The fluctuated power output of renewable energy sources brings new challenges to frequency control, especially for islanded microgrids with small spinning reserves. However, energy storage systems and widespread flexi...
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The fluctuated power output of renewable energy sources brings new challenges to frequency control, especially for islanded microgrids with small spinning reserves. However, energy storage systems and widespread flexible loads can be employed to the frequency regulation thanks to their flexibility of power outputs. This paper investigates the frequency regulation problem for islanded microgrids with distributed heterogeneous energy storage systems (HESS) composed of battery energy storage systems (BESS) and building thermal energy storage systems (BTESS). A distributedevent-triggered balanced power sharing strategy considering denial of service (DoS) attacks is designed for frequency regulation by allocating HESS power according to BESS state of charge (SoC), BTESS state of temperature (SoT) and their capacities. The range of control parameters for a stable controller are all provided by Lyapunov analysis. Moreover, the frequency feedback control gain for HESS is derived by using linear quadratic regulator. Simulation results show that the proposed frequency regulation strategy can guarantee the recovery of microgrids frequency and the proportional sharing of HESS power. Besides, SoC and SoT balancing with fewer communications are achieved, even with considering various parameters of HESS, such as capacity, efficiency and with communication link failures as well as DoS attacks.
This paper addresses the event-triggered leaderless and leader-follower consensus problems of general linear multi-agent systems (MASs) under directed topologies. By utilizing the relative outputs of neighboring agent...
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ISBN:
(纸本)9798350387780;9798350387797
This paper addresses the event-triggered leaderless and leader-follower consensus problems of general linear multi-agent systems (MASs) under directed topologies. By utilizing the relative outputs of neighboring agents, two novel distributed reduced-order observer-based event-triggeredcontrol (ETC) laws are proposed. Based on the Lyapunov function method, it is proved that the leaderless consensus and the leader-following consensus can be achieved under the proposed control laws, respectively. Additionally, the Zeno behavior is proven to be excluded. Finally, two simulation examples are provided to demonstrate the effectiveness of the obtained results.
This paper proposes a novel state -based intermittent communication mechanism to study the event -triggered consensus problem of linear multi -agent systems. The main feature of this mechanism is that whether the agen...
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This paper proposes a novel state -based intermittent communication mechanism to study the event -triggered consensus problem of linear multi -agent systems. The main feature of this mechanism is that whether the agents execute the control protocols is based on the current error state. In this communication mechanism, two frontier lines namely safety frontier and intermittence frontier are constructed to monitor the error state. On basis of this, a novel intermittent rule is proposed to arrange the work time and the rest time online with respect to the error state in real time. Then by utilizing state estimates of neighboring agents, a distributedevent -triggered protocol is integrated into intermittent communication, under which the overall consensus of multi -agent systems can be realized. It is interesting to see that the events are eliminated during the rest time and the amount of samplings can also be reduced. Compared to the current time -based mechanisms, the proposed state -based intermittent communication mechanism has more tolerant of rest time. At last, a numerical simulation with two cases is provided to verify our results.
The paper studies the synchronization problem of complex networks with identical nonlinear nodes via distributed event-triggered control. The triggered times are determined by a pre-given function which keeps the erro...
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ISBN:
(纸本)9781728101057
The paper studies the synchronization problem of complex networks with identical nonlinear nodes via distributed event-triggered control. The triggered times are determined by a pre-given function which keeps the error small enough. A general detailed-balanced graph is considered to solving the problem of asymmetric coupling matrix. Lyapunov stability theory is utilized to prove that under several conditions the nonlinear systems can achieve completely synchronization. A centralized lower bound of the interval between any two triggered times is also found to avoid undesirable Zeno phenomenon. Examples and numerical simulation are provided to illustrate the effectiveness of the theoretical analysis.
In this paper, consensus problem of general linear multi-agent systems is investigated with distributedevent-triggered strategy, where directed communication topology is considered. Firstly, a distributedevent-trigg...
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event-triggeredcontrol has been recent/y proposed as an effective strategy for the consensus of multi-agent systems. We present an improved distributed event-triggered control scheme that remedies a shortcoming of so...
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event-triggeredcontrol has been recent/y proposed as an effective strategy for the consensus of multi-agent systems. We present an improved distributed event-triggered control scheme that remedies a shortcoming of some previous event- triggeredcontrol schemes in the literature. This improved distributedevent-triggered method has no need for continuously monitoring each agent＇ neighbors. Moreover, each agent in the multi-agent systems will not exhibit the Zeno behavior. Numerical simulation results show the effectiveness of the proposed consensus control.
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