Research on Partitioning Strategy Based on Locational Marginal Price with High Proportion of Renewable Energy

Abstract

With the formal proposal of the double carbon goals, the proportion of renewable energy accessing in the system will further increase, and the traditional partitioning strategy is no longer applicable. This paper proposes a power market partition strategy, considering the system network topology and the locational marginal price in different renewable energy output scenarios, and uses a spectral clustering algorithm to partition the nodes. Numerical cases based on IEEE-39 system and provincial power grid of 244 nodes are carried out to demonstrate the effectiveness of the proposed approach, the results of the partition can correctly reflect the electricity market price.