A New Scheme of Harris Hawk Optimizer with Memory Saving Strategy (HHO-MSS) for Controlling Parameters of Power System Stabilizer and Virtual Inertia in Renewable Microgrid Power System

Mohamad Almas Prakasa, Imam Robandi, Ryo Nishimura, Muhammad Ruswandi Djalal

Research output: Contribution to journalArticlepeer-review

Abstract

Renewable microgrid power systems confront a typical stability challenge due to the deficiency of damping and inertia properties. It can be maintained by controlling the parameters of the Power System Stabilizer (PSS) and Virtual Inertia (VI). This paper proposes a new approach for controlling the optimal parameters of PSS and VI in the renewable microgrid power system consisting of a conventional generator, Photovoltaic Energy System (PVES), Wind Turbine Energy System (WTES), and Battery Energy Storage System (BESS). A new scheme of Harris Hawk Optimizer with Memory Saving Strategy (HHO-MSS) is proposed as the optimizer. Benson Scalarization Technique is also introduced to combine objective functions based on damping factor and damping ratio. Using the Friedman Ranking Test, the HHO-MSS has shown superior performance in exploration and exploitation processes over the other modified versions of HHO and basic algorithms. Moreover, using a convergence curve and proportion analysis has shown that HHO-MSS has a significant improvement in the balance of exploration and proportion. The optimal parameters are investigated by eigenvalue and time domain analysis in low, mid, high, and full RES penetrations. The HHO-MSS gives a better fitness value of 9% to 26% compared to the other algorithms. The analysis shows that PSS gives better stability improvement than VI in low and mid RES penetrations. On the other hand, VI gives better stability improvement than PSS in high and full RES penetrations. The proposed approach with controlling parameters of PSS and VI by HHO-MSS justifies the best stability improvement in all RES penetrations with optimal Rate of Change of Frequency (RoCoF) reduction, smallest overshoot, and smoothest frequency and power angle responses. Moreover, it has the highest average error reduction of 47.26% when validated with performance indexes.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Access
DOIs
Publication statusAccepted/In press - 2024

Keywords

  • Damping
  • Electricity
  • Generators
  • Microgrids
  • Oscillators
  • Power system stability
  • Renewable energy sources
  • harris hawk optimizer
  • memory saving strategy
  • power system stabilizer
  • renewable microgrid
  • virtual inertia

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