Voltage Consistency Control Of Microgrids Under Malicious Network Attack

With the high-quality development of energy in the new era,the popularization of household electric vehicles and the integration of renewable energy into the grid,the control of the grid becomes more difficult.The microgrid is an important form to achieve energy efficiency and reduce transmission losses,and is also the cornerstone of smart grid in the future.It will not only replenish the power grid,but also provide power support in case of an emergency.With the development and maturity of the multi-agent system,it brings innovative inspiration to the microgrid.Many scholars have introduced control methods of the multi-agent system into microgrids to keep the output voltage of distributed generators stable.The microgrid is generally controlled by hierarchical control.The primary control keeps the voltage and power stable.The secondary control eliminates the static error generated by the primary control,and the terminal control optimizes the power distribution.In secondary control,neighbor’s information needs to be obtained by the network.On the one hand,with a large amount of information,the introduction of event triggering can reduce the amount of sampling and controller calculation.On the other hand,the transmission of information needs to be through the network,which brings convenience but also faces the threat of network attack.Therefore,under the above background,two control methods based on model and data are designed respectively for the microgrid voltage consistency control problem under cyber attacks.Aiming at the problem of voltage recovery and frequency regulation of the microgrid secondary control based model under Denial-of-Service(Do S)attacks.A novel distributed secondary voltage and frequency control strategy is proposed with the Zeno-free eventtriggered scheme for an island alternating current(AC)microgrid under Do S attacks.A Do S attack compensation mechanism and an event-triggered mechanism on the basis of the checking scheme are developed.Then,a secure event-checked based event-triggered secondary control method is explored to guarantee the tracking performance of the microgrid under Do S attacks.Further,some linear matrix inequalities based sufficient conditions are derived to design the controller.What’s more,the proposed asynchronous periodic triggering method can efficiently save communication resources and further reduce the update number of the controller.Finally,the efficiency of this work is verified by an islanded AC microgrid with comparisons.Aiming at the problem of voltage recovery and frequency regulation of the microgrid secondary control based on data under Do S attack.Increasing methods have applied in the microgrid secondary control.However,the model faces the problem of the imprecision modeling.With the development of model-free adaptive control(MFAC),more and more cyber-physical systems adopt this algorithm.In this paper,a resilient MFAC algorithm is designed in secondary control of microgrids under Do S attacks.The data model in this work only requires the input and output data and does not require an exact physical model in microgrids secondary control.Firstly,we design a controller with MAFC algorithm to restore voltage and regulate frequency to normal value under the Do S attack.Then,compared with the existing paper,we consider a switching Do S attacks and each distributed generator(DG)suffer the different cyber attacks.In addition,an attack compensation mechanism is proposed to reduce the impact of the cyber attacks.Finally,the validity of this work is verified by an AC microgrid in Matlab/Simulink.