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可再生能源接入下的配电网电力质量预测与管理研究

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文章基于可再生能源接入下的配电网,针对电力质量的特点与问题展开了深入分析,通过构建预测模型和制定管理策略来提高配电网电力质量.通过采用时间序列分析、机器学习、智能优化算法等方法来构建预测模型,同时制定了电力质量监测与数据采集技术、电力质量改善与调节技术、配电网运行调度与优化策略等管理策略,从而为解决电力质量问题提供有效的技术手段和管理策略.
Research on Power Quality Prediction and Management in Distribution Networks with Renewable Energy Integration
Based on the situation of distribution network connected with renewable energy,this paper analyzes the characteristics and problems of power quality in depth,and improves the power quality of distribution network by constructing forecasting model and formulating management strategy.By using time series analysis,machine learning,intelligent optimization algorithm and other methods,the forecasting model is constructed,and management strategies such as power quality monitoring and data acquisition technology,power quality improvement and regulation technology,distribution network operation scheduling and optimization strategy are formulated,thus providing effective technical means and management strategies for solving power quality problems.

renewable energy integrationdistribution networkpower quality predictionpower quality management

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国网江西综合能源服务有限公司,江西南昌 330000

可再生能源接入 配电网 电力质量预测 电力质量管理

2024

通信电源技术
武汉普天通信设备集团有限公司

通信电源技术

影响因子:0.389
ISSN:1009-3664
年,卷(期):2024.41(11)
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