考虑CCHP的工业大用户综合能源系统扩展规划

工业大用户是一个多能源综合供给系统,传统的工业大用户综合能源系统(integrated energy system,IES)规划忽略了多种能源的参与。计及冷热电联供系统(combined cooling, heating and power,CCHP),考虑多能梯级利用及其与可转移生产任务的耦合关系,文章建立了工业大用户综合能源系统扩展规划模型。目标函数为系统综合成本最低,其中包括与售电公司交互成本、大用户自发电成本及生产任务转移成本,模型中考虑了多能耦合平衡约束、发电设备技术约束、可转移生产任务负荷调度约束等约束条件,优化CCHP的容量配置。该模型是一个混合整数线性规划(mixed integer linear programming,MILP)模型。最后通过算例对所提模型进行验证,结果表明在工业大用户综合能源系统规划中考虑CCHP能够提高用户用能的灵活性,有效降低综合成本。

Expansion Programming of Integrated Energy System for Large Industrial User Considering the CCHP

Large industrial user is a multi-energy supply system. Traditional integrated energy planning of large industrial users ignores the participation of various energy sources. This paper presents a new approach for solving the integrated energy system(IES) planning problem for large industrial user particularly considering the combined cooling, heating and power(CCHP), as well as the transfer of cooling, heat and electric loads with the production tasks. The proposed optimization model is to minimize the comprehensive cost of the system which includes the interaction cost with the selling company, the investment cost, operation and maintenance cost, and fuel cost of CCHP, and the transfer cost of production tasks. Prevailing constraints include multi-energy coupling balance constraint, technical constraint of power generation equipment and load scheduling limits of transferrable production tasks. The model optimizes the capacity configuration of CCHP. The model is a large-scale mixed integer linear programming(MILP) model, whose simulated results of the case studies validate that consideration of CCHP can increase the flexibility of energy consume and effectively reduce the comprehensive cost of large industrial users.