考虑综合需求响应的电热系统调度

随着综合能源中电、热负荷不断增长以及热电联产(CHP)装置、风机等电源迅速发展,弃风现象愈发严重。为解决弃风问题,提出考虑电、热综合需求响应的优化模型。首先,在负荷侧分析电、热负荷的可调度价值,对电负荷建立实时电价模型,并采用价格型需求响应进行调整;其次,采用自回归滑动平均(ARMA)模型描述热负荷的传输延迟特性,并考虑模糊性供热舒适度,使得热负荷具有一定的弹性,即热力需求响应,通过2种响应模式对电、热负荷进行调整可增大风电上网空间;然后,在源侧增加电锅炉和储热装置,增加系统的灵活性,解耦CHP“以热定电”的刚性需求;最后,以系统的日运行费用与弃风成本最小为目标,在Matlab中调用CPLEX对模型进行求解。算例表明,所提方法可显著提升风电消纳能力,降低系统运行成本,提高能源利用效率。

Optimal dispatching strategy of combined heat and power systemconsidering integrated demand response

Considering the continuous electricity and heat load growth of integrated energy,as well as the rapid development of power sources such as combined heat and power(CHP)and wind turbine,an optimization model that considers the integrated demand response of electricity and heat is proposed.Firstly,the dispatchable value of electric load and thermal load are analyzed on the load side and a real-time electricity price model is established for electric load.The model is adjusted by price-based demand response.The transmission delay characteristics of thermal load are taken into account and auto regression moving average(ARMA)model is used to describe.The fuzzy comfort characteristics of heat load are taken into account so that the thermal load is flexible.It is the thermal demand response.Based on the two response modes,the electric and thermal loads are adjusted to increase the space for wind power to connect to the grid.Secondly,electric boilers and heat storage devices are added on the source side.They increase the flexibility of the system and decouple the rigid demand of CHP"power determined by heat".Finally,minimizing the daily operating costs and wind abandon costs of the system is the target.CPLEX in Matlab is used to solve the model.The calculation example shows that the method can significantly improve the absorption capacity of wind power,which can reduce the operating cost of the system and improve the efficiency of energy utilization.