Decentralized Distributionally Robust Coordinated Dispatch of Multiarea Power Systems Considering Voltage Security

Abstract

To achieve an efficient coordination of multiarea power systems, this article proposes a new coordinated dispatch optimization model for multiarea power systems. In the proposed optimization model, active and reactive powers are jointly optimized in a decentralized manner. Both of conventional generators and wind farms adopt the automatic voltage control strategy to mitigate the risk of undervoltage or overvoltage, and, thus, the nodal voltage security can be ensured in the optimization. At the same time, optimal admissible regions of wind power can be also obtained from decisions, which are optimized by making a tradeoff between the operational cost and renewable utilization in the optimization. Moreover, considering that it is hard to exactly estimate the true probability distribution of wind power due to modeling errors and insufficient historical data, the distributionally robust optimization is also employed in the proposed optimization model to take the uncertainty of wind power probability distributions into account. Besides, to improve the computational efficiency, an efficient algorithm is also developed. Numerical results on two test power systems demonstrate that compared with the traditional optimization models, the proposed decentralized dispatch model can achieve more reliable decisions and promote the renewable utilization.