PSO OPTIMIZATION TECHNIQUE FOR LOAD FREQUENCY CONTROL(LFC) OF MULTI AREA SYSTEM

    The introduction of vehicle-to-grid technology offers electric vehicles (EVs) to participate in different ancillary services under a competitive electric market. EVs provide an opportunity to grow new products and services for grid management. Particularly, EVs, which is a new form of distributed energy storage, can be used to compensate for the uncontracted power in the local area if the contracts between the market players are violated. This Matlab design presents the participation of EVs for load frequency control (LFC) under the deregulated environment along with other conventional sources such as hydro, thermal, and gas turbine units. An aggregate model of EV fleets and improved version of fractional order (FO) controller is provided in all the areas for robust LFC considering bilateral transactions. Flower pollination algorithm, which is one of the new proven nature-inspired algorithms employed to choose the optimal parameters of the FO controllers under several scenarios. Numerous simulations are conducted to validate the superiority of the proposed control strategy.
Design Details:

  • Type: Thermal-Wind-Solar-Electric Vehicle Model (Simulink)
  • Controller: PID
  • Algorithm: PSO to find the optimal gain value of PID (Matlab code)
  • Fitness: ITAE
  • PV transfer function equation is taken from the paper "Antlion Optimizer-ANFIS Load Frequency Control for Multi-Interconnected Plants Comprising Photovoltaic and Wind Turbine"  and PV design based on equation no.8.

Result Evaluations:

  • Settling Time (ts),
  • Maximum Overshoot (MOS)
  • Under Shoot (US)

Reference Paper-1: Antlion Optimizer-ANFIS Load Frequency Control for Multi-Interconnected Plants Comprising Photovoltaic and Wind Turbine
Author’s Name: Ahmed Fathy and, Ahmed M. Kassem
Source: ISA Transactions
Year:2018
Reference Paper-2: Utilizing Electric Vehicles for LFC in Restructured Power Systems Using Fractional Order Controller
Author’s Name: Sanjoy Debbarma and Arunima Dutta
Source: IEEE TRANSACTIONS ON SMART GRID 
Year:2016

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SIMULATION VIDEO DEMO