针对电力系统中冗余信息的传输对网络资源利用率的不利影响，基于粒子群和人工鱼群算法，提出了改进事件触发机制的电力系统负荷频率控制(load frequency control，LFC)。针对事件触发阈值与其对于事件触发机制性能的影响，分别改进了粒子群和人工鱼群算法，在算法的前期采用改进的鱼群算法，在算法的后期利用改进的粒子群算法，以系统性能为优化目标对事件触发阈值进行优化设计，减少了冗余信息的传输，增加了网络资源的利用率。构造改进的Lyapunov泛函，利用线性矩阵不等式方法，建立了LFC系统[H∞]稳定的充分条件。构建 2 区域LFC系统以及IEEE-39 节点仿真模型验证所提方法的有效性和适用性。仿真结果表明，所设计的算法能够节省网络通信资源，降低多区域电力系统间的信息传输频率。
Load Frequency Control of Power Systems Based on Improved Event-Triggering Scheme
In response to the impact of redundant information transmission on network resource utilization in current power systems,an improved event-triggered scheme based on particle swarm optimization and artificial fish swarm algorithm for power system load frequency control(LFC)is proposed in this paper.First of all,for the influence of the event-trigger threshold and the performance of the event-trigger scheme,the particle swarm algorithm and the artificial fish swarm algorithm are improved respectively.The optimization goal is to optimize the design of the event trigger threshold,reduce the transmission of redundant information,and increase the utilization of network resources.Second,by utilizing improved Lyapunov functional and the linear matrix inequality method,the sufficient condition for the stability of LFC system is established.Finally,a two-area LFC system and IEEE-39 node simulation models are constructed to verify the effectiveness and applicability of the proposed method.It can be seen from the simulation results that the designed algorithm can save network communication resources and reduce the frequency of information transmission between multi-regional power systems.
event-triggered schemeLFC systemsparticle swarm optimizationartificial fish swarm algorithm
NETL
NSTL
万方数据
