CROW SERACH ALGORITHM-VIRTUAL INERTIA CONTROL-ENHANCE FREQUENCY STABILITY-RENEWABLE ENERGY
DESIGN DETAILS
Nowadays, load frequency control (LFC) plays a pivotal role in modern power systems by maintaining the balance between the power generation and the load demand. Any mismatch in power balance results in the fluctuation of system frequency and tie-line power in the interconnected power system. The traditional integrated power system consists of thermal, hydro, and gas units solely, or in combination of any two or three units which cause a lot of pollution, especially the thermal power plants. Second factor with rapid growth in plug-in electric vehicle (PEV) or vehicle-to grid (V2G) technology is also utilised to meet the steeply growing demand of electric power. Opting PEVs due to its eco-friendly behaviour, as EVs have got no emission of carbon-dioxide gas in the atmosphere unlike conventional power generation sources. PEVs can also be used as an energy storage device and hence can provide ancillary support for grid operation. Thus, PEVs have huge potential in contributing to frequency control of the power grid through LFC. Third with increase in the utilization of power converter-based renewable energy sources (RESs), the overall system inertia in an interconnected power system might be significantly reduced, increasing the vulnerability of the interconnected power system to the system instability. To overcome problems caused by the significant reduction in system inertia, this design proposes a new application of virtual inertia control to improve frequency stability of the interconnected power system due to high penetration level considering renewable energy sources for power generation like solar, wind, hydro and EV. System modeling and simulation results are carried out using MATLAB program. To analyse the performance of PID controller by applying four indices ISE, IAE, ITAE and ITSE.Using CSA, the PID tuning method to get optimal Proportional Gain (Kp), Integral Gain (Ki) and Derivative Gain (Kd).
REFERENCES
Reference Paper-1: Virtual Inertia Control Application to Enhance Frequency Stability of Interconnected Power Systems with High Renewable Energy Penetration
Author’s Name: Thongchart Kerdphol , Fathin Saifur Rahman and Yasunori Mitani
Source: Energies
Year: 2018
Reference Paper-2: Modeling and design of an automatic generation control for hydropower plants using Neuro-Fuzzy controller
Author’s Name: Tilahun Weldcherkos, Ayodeji Olalekan Salau b, and Aderajew Ashagrie Source: Elsevier
Year: 2021
Reference Paper-3: Utilisation of plug-in electric vehicles for frequency regulation of multi-area thermal interconnected power system
Author’s Name: Pushpa Gaur, Debashish Bhowmik, and Nirmala Soren
Source: IET
Year: 2018
Reference Paper-4: Tuning of PID Controller Using Particle Swarm Optimization (PSO)
Author’s Name: Mahmud Iwan Solihin, Lee Fook Tack and Moey Leap Kean
Source: IJASEIT
Year: 2011
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