Optimal control of renewable energy system integrated with electric vehicle

• Published in: Intelligent Circuits and Systems Vol. 1; pp. 244 - 253
• Main Authors: Shah, Muzafar Ahmad, Mir, Mohammad Imran, Dhillon, Javed
• Format: Book Chapter
• Language: English
• Published: United Kingdom Routledge 2021; Taylor & Francis Group
• Edition: 1
• Subjects: PID controller; Wind Power; Power Electronic Interfaces; Wind Generators; Fine Tuning Approaches; MATLAB Simulink; LFC; MATLAB Simulink Model; vehicle-to-grid (V2G); Dg's Output Power; Hourly Wind Data; Animal Behaviours; Inverter; load frequency control (LFC); Secondary Frequency Control; LFC Problem; Deg; Frequency Deviations; DMS; PSO; Generator's Actual Power Output; EV; PSO Algorithm; Si; Intelligent Circuits; isolated grid; electric vehicle (EV); diesel generator; Optimal Pid Controller
• DOI: 10.1201/9781003129103-39

Wind power is a major source of renewable energy, and the world is in high demand. Nevertheless, due to large variations in power output, it is difficult to manage wind power. To mitigate these fluctuations, this paper proposes a method for suppressing frequency variability in wind power. The smart grid concept in the grid has recently developed the role that electric vehicles play in the form of vehicles in terms of grid technology. The grid management vehicle allows the two-way sharing of energy between the power grid and the electricity vehicle, providing various power grid services. Because the implementation of grid technology by vehicles is a challenging unit commitment issue with multiple conflicting goals and constraints, optimization techniques are commonly used. If a generating unit is suddenly disconnected by the protective equipment, there will be a long-term imbalance in the power balance between that supplied by the turbines and that consumed by the loads. Originally, the kinetic energy of spinning turbine, generator and engine rotors covers this discrepancy, resulting in a shift in the frequency of the process. The Load Frequency Control problem is one of the important subjects in the field of power system control and operation. The traditional PI type controllers were applied to LFC in functional systems. Several methods have been proposed by various researchers to address the drawbacks of traditional PI controllers. A PID based controller for the LFC problem is considered in this paper. The proposed PID controller's parameters were tuned using the particle swarm optimization (PSO) approach. This chapter proposes a method for suppressing frequency variability in wind power to mitigate these fluctuations. The grid management vehicle allows the two-way sharing of energy between the power grid and the electricity vehicle, providing various power grid services. Because the implementation of grid technology by vehicles is a challenging unit commitment issue with multiple conflicting goals and constraints, optimization techniques are commonly used. A large part of renewable energy is produced by wind power and is steadily increasing as the generation cost is attractive. Wind energy costs can be lower than most other available technologies for electricity generation. The swarm intelligence was inspired by studying social interaction, animal behaviours seen between birds, fish, etc. Particle swarm optimization follows the process found in fish, where by competing and cooperating with each other they seek food. The swarm has so-called elements in which each unit represents different possible collections of unknown constraints that should be optimized.