考虑碳排放的综合能源系统“结构-型号-容量”优化模型

综合能源系统能源结构多样,同种设备的不同型号之间价格、性能差异性大,如何在规划阶段确定合理的能源结构、设备型号组合及装机容量是实现运行阶段节约成本的前提。文章在考虑二氧化碳排放量的基础上研究“能源结构-设备型号-装机容量”规划优化模型。首先,构建基于最近邻法(K-nearest-neighbors,KNN)的实例推理技术得出适合拟建设园区的能源结构;其次,构建“外层选型,内层定容”的双层优化框架,考虑碳排放阶梯成本,以全寿命周期总成本最低为优化目标,利用蚁群算法-遗传算法相结合的方式求解最优设备型号组合及最优装机容量。最后,通过算例分析验证所提模型在降低成本上的有效性。

Structure-Model-Capacity Optimization Model of Integrated Energy System Considering Carbon Emissions

The energy structure of the integrated energy system is diverse, and the prices and performances of different models of the same equipment vary greatly. How to determine a reasonable energy structure, equipment model combination and installed capacity in the planning stage is the premise to achieve cost savings in the operation stage. This paper studies the optimization model of "energy structure-equipment model-installed capacity" planning considering carbon dioxide emissions. Firstly, a case-based reasoning technique based on K-nearest-neighbors (KNN) to obtain the energy structure suitable for the proposed park is constructed. Considering the carbon emission ladder cost, and taking the lowest total life cycle cost as the optimization objective, the combination of ant colony algorithm and genetic algorithm is used to solve the optimal equipment model combination and the optimal installed capacity. Finally, the effectiveness of the proposed model in reducing costs is verified by example analysis.