摘要
电力系统网络层与物理层的深度耦合使得电力系统遭受网络攻击的风险不断上升。风电场群调度系统是自动化调度系统中的复杂信息物理系统,其对于实现发电计划、新能源消纳有重要作用。鉴于网络攻击可以改变调度的最优有功分配,甚至影响电力系统的稳定,文中提出随机受限的拒绝服务攻击下风电场群调度系统模型,该模型在已有风电场群有功调度的基础上,结合Bernoulli分布模拟攻击数据的丢失,制定相应攻击指标模拟攻击方的攻击路线,并以粒子群优化算法对模型进行求解,最后通过某风电场群的仿真调度系统验证所述方法的有效性。
The deep coupling between the network layer and the physical layer of the power system increases the risk of network attacks on the power system.The wind farm cluster scheduling system is a complex information physical system in the automated scheduling system,which plays an important role in achieving power generation planning and new energy consumption.Considering that network attacks can alter the optimal active power allocation of scheduling and even affect the stability of power systems,this paper proposes a wind farm group scheduling system model under randomly restricted denial of service attacks.Based on the existing wind farm group active power scheduling,this model combines Bernoulli distribution to simulate the loss of attack data,develops corresponding attack indicators to simulate the attack path of the attacker,and solves the model using particle swarm optimization algorithm.Finally,the effectiveness of the proposed method is verified through a simulation scheduling system of a wind farm group.
作者
慕国行
贺卫华
周自强
MU Guoxing;HE Weihua;ZHOU Ziqiang(State Grid Shanxi Electric Power Research Institute,Taiyuan 030001,China;State Grid Shanxi Electric Power Company,Taiyuan 030021,China)
出处
《中国测试》
CAS
北大核心
2024年第S01期276-282,共7页
China Measurement & Test
基金
国网山西省电力公司科技项目资助(520530230009)
关键词
风电场群调度
拒绝服务攻击
有功分配
wind farm cluster scheduling
denial of service attacks
active distribution
