A Dynamic Programming based method for optimizing power system restoration with high wind power penetration

Power system restoration is very significant for the operation reliability. Although a totally blackout in today's power system rarely happens, the operators still have to make the restoration strategies in advance by using their experience or some strategy supportive systems. Nowadays, as distribution energy resources are integrated increasingly, the traditional grid codes, operation rules, and protection strategies have been modified to accommodate them gradually. Among these renewable energy technologies, wind energy conversion system is the most promising one due to its technical features and relatively low cost. Thus, many countries are increasing the wind power penetration in their power system step by step, such as Denmark, Spain and Germany. The incremental wind power penetration brings a lot of new issues in operation and programming. The power system sometimes will operate close to its stable limits. Once the blackout happens, a well-designed restoration strategy is significant. This paper focuses on how to ameliorate the power system restoration procedures to adapt the high wind power penetration and how to take full advantages of the wind power plants during the restoration. In this paper, the possibility to exploit the stochastic wind power during restoration was discussed, and a Dynamic Programming (DP) method was proposed to make wind power contribute in the restoration rationally as far as possible. In this paper, the method is tested and verified by a modified IEEE 30 Buses System. The testing system was modified by replacing traditional generators with wind farms to create a high wind penetration system.