Due to the complex structure of a distributed energy resources system (DES) and a large amount of sensor data, local computers cannot provide enough computing resources to process the related data in a short time. Moreover, network integration causes a power system vulnerable to denial of service (DoS) attacks. DoS attacks result in the loss of partial sensor data, which affects the control performance of local computers on a power system. Therefore, this paper proposes a power system structure optimization strategy based on both sparse constraint optimization and cloud computing to solve the lack of computing power from local computers and prevent DoS attacks. Cloud computing is introduced to provide powerful computing resources for processing the related data in the proposed solution. The blocking probability of sensor data caused by DoS attacks is reduced by optimizing the sensor layout of a power system and reducing the transmission of sensor data. This paper also proposes a control strategy based on actor-critic reinforcement learning (RL) to maintain the stability of a power system during the structure optimization process. Three IEEE bus test systems are used to verify the effectiveness of the proposed structure optimization method and control strategy. The experimental results confirm that the proposed structure optimization method and control strategy can maintain the stability of a power system under DoS attacks.

由于分布式能源系统（DES）的复杂结构和大量的传感器数据，本地计算机无法提供足够的计算资源来在短时间内处理相关数据。而且，网络集成使电力系统容易受到拒绝服务（DoS）攻击。DoS攻击会导致部分传感器数据丢失，从而影响电力系统上本地计算机的控制性能。因此，本文提出了一种基于稀疏约束优化和云计算的电力系统结构优化策略，以解决本地计算机缺乏计算能力，防止DoS攻击的问题。引入云计算是为了提供强大的计算资源来处理所提出的解决方案中的相关数据。通过优化电力系统的传感器布局并减少传感器数据的传输，可以减少由DoS攻击引起的传感器数据阻塞的可能性。本文还提出了一种基于行为者批判强化学习（RL）的控制策略，以在结构优化过程中保持电力系统的稳定性。使用三个IEEE总线测试系统来验证所提出的结构优化方法和控制策略的有效性。实验结果表明，所提出的结构优化方法和控制策略能够在DoS攻击下保持电力系统的稳定性。本文还提出了一种基于行为者批判强化学习（RL）的控制策略，以在结构优化过程中保持电力系统的稳定性。使用三个IEEE总线测试系统来验证所提出的结构优化方法和控制策略的有效性。实验结果表明，所提出的结构优化方法和控制策略能够在DoS攻击下保持电力系统的稳定性。本文还提出了一种基于行为者批判强化学习（RL）的控制策略，以在结构优化过程中保持电力系统的稳定性。使用三个IEEE总线测试系统来验证所提出的结构优化方法和控制策略的有效性。实验结果表明，所提出的结构优化方法和控制策略能够在DoS攻击下保持电力系统的稳定性。