Bi-Level Multi-Objective Optimal Design of Integrated Energy System Under Low-Carbon Background

Yang Yang,Jiaquan Yang,Xin Lv,Hongzhi Liu,Xingyu Yuan,Yigu Zhen,Zhao Luo,Jinghui Wang

doi:10.1109/access.2021.3070654

Abstract

The integrated energy system can realize the coupling and complementation of various energy sources such as cold, heat and electricity, and plays an important role in the consumption of renewable energy. This paper proposes a bi-level optimal design method for integrated energy system from both economic and carbon emissions aspects. The upper model aims at maximizing the system economy and optimizes the selection and capacity allocation of renewable energy power generation, storage and conversion equipment to meet the demands in the region. The lower model aims at maximizing the environment-protection performance and minimizes the system’s carbon emissions. Since the lower model contains binary variables to characterize trading states and charging and discharging states, the model cannot be transformed into a mathematical program with equilibrium constraints. To effectively handle this problem, the reformulation and decomposition method is adopted. Case studies show that this bi-level model can effectively consider the influence of the objective function in the lower model on the optimal capacity configuration in the upper model, avoid the influence of different objective weights when the multi-objective model is converted to the single-objective model, and obtain the global optimal solution.

Highlights

With human society’s development, the contradiction between energy demand and the living environment is becoming more and more serious
To handle the uncertainties caused by multi-source and multi-load, the authors of [7] proposed a bi-level planning model for integrated energy system (IES) with flexible means consist of energy storage and demand response
RESULTS we use the regional integrated energy system (RIES) shown in FIGURE 1 to perform the case studies, to verify the robust planning and design method of RIES that considers the temporal-correlation proposed in this article

Summary

INTRODUCTION

With human society’s development, the contradiction between energy demand and the living environment is becoming more and more serious. Considering the expensive investment cost of electric storage devices, the authors of [8] proposed an optimal planning method for islanded IES incorporating solar and biogas energy. If the model has binary variables that characterize the interactive states, it will cause the model to be non-convex Under this scenario, the strong duality theory is not applicable to transform the maximum problems into minimum problems, and the multi-objective planning model cannot be optimized simultaneously. This paper proposes a bi-level multi-objective optimal design of regional integrated energy system (RIES), with the considerations of economics and carbon emissions. The bi-level multi-objective model can be solved efficiently and quickly This model allows the introduction of binary variables in the lower level, which is essential for characterizing the operating state of the system. The convergence proof can be seen in [30]

RESULTS

COMPARATIVE ANALYSIS OF OPTIMIZATION RESULIS

CONCLUSION