计及负荷聚合商调度优先权的独立微网双层实时调度模型

在消纳新能源实时波动功率时,负荷聚合商的用电风险特性可能带来用电高峰缺电、频率失稳及降低电能质量等威胁,甚至影响微网的可靠运行。以负荷聚合商的协调控制为手段,建立基于调度优先权的独立微网双层实时调度模型。在宏观层,根据负荷聚合商的用电风险特性,建立用电贡献度和用电置信度评价指标量化风险,分别从主、客观两个角度结合应用层次分析法和熵权法,综合评估各指标权重确定调度优先权,微网运营商即可制定满足微网具体要求的各负荷聚合商实时调度计划。在微观层,为降低消纳宏观层实时波动功率时负荷聚合商响应的不确定性,针对负荷聚合商工作时间和用户经济水平的差异,分别提出可中断时间补偿度和消纳分摊权,建立总负荷聚合商利益最大化优化消纳分摊策略。最后,以某地区的实际微网为例,分析验证了模型的科学性和有效性。

Double Layer Real-time Scheduling Model of Independent Microgrid Considering Scheduling Priority of Load Aggregators

In accommodating the new energy real-time power fluctuation, the load aggregators'' electricity risk characteristics may bring about such threats as peak power shortage, power imbalance due to frequency instability and lowering of electric energy quality and other threats, and even an influence on the reliable operation of the microgrid. In order to improve the real-time confidence of the microgrid electricity strategy, a double real-time scheduling model of independent microgrid based on priority scheduling is created by means of the aggregators'' coordinated control and priority scheduling. At the macro layer, the contribution degree and confidence degree of the electricity indexes are defined according to the electrical risk characteristics of load aggregators to quantify the risk. From the perspective of subjective and objective point of view, the comprehensive evaluation of each index is calculated using the analytic hierarchy process and entropy weight method to determine the scheduling priority in accordance with the specific requirements. Microgrid operators can make the real-time scheduling scheme of the load aggregators based on the scheduling priority. At the micro layer, in order to reduce the load aggregators response of uncertainty when real-time power fluctuations are disposed of at the macro layer, the compensation degree for interruptible time and the consumptive contribution weight are put forward respectively considering the differences of the work time and user''s economic level in the load aggregators. Finally, simulations on real microgrid show the scientific character and effectiveness of the proposed model.