Load Frequency Control of Multi-interconnected Renewable Energy Plants Using Multi-Verse Optimizer

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

A reliable approach based on a multi-verse optimization algorithm (MVO) for designing load frequency control incorporated in multi-interconnected power system comprising wind power and photovoltaic (PV) plants is presented in this paper. It has been applied for optimizing the control parameters of the load frequency controller (LFC) of the multi-source power system (MSPS). The MSPS includes thermal, gas, and hydro power plants for energy generation. Moreover, the MSPS is integrated with renewable energy sources (RES). The MVO algorithm is applied to acquire the ideal parameters of the controller for controlling a single area and a multi-area MSPS integrated with RES. HVDC link is utilized in shunt with AC multi-areas interconnection tie line. The proposed scheme has achieved robust performance against the disturbance in loading conditions, variation of system parameters, and size of step load perturbation (SLP). Meanwhile, the simulation outcomes showed a good dynamic performance of the proposed controller.

Original languageEnglish
Pages (from-to)219-231
Number of pages13
JournalComputer Systems Science and Engineering
Volume37
Issue number2
DOIs
StatePublished - 1 Mar 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Load frequency control
  • multi-area power system
  • multi-verse optimization
  • renewable energy sources

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