A Method for Distributed Transactive Control in Power Systems based on the Projected Consensus Algorithm

TL;DR

This paper proposes a distributed control method using the projected consensus algorithm to optimize power system operations involving generators and loads, enhancing real-time stability and efficiency.

Contribution

It introduces a novel distributed transactive control strategy based on the projected consensus algorithm for power systems with multiple agent types.

Findings

Convergence of the proposed control method is demonstrated.

Numerical results show improved social welfare optimization.

The approach effectively manages distributed energy resources.

Abstract

The shift of power systems toward a smarter grid has brought devices such as distributed generators and smart loads with an increase of the operational challenges for the system operator. These challenges are related to the real-time implementation as well as control and stability issues. We present a distributed transactive control strategy, based on the projected consensus algorithm, to operate the distributed energy resources and smart loads of a power system toward optimal social welfare. We consider two types of agents: Generators, and smart loads. Each agent iteratively optimizes its local utility function based on local information obtained from its neighbors and global information obtained through the network of agents. We show convergence analysis and numerical results for the proposed method.