Online Optimal Control of Reactive Sources in Wind Power Plants
Authors:
- 2 August 2013
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Sustainable Energy
- Vol. 5 (2) , 608-616
Abstract
This paper suggests a novel approach to the problem of online optimal control of reactive sources in wind power plants (WPPs). Based on measurements tracking the actual conditions of each wind generator and the settings of transformers and compensation equipment within the WPP facility, the key idea is to incorporate reactive power optimization into a global WPP's control loop so that it can be used online to determine the optimal distribution of reactive power, which is needed to meet grid code requirements, among the available Var sources. The optimization problem is handled using an enhanced version of the mean-variance mapping optimization algorithm. A test case, based on a representative offshore WPP, is presented to demonstrate the effectiveness of the proposed control strategy.Keywords
This publication has 14 references indexed in Scilit:
- Determination of dynamic wind farm equivalents using heuristic optimization2012
- An optimal control strategy for reactive power in wind farms consisting of VSCF DFIG wind turbine generator systems2011
- A novel optimization algorithm for optimal reactive power dispatch: A comparative study2011
- A Mean-Variance Optimization algorithm2010
- Coordinated reactive power control for facilitating fault ride through of doubly fed induction generator- and fixed speed induction generator-based wind farmsIET Renewable Power Generation, 2010
- Predictive optimal control of wind farm reactive sources2010
- Network loss minimization with voltage security using differential evolutionElectric Power Systems Research, 2008
- Reactive Power Management in Offshore Wind Farms by Adaptive PSO2007
- Ant Colony Optimization-Based Approach to Optimal Reactive Power Dispatch: A Comparison of Various Ant Systems2007
- Bacteria Foraging-Based Solution to Optimize Both Real Power Loss and Voltage Stability LimitIEEE Transactions on Power Systems, 2007