Regional Grid Load Frequency Control Strategy Considering Renewable Energy

2019 ◽  
Author(s):  
Wutao Chen ◽  
Dong Hua ◽  
Jiayu Zhong
Keyword(s):  
Renewable Energy ◽  
Control Strategy ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Grid Load

scholarly journals Load frequency control for renewable energy sources for isolated power system by introducing large scale PV and storage battery

2020 ◽  
Vol 6 ◽  
pp. 1597-1603
Author(s):  
Lei Liu ◽  
Tomonobu Senjyu ◽  
Takeyoshi Kato ◽  
Abdul Motin Howlader ◽  
Paras Mandal ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Large Scale ◽  
Frequency Control ◽  
Renewable Energy Sources ◽  
Load Frequency Control ◽  
Energy Sources ◽  
Storage Battery ◽  
Load Frequency ◽  
And Storage

scholarly journals Observer-Based Load Frequency Control for Island Microgrid with Photovoltaic Power

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Chaoxu Mu ◽  
Weiqiang Liu ◽  
Wei Xu ◽  
Md. Rabiul Islam
Keyword(s):  
Renewable Energy ◽  
Sliding Mode ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Superior Performance ◽  
Load Frequency ◽  
Power Simulation ◽  
The Neural Network ◽  
Comparative Results ◽  
System Frequency

As renewable energy is widely integrated into the power system, the stochastic and intermittent power generation from renewable energy may cause system frequency deviating from the prescribed level, especially for a microgrid. In this paper, the load frequency control (LFC) of an island microgrid with photovoltaic (PV) power and electric vehicles (EVs) is investigated, where the EVs can be treated as distributed energy storages. Considering the disturbances from load change and PV power, an observer-based integral sliding mode (OISM) controller is designed to regulate the frequency back to the prescribed value, where the neural network observer is used to online estimate the PV power. Simulation studies on a benchmark microgrid system are presented to illustrate the effectiveness of OISM controller, and comparative results also demonstrate that the proposed method has a superior performance for stabilizing the frequency over the PID control.

scholarly journals Optimization Technique Inspired Load Frequency Controller for Multi Area Power System with Renewable Energy Source

2021 ◽  
Vol 850 (1) ◽  
pp. 012017
Author(s):  
J Shri Saranyaa ◽  
A Peer Fathima ◽  
Asutosh Mishra ◽  
Rushali Ghosh ◽  
Shalmali Das
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Control Method ◽  
Frequency Control ◽  
Renewable Energy Sources ◽  
Optimization Technique ◽  
Optimization Method ◽  
Load Frequency Control ◽  
Load Frequency ◽  
The Individual

Abstract Modern day scenario has an increasing power demand due to the growing development which indeed increases the load on the generation which might cause turbulence in the system and may bounce out of stability. The governor itself can’t handle such frequent load changes and adjust the generation amount to keep the frequency between the margins. This paper proposes an approach towards such predicament to incorporate an optimization method in order to ensure stability of the system despite the drastic changes in demand. Load frequency control is a control method for maintaining the frequency of the system during the change in demand. Use of controllers has proven to be effective in controlling the frequency deviations in the power systems and the response of the controller is further improved using optimization technique for better stability. The PID controller tuned by Particle Swarm Optimization is employed in multi-area system which reduces the time response by a considerable amount and the deviation settles much quicker despite the rapid load changes. The proposed controller is executed further for renewable energy sources connected to the individual areas and demonstration proves that the optimized controller is efficient enough in handling the frequency deviations when wind and solar with sunlight penetration is incorporated.

scholarly journals A new load frequency control strategy for micro-grids with considering electrical vehicles

2017 ◽  
Vol 143 ◽  
pp. 585-598 ◽  
Author(s):  
Mohammad Hassan Khooban ◽  
Taher Niknam ◽  
Frede Blaabjerg ◽  
Tomislav Dragičević
Keyword(s):  
Control Strategy ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Electrical Vehicles ◽  
Micro Grids

A self-tuning load frequency control strategy for microgrids: Human brain emotional learning

2016 ◽  
Vol 75 ◽  
pp. 311-319 ◽  
Author(s):  
Mohammad Reza Khalghani ◽  
Mohammad Hassan Khooban ◽  
Esmaeil Mahboubi-Moghaddam ◽  
Navid Vafamand ◽  
Mohammad Goodarzi
Keyword(s):  
Human Brain ◽  
Control Strategy ◽  
Frequency Control ◽  
Emotional Learning ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Self Tuning ◽  
Brain Emotional Learning

scholarly journals Multi-Verse Optimizer for Model Predictive Load Frequency Control of Hybrid Multi-Interconnected Plants Comprising Renewable Energy

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 114623-114642 ◽  
Author(s):  
Hossam Hassan Ali ◽  
Ahmed M. Kassem ◽  
Mujahed Al-Dhaifallah ◽  
Ahmed Fathy
Keyword(s):  
Renewable Energy ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Load Frequency
Sign in / Sign up

Export Citation Format

Share Document