Abstract
As the penetration of renewable energy to power grid increases gradually, to ensure the safety and stable operation of power system, it is necessary for renewable energy to participate in the secondary frequency regulation of power system. Therefore, this paper proposes an optimal control model of renewable energy participating in the secondary frequency regulation to solve the dynamic power distribution problem. Besides, memetic salp swarm algorithm (MSSA) is used to solve this complex nonlinear optimization problem, so as to quickly obtain high-quality power distribution schemes under different power perturbations and maximize the dynamic response regulation performance of the entire regional power grid. Finally, based on the improved IEEE standard two-area model, the established model is verified and the performance of the applied algorithm is tested by comparing the traditional engineering allocation method and other intelligent optimization algorithms.
Highlights
In recent years, to cope with climate change and sustainable energy development, the penetration of renewable energy connected to power grid has increased rapidly [1,2,3]
Compared with traditional hydropower plant and thermal power station, wind farm and PV station have faster response speed as well as climbing speed and rapid power fluctuations can be balanced more quickly [17,18,19]. erefore, for regional power grids with high renewable energy penetration, especially in low-load areas, and wind farm, PV station can be used on power point control method to control it in below the operation condition of maximum power point, with a certain reserve capacity to participate in the secondary frequency regulation [6, 20, 21], called automatic generation control (AGC) [22,23,24]
AGC mainly consists of two parts [25,26,27]: (1) based on the real-time acquisition of frequency and power deviation of the tie line, a centralized controller, such as proportional-integral (PI) controller, is used to acquire the approximate actual power fluctuation of the system, and the total power instruction of the regional power network is issued; (2) according to the power allocation algorithms, the total power instruction is assigned to each unit participating in the frequency regulation [28,29,30]
Summary
To cope with climate change and sustainable energy development, the penetration of renewable energy connected to power grid has increased rapidly [1,2,3]. Erefore, for regional power grids with high renewable energy penetration, especially in low-load areas, and wind farm, PV station can be used on power point control method to control it in below the operation condition of maximum power point, with a certain reserve capacity to participate in the secondary frequency regulation [6, 20, 21], called automatic generation control (AGC) [22,23,24]. Erefore, this paper proposes a multisource optimal collaborative control method for wind and solar renewable energy based on its dynamic response characteristics to participate in secondary frequency regulation.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
