基于多元融合的智慧园区电能源低碳调控方法研究

Research on Low Carbon Regulation Method of Electric Energy in Smart Park Based on Multi-integration

传统电能源低碳调控方法忽略了对约束条件的获取,导致调控过程协调性较差,高碳电能使用率偏高。提出基于多元融合的智慧园区电能源低碳调控方法。将分布式发电机组有功出力成本、主网有功成本、经济调度成本以及环境调控成本融合组成的总碳排放成本的最小化作为调控目标,构建调控优化运行模型的目标函数。并以潮流方程约束、线路约束、储能元件运行约束等为约束条件,通过多时段耦合问题的简化求解调控优化运行模型。通过分析不同时间段碳排放量高低,运用储能元件储热放热速率与发电机组电功率最小协调关系,调整碳排放值,达到低碳效果。实验证明:所研究方法可有效权衡经济成本和碳排成本,使智慧园区总成本最低;有效降低主网高碳时段高碳电能使用,实现了智慧园区在全时段内达到低碳优化效果。

Traditional low-carbon regulation methods of electric energy ignore the acquisition of constraints,resulting in poor coordination of regulation process and high carbon energy utilization rate.The low-carbon regulation method of smart park power energy based on multiple integration is proposed.The minimization of the total carbon emission cost,which is composed of the active power output cost of the distributed generator set,the active power cost of the main network,the economic dispatching cost and the environmental regulation cost,is taken as the regulation target,and the objective function of the regulation and optimization operation model is constructed.Taking power flow equation constraint,line constraint and energy storage element operation constraint as constraint conditions,the optimized operation model is solved through the simplified multi-period coupling problem.By analyzing the carbon emission levels in different time periods and using the energy storage elements to coordinate the heat release rate with the minimum electric power of the generator set,the carbon emission value can be adjusted to achieve the low carbon effect.The experimental results show that the method can effectively balance the economic cost and carbon emission cost,and make the total cost of the smart park the lowest.Effectively reduce the use of high-carbon electric energy in the high-carbon period of the main network,and realize the low-carbon optimization effect of the smart park in the whole time.