基于大数据与双向耦合的区域综合能源系统协同优化模型

Collaborative Optimization Model of Regional Integrated Energy System Based on Big Data and Two-way Coupling

为了提升综合能源系统的经济性与环保性,提出一种基于大数据与双向耦合的区域综合能源系统协同优化模型。通过采集、压缩、传输等步骤获取能源数据预处理结果,以电-气能源为例,建立双向耦合模型,实现不同能源之间的耦合与协调;构建一个区域综合能源系统模型,将运行成本、碳排放和标准煤消耗设定为目标函数,并设置约束条件,将启发式规则引入粒子群算法中,利用优化后的算法求解该模型,实现区域综合能源系统多目标优化。算例结果表明,应用该方法后运行成本、碳排放和标准煤消耗量明显降低,提高了能源系统的经济性与环保性。

In order to improve the economy and environmental protection of integrated energy system,a collaborative optimization model of regional integrated energy system based on big data and two-way coupling is proposed.The preprocessing results of energy data are obtained through acquisition,compression,transmission and other steps.Taking electric-gas energy as an example,a two-way coupling model is established to realize the coupling and coordination between different energy sources.A regional comprehensive energy system model is built,operating cost,carbon emissions and standard coal consumption are set as the objective functions,and the constraints are given.The heuristic rules are established into the particle swarm optimization algorithm,and the optimized algorithm is used to solve the model,the multi-objective optimization of the regional comprehensive energy system is achieved.The calculation results show that the operation cost,carbon emissions and standard coal consumption are significantly reduced after the application of this method,and the economy and environmental protection of the energy system are improved.