考虑区域供热系统及不确定性因素的综合能源系统日前调度

Day-ahead Scheduling of Integrated Energy System Considering Districted Heating System and Uncertain Factors

在电热综合能源调度中,热电机组作为电热系统耦合部件,冬季时会产生“以热定电”现象,影响系统风电消纳能力提升,同时负荷和风电不确定性会对系统经济性造成负面影响。在调度中充分考虑区域供热系统热特性和不确定性因素,以最小化运行费用和弃风率为目标,建立了基于模糊机会约束规划的电热综合能源系统日前调度模型。通过算例对模型进行验证,算例采用Python和Gurobi仿真求解,验证了模型的有效性。结果表明:所建模型提高了系统经济性和消纳风电能力,并通过置信水平和模糊度的选择,可以实现系统在一定风险下的最佳经济性。

In the power-heat integrated energy dispatching,the combined heat and power unit is used as a coupling component of the power-heat system.In winter,the phenomenon of“heat setting”will occur,affecting the system’s wind power consumption capacity.Meanwhile,the uncertainties in load and wind power will have a negative impact on the system economy.To solve this problem,the thermal characteristics of a districted heating system and uncertain factors are fully considered in the scheduling,with the goal of minimizing the operating cost and the wind power abandonment rate.In this way,a day-ahead scheduling model of the power-heat integrated energy system is established based on the fuzzy chance constrained programming.The proposed model is validated by an example,which is solved through simulations using Python and Gurobi,thus verifying the effectiveness of the novel model.Results show that this model can improve the system economy and its capability to absorb wind power.In addition,through the selection of confidence levels and ambiguity,the system’s best economic performance under certain risks can be achieved.