SIMULATION-BASED STOCHASTIC PROGRAMMING TO GUIDE REAL-TIME SCHEDULING FOR SMART POWER GRIDS UNDER CYBER ATTACKS

With the integration of renewable energy and advanced communication technologies, smart power grids can enhance the cost-efficiency and reliability of energy generation, transmission, and distribution. The communication network connecting numerous remotely distributed generators, devices, and controllers plays a vital role in the control of power grids. However, it is vulnerable to cyber attacks. In particular, because of its frequency and lasting impact, the Distributed Denial of Service (DDoS) attack poses an important threat to smart power grids. This paper presents a simulation-based stochastic programming approach to guide the unit commitment and economic dispatch decisions, which accounts for the prediction uncertainty of wind power and the impact from DDoS attacks. The case study demonstrates that the proposed approach can lead to a more cost-efficient and reliable operational decision guidance for smart power grids.