PLANNING AND OPTIMIZING INTEGRATED ENERGY SYSTEMS BASED ON ENERGY HUB

Abstract

This paper proposes a model and simultaneously addresses the optimization of planning and operation for an Integrated Energy System (IES) built on the foundation of an Energy Hub (EH) comprising electricity, natural gas, and heat. This aligns with the current trend of developing interconnected energy structures. The model aims to minimize total costs across various aspects such as construction planning, operational coordination, and reliability, while considering constraints of the energy system network, energy balance, and other equipment-related limitations. The optimization problem, combined with mixed integer programming, involves objective functions and constraints containing nonlinear components. It is solved using linearization techniques and large-scale optimization utilizing the high-level programming language General algebraic modeling system (GAMS) to achieve optimal planning and operation results for the system. Computational results have demonstrated the superiority and efficiency of the model and processing method when comparing different planning scenarios, thereby affirming the effectiveness of the integrated energy system.