考虑异质性的定频空调负荷聚合建模及功率跟踪策略

发布时间：2018-05-25 18:13

本文选题：需求响应 + 定频空调　；参考：《电力建设》2017年11期

【摘要】：为便于建立空调负荷聚合模型,目前研究往往假设空调个体参数一致,忽略了空调受控群内部参数差异较大的实际情况,亦未计及空调最小停运时间与整数设定温度的影响,因此该文考虑空调负荷的异质性,提出一种改进型聚合建模方法。该方法根据空调额定制冷量分组,并通过模糊C-均值聚类算法提高受控群电功率的模拟精度。引入最小停运时间以及设定温度的整数约束,使仿真结果更接近实际定频空调运行工况。同时,在实际运算中采用坐标格式存储稀疏矩阵,提高运算速度和模型的实用性。基于该改进型聚合模型,进一步提出一种功率跟踪策略,该策略计算各聚类群每一时刻的需求响应能力,通过求解0—1整数规划问题实现调控对象最优组合。仿真算例验证所提策略对目标功率跟踪的良好效果。
[Abstract]:In order to establish an air conditioning load aggregation model, the current research often assumes that the individual parameters of the air conditioning system are the same, neglecting the actual situation in which the internal parameters of the air conditioning control group differ greatly, and does not take into account the effects of the minimum shutdown time of the air conditioning system and the integer set temperature. Therefore, considering the heterogeneity of air conditioning load, an improved aggregation modeling method is proposed in this paper. The method is divided into groups according to the rated refrigerating capacity of air conditioning, and the simulation accuracy of controlled group power is improved by fuzzy C-means clustering algorithm. The minimum outage time and integer constraint of setting temperature are introduced to make the simulation results more close to the actual operating conditions of fixed frequency air conditioning. At the same time, the sparse matrix is stored in coordinate format in practical operation, which improves the speed of operation and the practicability of the model. Based on the improved aggregation model, a power tracking strategy is proposed, which computes the demand response ability of each cluster at every moment, and realizes the optimal combination of control objects by solving the 0-1 integer programming problem. A simulation example is given to verify the effectiveness of the proposed strategy for target power tracking.
【作者单位】：浙江大学电气工程学院;
【基金】：浙江省自然科学基金资助项目(LY15E070003)
【分类号】：TM714;TM73

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