Reactive and Active Power Control of Grid WECS Based on DFIG and Energy Storage System under both Balanced and Unbalanced Grid Conditions

This paper focuses on improving the active and reactive power control of Wind Energy Conversion System (WECS) by employing the Battery Energy Storage System (BESS) and controlling the frequency and voltage regulation instantaneously. The proposed power control scheme is composed of two control loops so that they are implemented and designed for active power control and controlling the reactive power, respectively, which both are equipped with PI type controllers. In addition, two control loops were utilized to control the frequency and voltage on the rotor side converter under balance and unbalance grid conditions. In this paper, the presented control strategy optimally tuned all the parameters of controllers at the same time by utilizing a mixed integer nonlinear optimization programming and solved by the ICA algorithm. Moreover, in order to demonstrate the effectiveness of the proposed strategy, non-linear time domain simulations were carried out in MATLAB software. The obtained simulation results verified that the proposed control scheme efficiently utilize BESS to control the active and reactive power control and confirm the effectiveness of the proposed strategy under the balanced and unbalanced grid conditions.

[1]  Sadegh Vaez-Zadeh,et al.  Improved fault ride through strategy for doubly fed induction generator based wind turbines under both symmetrical and asymmetrical grid faults , 2016 .

[2]  T. Dinesh,et al.  Independent operation of DFIG-based WECS using resonant feedback compensators under unbalanced grid voltage conditions , 2015, 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS).

[3]  Liangzhong Yao,et al.  Novel Integration of Wind Generator-Energy Storage Systems Within Microgrids , 2012, IEEE Transactions on Smart Grid.

[4]  Milad Niaz Azari,et al.  Optimum design of a line-start permanent-magnet motor with slotted solid rotor using neural network and imperialist competitive algorithm , 2017 .

[5]  Ebrahim Farjah,et al.  A novel optimizing power control strategy for centralized wind farm control system , 2016 .

[6]  J.A.P. Lopes,et al.  Participation of Doubly Fed Induction Wind Generators in System Frequency Regulation , 2007, IEEE Transactions on Power Systems.

[7]  Reza Hemmati,et al.  Optimal control strategy on battery storage systems for decoupled active-reactive power control and damping oscillations , 2017 .

[8]  Mattias Persson,et al.  Frequency control by variable speed wind turbines in islanded power systems with various generation mix , 2017 .

[9]  Gonzalo Abad,et al.  Single-Phase DC Crowbar Topologies for Low Voltage Ride Through Fulfillment of High-Power Doubly Fed Induction Generator-Based Wind Turbines , 2013, IEEE Transactions on Energy Conversion.

[10]  Panayiotis Moutis Discussion on “Primary Frequency Regulation by Deloaded Wind Turbines Using Variable Droop” , 2014 .

[11]  Mansour Mohseni,et al.  Review of international grid codes for wind power integration: Diversity, technology and a case for global standard , 2012 .

[12]  K. V. Shihabudheen,et al.  Control for grid-connected DFIG-based wind energy system using adaptive neuro-fuzzy technique , 2018 .

[13]  Gao Yuan,et al.  Participation in primary frequency regulation of wind turbines using hybrid control method , 2018 .

[14]  Ahmad Fakharian,et al.  New Control Method of Islanded Microgrid System: A GA & ICA based optimization approach , 2016 .

[15]  Thomas Ackermann,et al.  International comparison of requirements for connection of wind turbines to power systems , 2005 .

[16]  Tayeb Allaoui,et al.  A New Sliding Mode Control Strategy for Variable-Speed Wind Turbine Power Maximization , 2018 .

[17]  Sajjad Tohidi,et al.  Analysis and Enhancement of Low-Voltage Ride-Through Capability of Brushless Doubly Fed Induction Generator , 2013, IEEE Transactions on Industrial Electronics.

[18]  Yao Wang,et al.  An input–output linearization algorithm‐based inter‐area damping control strategy for DFIG , 2018 .

[19]  Marco Liserre,et al.  Overview of Multi-MW Wind Turbines and Wind Parks , 2011, IEEE Transactions on Industrial Electronics.

[20]  Reza Hemmati,et al.  Nonlinear modeling and simulation of battery energy storage systems incorporating multiband stabilizers tuned by Meta-heuristic algorithm , 2017, Simul. Model. Pract. Theory.

[21]  Yang Wang,et al.  Grid-fault tolerant operation of DFIG wind turbine generator using a passive resistance network , 2009, 2009 IEEE Energy Conversion Congress and Exposition.

[22]  Shuo Wang,et al.  Virtual Synchronous Control for Grid-Connected DFIG-Based Wind Turbines , 2015, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[23]  George Chen,et al.  Review of high voltage direct current cables , 2015 .

[24]  Sajjad Tohidi,et al.  A comprehensive review of low voltage ride through of doubly fed induction wind generators , 2016 .

[25]  S. Mishra,et al.  Small-Signal Stability Analysis of a DFIG-Based Wind Power System Under Different Modes of Operation , 2009, IEEE Transactions on Energy Conversion.

[26]  J.A. Ferreira,et al.  Wind turbines emulating inertia and supporting primary frequency control , 2006, IEEE Transactions on Power Systems.

[27]  Seyyedmilad Ebrahimi,et al.  Vector control optimization of DFIGs under unbalanced conditions , 2018 .

[28]  Goran Strbac,et al.  A fuzzy-logic-based control methodology for secure operation of a microgrid in interconnected and isolated modes , 2017 .

[29]  Mohsen Rahimi Drive train dynamics assessment and speed controller design in variable speed wind turbines , 2016 .

[30]  Roberto Cárdenas,et al.  Overview of control systems for the operation of DFIGs in wind energy applications , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.