Investigation of integrated energy storage system in wind power instability mitigation
Budget: $40 – $50 USD
Project Title: Investigation of integrated energy storage system in wind power instability mitigation
Deadline: 4 Days
Need to write the Documentation (Results and discussion): Around 30 pages
Project Description on below:
This project is to apply an integrated energy storage system to smooth wind power fluctuations. The use of energy storage to smooth renewable energy power fluctuation is an important topic, which is of great help to improve the grid penetration rate of renewable energy. Many kinds of energy storage system have been applied to smooth renewable energy power fluctuation. The coordinated control among multiple units in energy storage system, especially in battery energy storage system, is less studied. Recently, optimization algorithm and filtering algorithm are often used to suppress renewable energy power fluctuation.
Expected Outcomes In this paper, it is aimed:
• To obtain a relationship between the energy storage SOC and the cut-off frequency based on filtering algorithm.
• To analyse the energy storage initial SOC and cut-off frequency on wind power fluctuation mitigation to find the impacts of energy storage capacity
• To establish an adaptive filtering algorithm, to determine the initial filtering time constant and filtering time constant step.
• To propose a coordinated control strategy for an integrated energy storage system, where energy storage system can be divided into multiple groups of energy storage with different charge and discharge characteristics to achieve the economical operation of the system.
• To consider Different condition of wind turbine generation for project
The Expectation of Outcome:
1. Students need to use filtering principle and established the relationship between the energy storage SOC and the cut-off frequency.
2. To display the adaptability of the control strategy proposed→ student need to prove that under different energy storage capacities, the proposed strategy can reduce the operation economic cost of energy storage.
3. Students are encouraged to use any relevant simulation software to carry out the simulation and analysis.
Deadline: 4 Days
Need to write the Documentation (Results and discussion): Around 30 pages
Project Description on below:
This project is to apply an integrated energy storage system to smooth wind power fluctuations. The use of energy storage to smooth renewable energy power fluctuation is an important topic, which is of great help to improve the grid penetration rate of renewable energy. Many kinds of energy storage system have been applied to smooth renewable energy power fluctuation. The coordinated control among multiple units in energy storage system, especially in battery energy storage system, is less studied. Recently, optimization algorithm and filtering algorithm are often used to suppress renewable energy power fluctuation.
Expected Outcomes In this paper, it is aimed:
• To obtain a relationship between the energy storage SOC and the cut-off frequency based on filtering algorithm.
• To analyse the energy storage initial SOC and cut-off frequency on wind power fluctuation mitigation to find the impacts of energy storage capacity
• To establish an adaptive filtering algorithm, to determine the initial filtering time constant and filtering time constant step.
• To propose a coordinated control strategy for an integrated energy storage system, where energy storage system can be divided into multiple groups of energy storage with different charge and discharge characteristics to achieve the economical operation of the system.
• To consider Different condition of wind turbine generation for project
The Expectation of Outcome:
1. Students need to use filtering principle and established the relationship between the energy storage SOC and the cut-off frequency.
2. To display the adaptability of the control strategy proposed→ student need to prove that under different energy storage capacities, the proposed strategy can reduce the operation economic cost of energy storage.
3. Students are encouraged to use any relevant simulation software to carry out the simulation and analysis.