Search

This paper proposes an event-triggered distributed control method based on state observer and multi-kernel extreme learning machine (MKELM) for direct current microgrid, which can suppress the false data injection attacks (FDIA) in system. Firstly, considering the problem that most of the methods have poor suppression capability for discrete attacks in sensor signals, an MKELM-based suppression method for sensor attack is proposed. MKELM is used to model the microgrid system, the output current estimated by MKELM is employed in the controller instead of the current value measured by sensors, thus avoiding the FDIA present in sensors. Secondly, an event-triggered state observer-based distributed secondary control method with H∞ consensus performance is designed for suppressing the FDIA in communication link. In the controller, a state variable is constructed by deriving the microgrid system expression as a first-order multi-agent system, and then a state observer is designed to observe the transmitted information for isolating and suppressing the attack signals. And it is proved theoretically that the proposed event-triggered controller can achieve H∞ consensus convergence. Finally, simulation analyses verify the effectiveness of the method for suppressing FDIA in DC microgrid system. [ABSTRACT FROM AUTHOR]

In PV power generation systems, flexible power point tracking control needs to be introduced to regulate the output power on the PV side for meeting the grid connection requirements. However, traditional FPPT control methods tend to cause certain oscillations in the system. This paper proposes an FPPT method based on the adaptive lion swarm optimization algorithm (ALSO). First, an ALSO algorithm is proposed, which adds adaptive scaling parameters to the lion swarm optimization algorithm, so that the number of adult lions can be adjusted adaptively with increasing iterations to coordinate the local exploitation and global search abilities of the algorithm. Then the ALSO is used to selectively optimize the operation of different intervals so as to achieve the FPPT control on the left or right side of the maximum power point. The test experiments for the ALSO algorithm show that the ALSO algorithm has strong local exploitation and global search abilities, which is better than the compared algorithms. Through the simulations on the PV grid-connected system, the validity and superiority of the ALSO-based method over the traditional FPPT algorithm in terms of dynamic and steady-state performance are verified under different operating conditions. [ABSTRACT FROM AUTHOR]