Multi-Energy Coordinated Day-ahead Energy Management of Integrated Electrical-Gas Energy System

作者：X Shi, Jianyuan Feng, F.Q Zhang, Chuangxin Guo · 年份：2023 · DOI：10.1145/3653081.3653153 · 研究领域：Integrated Energy Systems Optimization、Smart Grid Energy Management、Electric Power System Optimization

This study introduces the integration of demand response mechanisms to optimize the functioning and economic efficiency of a multi-energy system. We categorize energy demand response into two types: price-based and substitution-based. These categories not only consider the influence of time-differentiated energy pricing on consumer energy use strategies, but also recognize the synergistic potential of combining electricity and gas resources. A key contribution of this research is the development of a non-linear optimization scheduling model, grounded in the dynamic natural gas flow equation, to provide a comprehensive representation of the energy system. To enhance the feasibility of this model, complex natural gas flow constraints are transformed into a convex form using second-order cone relaxation. The model's effectiveness is further bolstered by employing a sequential optimization strategy, ensuring the relaxation's precision. Case studies are conducted to demonstrate the practicality of the proposed solving algorithm and the efficiency of our dynamic multi-energy system modeling approach. This dynamic model capitalizes on the storage capabilities of natural gas pipelines, offering a more cost-effective and efficient solution compared to static models.