (PMU) is described. Developed model and algorithm are tested on an IEEE 14 bus test system as well as on real measurements made on wind power plants currently in operation. One such wind power plant is connected to the distribution grid and the other one to the transmission grid. Results are analyzed and compared.

Multiscale PMU Data Compression via Density-Based WAMS Clustering Analysis

“…Voltage and frequency exhibit local characteristics such as different levels of voltage drop, oscillation, and frequency response. This uncorrelated signature of PMU data from a wide area contains information that is important for further PMU applications, such as system-operation decision [14], event detection/identification [15,16], fault location [17], monitoring/control of renewable resources [18], and stability analysis [19,20].…”

Methods and Concepts for Designing and Validating Smart Grid Systems

“…Simulation of an unbalanced 12.47-kV feeder with 12,780 households and 1000 electric vehicles (EV) under peak and auxiliary load conditions was conducted in [6] to analyse a three-phase loss allocation procedure for distribution networks. The authors in [7] in turn simulated a well-known IEEE 14 bus test system for analysing a developed data mining algorithm. The data came from phasor measurement units (PMU), and the algorithm pursued the goal of better integration of wind turbines.…”

A Design of PWM Controlled Calibrator of Non-Sinusoidal Voltage Waveforms

“…The third order Butterworth filter with defined specifications is sufficient for attenuation of voltage higher harmonics, because the LRC filter connected at the inverter output is the first step in The third order Butterworth filter with defined specifications is sufficient for attenuation of voltage higher harmonics, because the LRC filter connected at the inverter output is the first step in the harmonic's attenuation process. The transfer function in s-domain of the normalized three-pole filter is given by Equation (5). The known transfer function enables compensation of magnitude change and phase angle delay that is introduced by the anti-aliasing filter.…”

“…In addition, the need for realistic simulation and validation environments are essential for phasor measurement unit (PMU) development and deployment [3]. It should be pointed out that PMUs are an indispensable part of modern power monitoring and/or control systems since the dynamic states of wide-area power systems as well as microgrid can be estimated in real time using data obtained from these instruments [4,5].…”