大停电事故后计及信息系统故障的机组启动次序优化策略

大停电事故后合理的机组启动次序方案有助于提高电力系统的发电量,进而加快电力系统恢复速度。由于电力系统调度控制高度依赖信息系统,在电力系统恢复过程中信息系统的故障会影响机组的启动次序。在此背景下,建立了考虑信息系统故障的机组启动次序优化模型。首先,介绍基于拒绝服务(DoS)攻击的信息系统故障,并分析机组恢复过程中信息系统故障对机组恢复特性的影响;然后,运用场景分析法处理信息系统故障时刻的不确定性,以最大化系统总发电量的期望为目标函数,考虑机组启动时间约束、与信息系统故障相关的辅助变量约束和机组启动功率约束,构建了机组启动次序优化模型,并采用线性化方法将所提出的模型转化为混合整数线性规划模型,采用商业求解器高效求解;最后,采用IEEE 39节点系统验证了所提出模型的有效性。

An Optimization Strategy for Generator Start-up Sequence After Blackouts Considering the Cyber System Fault

A reasonable start-up sequence scheme of generator units after blackouts is conducive to increasing the generation capacity of power systems and speeding up power system restoration. Since the dispatching control of power systems highly depends on cyber systems, the cyber system fault will affect the start-up sequence of generator units in the process of power system restoration. Given this background, an optimal start-up sequence model of generator units is proposed with consideration of the cyber system faults. Firstly, the cyber system fault based on the denial of service (DoS) attack is introduced, and the effect of the cyber system fault on the restoration characteristics of generator units in the process of generators' restoration is analyzed. And then, the time uncertainty of cyber system fault is addressed by employing the scenario analysis method. An optimal start-up sequence model of generators is proposed with the expectation of maximum power systems’ total generation as objective function, and taking into account the constraints including the start-up time constraint of generator units, the auxiliary variables constraint related to the cyber system fault, and the start-up power constraint of generator units. The proposed model is linearized and reformulated into a mixed-integer linear programming model, and it can be efficiently solved by commercial solvers. Finally, the IEEE 39-bus power system is employed to verify the effectiveness of the proposed model.