Non-Iterative Coordination of Interconnected Power Grids via Dimension-Decomposition-Based Flexibility Aggregation

TL;DR

This paper introduces a novel dimension-decomposition-based method for aggregating flexibility models of interconnected power grids, enabling efficient non-iterative coordination across large-scale systems with improved accuracy and less conservatism.

Contribution

The paper proposes a new dimension-decomposition algorithm for flexibility aggregation, overcoming high-dimensional challenges and improving coordination efficiency in interconnected power grids.

Findings

The proposed method produces less conservative flexibility regions.

Numerical tests confirm the accuracy and feasibility of the aggregated models.

The approach facilitates intuitive analysis of regional power grid resources.

Abstract

The bulk power grid is divided into regional grids interconnected with multiple tie-lines for efficient operation. Since interconnected power grids are operated by different control centers, it is a challenging task to realize coordinated dispatch of multiple regional grids. A viable solution is to compute a flexibility aggregation model for each regional power grid, then optimize the tie-line schedule using the aggregated models to implement non-iterative coordinated dispatch. However, challenges such as intricate interdependencies and curse of dimensionality persist in computing the aggregated models in high-dimensional space. Existing methods like Fourier-Motzkin elimination, vertex search, and multi-parameter programming are limited by dimensionality and conservatism, hindering practical application. This paper presents a novel dimension-decomposition-based flexibility aggregation algorithm for calculating the aggregated models of multiple regional power grids, enabling non-iterative coordination in large-scale interconnected systems. Compared to existing methods, the proposed approach yields a significantly less conservative flexibility region. The derived flexibility aggregation model for each regional power grid has a well-defined physical counterpart, which facilitates intuitive analysis of multi-port regional power grids and provides valuable insights into their internal resource endowments. Numerical tests validate the feasibility of the aggregated model and demonstrate its accuracy in coordinating interconnected power grids.