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Energies 2014, 7(1), 115-129;

A Load Fluctuation Characteristic Index and Its Application to Pilot Node Selection

State Key Laboratory of Power Systems, Tsinghua University, Beijing 100084, China
Author to whom correspondence should be addressed.
Received: 22 October 2013 / Revised: 17 December 2013 / Accepted: 27 December 2013 / Published: 3 January 2014
(This article belongs to the Special Issue Smart Grids: The Electrical Power Network and Communication System)
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The operation of power systems has been complicated by the rapid diversification of loads. Analyzing load characteristics becomes necessary to different utilities in energy management systems to ensure the reliability of power systems. Here, we describe a method of analyzing and quantifying the load characteristics and introduce its application to pilot nodes selection for zone based voltage control. We propose a new index, the Q-fluctuation (QF), to quantify the load characteristic of reactive power based on an analysis of historical data. A second index, the V-fluctuation (VF), which is a combination of the QF and the Q–V sensitivity that reflects structural information for the grid describes the voltage deviation at each node. These indices are used to construct the voltage fluctuation space, which is then used to select the pilot node for each zone. Simulation studies using IEEE 14-bus and 118-bus systems are described, and used to demonstrate the advantages of the proposed method. The method was able to improve the secondary voltage control and enhance the grid reliability in response to structural changes. View Full-Text
Keywords: automatic voltage control (AVC); secondary voltage control (SVC); pilot node selection automatic voltage control (AVC); secondary voltage control (SVC); pilot node selection

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Ge, H.; Guo, Q.; Sun, H.; Wang, B.; Zhang, B.; Wu, W. A Load Fluctuation Characteristic Index and Its Application to Pilot Node Selection. Energies 2014, 7, 115-129.

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