提高新能源消纳的电-热综合能源系统日前优化调度策略

Day-ahead scheduling strategy optimization of electric-thermal integrated energy system for improvement of new energy consumption

电、热综合能源系统的协调优化可以有效提升我国北方地区冬季取暖期间的用能结构,改善环境污染问题。为此,提出了一种将太阳能集热系统与风电机组、固体蓄热锅炉、生物质锅炉、地源热泵和蓄电池相耦合的电-热综合能源系统经济调度模型,以及综合考虑新能源不确定性、需求侧响应和储能的日前优化调度策略。建立了以整个系统的运行成本为目标的日前区间优化调度模型,采用Pyomo-GLPK软件进行建模并对其进行优化求解;通过算例,分析了模型在不同场景下的运行情况,比较太阳能集热系统与其他设备相耦合对系统的影响以及GLPK和CPLEX的求解结果。仿真结果表明,所提调度方法可有效降低整个系统的运行成本,并提高系统的灵活性和新能源的消纳能力。

The coordinated optimization of the comprehensive energy system of electricity and heat can effectively improve the energy structure during winter heating period in northern China and improve the environmental pollution.This paper presents an economic dispatch model for an electric-thermal integrated energy system which couples the solar collector system with wind turbines,solid-state heat storage boilers,biomass boilers,groundsource heat pumps and accumulators,and presents a day-ahead optimal dispatch strategy which takes into account the uncertainty of new energy,demand-side response and storage.A pre-day interval optimal dispatch model is established,which takes the operating cost of the whole system as the target.Pyomo-GLPK software is used to model and solve the problem.Through an example,the operation of the model in different scenarios is analyzed,the influence of the solar collector system coupled with other devices on the system is compared,and the solution results of GLPK and CPLEX are compared.The simulation results show that,the scheduling method proposed in this paper can effectively reduce the operating cost of the whole system and improve the flexibility of the system and the ability to consume new energy.