A Robust Energy Management Strategy for Multi Carrier Energy System
Ankit Garg, K. R. Niazi
Abstract
Given the increasing need for electrical and thermal energy, there is a pressing requirement to implement a comprehensive framework that encompasses multiple carriers, including electricity and gas, within the energy system. Additionally, as the use of intermittent energy sources continues to rise, it becomes essential to establish a resilient energy management system which is capable in modelling unpredictable patterns accurately. This study presents an innovative and sustainable energy management framework for modeling a multi-carrier energy system (MCES) system. To address the uncertainties inherent in the system, a robust optimization model based on max-min approach is proposed. Additionally, the flexibility of the MCES is enhanced through the integration of various components which includes flexible energy demand management program, battery electric vehicles (BEVs), and compressed air battery storage (CABS). Problem is formed in a single linear structure and solved using the GAMS CPLEX solver. In addition to minimize green energy wastage and ensure operational efficiency, hybrid power to gas units (such as electrolyzers, methanization reactors, and fuel cells) are incorporated, along with the inclusion of heat pumps. The simulation results indicate that by utilizing flexible resources and power-to-gas units, the Multi-Carrier Energy System (MCES) achieves a substantial reduction of 50.5% in operating cost. This study demonstrates the economic, reliable, and environmentally viable nature of the multi-carrier system.