International Journal of Nonlinear Analysis and Applications

Dynamic modeling and microgrid frequency control connecting to the power grid in different modes

Document Type : Research Paper

Authors

Department of Electrical Engineering, Kazerun Branch, Islamic Azad University, Kazerun, Iran

Abstract

In this paper, using the potential of microgrid surface batteries, the frequency support of the power system in different operating modes was discussed. The study suggested that the process could be supported by a set of batteries in the microgrid (in the mains-connected mode and in the island mode, with the decentralized participation of each, in frequency support (power system or microgrid) in Different operating modes, were addressed. The approach used in this paper was to use a convex optimization algorithm. In this way, the batteries independently measured the system frequency and considering their charging mode injected the optimal power into the system, and A convex optimization algorithm will prove that the local optimal point (scattered battery injection) is the optimal point. It will also be universal (optimal system frequency control). Studies in system simulation in two modes of microgrid connected to the main grid and island microgrid have yielded several points.

Keywords

[1] M.R. Aghamohammadi and H. Abdolahinia, A new approach for optimal sizing of battery energy storage system
for primary frequency control of islanded microgrid, Int. J. Electron. Power Energy Syst. 54 (2014) 333–325.
[2] H. Bevrani, F. Habibi, P. Babahajyani, M. Watanabe and Y. Mitani, Intelligent frequency control in an ac
microgrid: online PSO-based fuzzy tuning approach, IEEE Trans. Smart Grid 3 (2012) 1944–1935.
[3] A.M. Bouzid, J.M. Guerrero, A. Cheriti, M. Bouhamida, P. Sicard and M. Benghanem, A survey on control of
electric power distributed generation systems for microgrid applications, Renew. Sustain. Energy Rev. 44 (2015)
166–151.
[4] S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, 2004.
[5] Y. Han, P.M. Young, A. Jain and D. Zimmerle, Robust control for microgrid frequency deviation reduction with
attached storage system, IEEE Trans. Smart Grid 6 (2015) 565–551.
[6] F. Katiraei, M. Iravani and P.W. Lehn, Micro-grid autonomous operation during and subsequent to islanding
process, IEEE Trans. Power Delivery 20 (2005) 251–248.
[7] J.-Y. Kim, J.-H. Jeon, S.-K. Kim, C. Cho, J.H. Park, H.-M. Kim and K.-Y. Nam, Cooperative control strategy
of energy storage system and microsources for stabilizing the microgrid during islanded operation, IEEE Trans.
Power Electron. 25 (2010) 3048–3031.
[8] X. Lu, J. M. Guerrero, K. Sun, J.C. Vasquez, R. Teodorescu and L. Huang, Hierarchical control of parallel AC-DC
converter interfaces for hybrid microgrids, IEEE Trans. Smart Grid 5 (2014) 692–683.
[9] V. Moghadam, R. Mohammad, R.T. Ma and R. Zhang, Distributed frequency control in smart grids via randomized
demand response, IEEE Trans. Smart Grid 5 (2014) 2809–2198.
[10] J. Pahasa and I. Ngamroo, PHEVs bidirectional charging/discharging and SoC control for microgrid frequency
stabilization using multiple MPC, IEEE Trans. Smart Grid 6 (2015) 533–526.[11] I. Serban and C. Marinescu, Battery energy storage system for frequency support in microgrids and with enhanced
control features for uninterruptible supply of local loads, Int. J. Electr. Power Energy Syst. 54 (2014) 441–432.
[12] A. Teninge, C. Jecu, D. Roye, S. Bacha, J. Duval and R. Belhomme, Contribution to frequency control through
wind turbine inertial energy storage, IET Renew. Power Gen. 3 (2009) 310–358.
International Journal of Nonlinear Analysis and Applications
Volume 13, Issue 1
March 2022
Pages 3113-3129
  • Receive Date: 07 October 2021
  • Revise Date: 24 November 2021
  • Accept Date: 17 December 2021
  • First Publish Date: 11 January 2022