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计及出力波动的光伏电站无功支撑能力评估
作者姓名:王强  顾乔根  孙仲民  耿少博  任江波
作者单位:国网河北省电力有限公司,南京南瑞继保电气有限公司,南京南瑞继保电气有限公司,国网河北省电力有限公司,国网河北省电力有限公司
基金项目:国家重点研发计划(2017YFB0902605),河北省电力有限公司科技项目(5204BB170008)。
摘    要:在满足配电网稳定运行的前提下,充分利用光伏电站并网逆变器的额定容量,挖掘光伏的无功支撑能力,能够促使配电网经济运行,因此开展光伏电站无功支撑能力评估具有重要的现实意义。首先,提出了基于动态时间弯曲算法的无功支撑能力评估方法和评估指标体系,实现实时态的无功支撑能力评估;然后,提出了基于深度置信网络模型的光伏出力预测方法和预测指标体系,结合预测数据实现未来态的无功支撑能力预测。算例分析表明,预测的光伏电站未来态无功支撑能力与实际未来态评估结果相吻合,验证了所提评估、预测方法的有效性。

关 键 词:光伏电站  无功支撑能力  动态时间弯曲算法  深度置信网络
收稿时间:2019/1/21 0:00:00
修稿时间:2019/6/17 0:00:00

The evaluation of reactive power support capacity of photovoltaic power station considering output fluctuation
Authors:WANG Qiang  GU Qiaogen  SUN Zhongming  GEN Shaobo  REN Jiangbo
Affiliation:State Grid Hebei Electric Power co., Ltd,Nanjing NR Electric co., Ltd,Nanjing NR Electric co., Ltd,State Grid Hebei Electric Power co., Ltd,State Grid Hebei Electric Power co., Ltd
Abstract:Under the premise of satisfying steady operation of distribution network, fully utilizing the rated capacity of the grid-connected inverter, and excavating the reactive power support of photovoltaic power station, which can promote economic operation of distribution network. Thus, it is of great practical significance to research the evaluation method of reactive power support for photovoltaic power station. Firstly, the evaluation method based on dynamic time warping(DTW) algorithm and the evaluation index system is proposed,so as to realize reactive power support evaluation in the real time. Then the prediction method of photovoltaic output based on deep belief network(DBN) and the predictive index system is proposed, combined with predicted data to realize reactive power support evaluation in the future state. Numerical examples show that the predicted evaluation result is highly consistent with the actual evaluation result,which verifies the effectiveness of the established evaluation and prediction method.
Keywords:photovoltaic power station  reactive power support  dynamic time warping algorithm  deep belief network
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