Optimal voltage control by wind farms using data mining techniques

Abstract

Owing to the rapid growth in the use of wind power, there is a need to carry out an evaluation of the frequency and voltage control of this technology. This study focuses on the voltage control of the evacuation network which connects different wind farms to the transmission network bus. The main contribution of this study is to present a novel real time algorithm which can be used as an alternative to classical techniques such as optimal power flow or artificial intelligence to determine the amount of reactive power that each wind farm should supply in order to minimise the power losses of a whole evacuation network. The optimal voltage control proposed in this study uses data mining techniques (regression rules to estimate the optimum reactive power of the wind farms and classification trees to estimate the optimum transformer taps). The methodology proposed in this study is illustrated with a study of two actual evacuation networks in the Spanish power system. The first one is representative of long feeders whereas the second one is representative of short feeders. The variability in the results of the methodology seems to be dependent on the features of the grids.

Effectiveness evaluation of the Lagrangian modified barrier function method on solving the optimal reactive power flow considering time-varying power demand

“…Newton's method is used to solve (5). With this aim, at each iteration γ, the Hessian matrix defined by W=∂ L/∂d must be calculated.…”

“…In this case, the equations in (5) with differentiation in λ specifically lead to the traditional power flow equations [5,7], which must be satisfied in the optimization process. These equations are the balance of active power injection, at PQ and PV buses, and reactive power injection, at PQ buses:…”

“…In this paper, we propose to apply the LMBF [1] technique to the ORPF problem, where the power demand changes along the time. The main motivation is justified since random variation of electrical quantities is a concern mainly due to the insertion of mixed sources in modern power systems, such as wind penetration in the distribution networks [5]. In the formulation problem, the active power losses in the system [6] are assumed as objective function.…”

A knowledge discovery in databases approach for industrial microgrid planning

“…Four data-mining approaches for wind turbine power curve monitoring are compared in [103]. An optimal voltage control is proposed in for a MG [104] using data mining techniques: regression rules to estimate the optimum reactive power of the wind farms and classification trees to estimate the optimum transformer taps.…”

Optimal reactive power dispatch of wind power plant cluster considering static voltage stability for low-carbon power system

“…In previous work, many scholars have investigated reactive power and voltage control strategy for wind power plants centralized region [12][13][14][15][16][17]. These studies mainly focus on the characteristics of reactive power compensation equipment in wind power plants and central substations, utilizing the operation information based on the time section that the voltage control cycle begin to decrease the power loss of WPPC [12][13][14] or to reduce the voltage deviation of the pilot nodes [15][16][17].…”