# Autonomous-Collaborative Energy Optimization for Interconnected Energy Hubs Based on Transactive Control

## TL;DR

This paper proposes a bi-level transactive control framework for optimizing energy management across interconnected energy hubs, balancing privacy, operational control, and real-time efficiency.

## Contribution

It introduces a novel storage-energy-equivalent method with mathematical proof to relax nonlinear constraints in energy hub models within a bi-level optimization framework.

## Key findings

- Effective energy optimization in interconnected hubs demonstrated through simulation
- Preserves privacy and operational authority of individual energy hubs
- Achieves real-time control requirements successfully

## Abstract

Motivated by various benefits of multi-energy integration, this paper establishes a bi-level framework based on transactive control to realize energy optimization among multiple interconnected energy hubs (EHs). A storage-energy-equivalent method as well as its mathematical proof are provided in the lower level to realize nonlinear constraints relaxation of EH model, while the upper level solves the collaborative problem iteratively in both day-ahead and real-time stages. The proposed method can preserve information privacy and operation authority of each EH while satisfying real-time control requirement, and its effectiveness has also been verified by a simulation case.