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光伏发电并网输电效率性能评价研究 被引量:4

Research on Efficiency Performance Evaluation of Grid Connected Photovoltaic Power Generation
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摘要 大规模光伏发电会对电网产生各种不确定影响而带来风险问题,因此对光伏发电并网输电效率性能的评价研究显得尤为重要。传统光伏发电效能评价方法为单一的主观权重法,导致评价结果合理性和真实性较低。采用改进层次分析法的主观权重和熵权法的客观权重相结合来确定各指标的组合权重,结合归一化指标值求取了各指标的综合评价值。以33节点配网系统为例,从经济性、可靠性和安全性三个方面对光伏发电在不同方案接入方式下进行了效能评价仿真,结果表明,改进后的评价方法能够全面有效的反映光伏发电并网对电网系统的影响。 Large scale photovoltaic (PV) power generation will have a variety of uncertain impact on power grid, it is particularly important to study the efficiency performance evaluation of PV power generation. Most of traditional PV power generation efficiency evaluation methods are a single subjective weight method, which makes low rationality and authenticity of the evaluation results. It is proposed to decide the combined weights of each evaluation index by subjective weight of improved analytic hierarchy process (AHP) and objective weight of entropy weight method, the comprehensive values of each index are calculated according to normalized index value. Taking 33 nodes distribution network system as an example, from three aspects of economy, reliability and safety, the performance evaluation and simulation of PV power generation in different schemes are carried out, the results show that the improved evaluation method can fully and effectively reflect the impact of grid connected PV power generation on grid system.
作者 王湘艳 苗淼 陈宁 汤奕 WANG Xiang-yan;MIAO Miao;CHEN Ning;TANG Yi(State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems, China Electric Power Research Institute, Nanjing Jiangsu 210003, China;State Power Economic Research Institute of Qinghai, Xining Qinghai 810008, China;School of Electrical Engineering, Southeast University, NanjingJiangsu 210096, China)
出处 《计算机仿真》 北大核心 2017年第11期90-94,98,共6页 Computer Simulation
基金 国家电网公司科技项目资助(NY71-15-041) 国网青海省电力公司科技项目(52283014000S)
关键词 光伏发电 改进层次分析法 熵权法 组合权重 效率性能评价 Photovoltaic power generation Improved analytic hierarchy process Entropy weight method Combina- tion weight Efficiency performance evaluation
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