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考虑多重不确定性的园区综合能源系统区间优化调度

Interval Optimal Dispatching of Community Integrated Energy System Considering Multiple Uncertainties

  • 摘要: 电力市场环境下,园区综合能源系统需要考虑电价波动以制定第二天的调度计划。而风电和光伏发电等分布式电源出力的不确定性给园区综合能源系统经济运行带来了巨大挑战。文中提出了一种考虑多重不确定性的园区综合能源系统区间优化调度方法。首先,采用区间理论对电价和分布式电源出力的不确定性进行了建模;然后,以日运行费用最低为目标,结合综合能源系统运行约束,建立了考虑不确定性的园区综合能源系统日前优化调度模型;最后,采用区间线性规划方法对模型进行求解。算例结果验证了所提模型和方法的有效性。

     

    Abstract: Under electricity market environment, the fluctuation of electricity prices needs to be considered in formulating next day's dispatching plan for community integrated energy system (CIES). At the same time, the uncertain output of distributed generators such as wind turbine and photovoltaic power generation brings significant challenges to the economic operation of CIES. Therefore, an interval optimal scheduling method of CIES considering multiple uncertainties is proposed. Firstly, the interval theory is used to model the uncertainties of electricity price and output of distributed generators. Then, taking the lowest daily operation and maintenance cost as objective function, and considering the operation constraints of the CIES, a day-ahead optimal dispatching model of CIES considering uncertainties is established. Finally, the interval linear programming method is used to solve the model. The results have verified the effectiveness of the proposed model and method.

     

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