An Optimization Modeling Study of the Integrated Energy Systems in Industrial Parks

综合能源系统作为未来实现高比例可再生能源并网的关键平台和载体，正受到全球范围内的高度重视与快速推进。本文以综合能源系统的运行优化为核心研究内容，针对东北某大型工业园存在的能源结构单一与浪费问题，在其老旧园区基础上设计并构建了园区综合能源系统，建立了能源枢纽数学模型，提出兼顾经济性与能效性的多目标优化运行策略。在满足园区用能需求的前提下，该策略有效降低了运维成本与二氧化碳排放量，并显著提升了能源利用效率。通过进一步引入阶梯碳价、奖惩因子及需求响应机制，构建综合能源系统运行优化模型，在多源数据融合与实时调度基础上，实现园区碳排放的进一步削减，为推动园区“双碳”目标的实现提供了理论支撑与技术路径。As a key platform for achieving high consumption of renewable energy in the future, integrated energy systems (IES) have attracted increasing global attention and are being rapidly developed. This study focuses on the operational optimization of an IES as the core research content. Aiming at the problem of single energy structure and waste in a large industrial park in Northeast China, the park integrated energy system (PIES) is designed and constructed based on its old infrastructure. The mathematical model of the energy hub is established, and a multi-objective optimization operation strategy that takes into account economic factors and energy efficiency is proposed. The simulation results show that, on the premise of meeting the energy demand of the park, this proposed approach significantly reduces CO2 emissions and operational costs while improving renewable energy utilization. By further introducing ladder carbon pricing, reward-and-punishment factors, and demand response strategies, an operation optimization model for IES is constructed. Based on multi-source data fusion and real-time scheduling, further reductions in carbon emissions within the park are realized, providing theoretical support and technical pathways for promoting the achievement of “dual-carbon” goals in the park.