| 引用本文: | 阴艳超,吴仁杰,常斌磊.复杂电网电能质量知识云评价服务模型与方法[J].电力自动化设备,2018,(5): |
| YIN Yanchao,WU Renjie,CHANG Binlei.Knowledge cloud evaluation service model and method for power quality of complex power grid[J].Electric Power Automation Equipment,2018,(5): |
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| 摘要: |
| 针对复杂电网系统时空动态特性对电能质量评价的影响，构建跨时空分布的多维知识云协同评价服务框架，提出了基于多维多规则的电能质量云评价方法。分析不同监测点和不同监测时间段电能质量水平评估的时空特性，建立每项电能质量指标包括期望、熵和超熵3个数字特征的知识云，构建多维知识云协同评价服务框架；构建电能质量综合评价的前件云和后件云模型，并提出基于多维多规则的电能质量云评价规则及算法，分析各评估指标与质量等级之间不确定映射关系在值域空间和确定度空间的分布，完成电能质量综合评价从定量输入到动态推理再到定量输出的映射变换；开发了电能质量云评价功能组件。通过实例对比和分析证明所提评价框架及方法的可行性和有效性。 |
| 关键词: 复杂电网 电能质量 云评价 时空动态特性 知识云 评价服务 |
| DOI：10.16081/j.issn.1006-6047.2018.05.034 |
| 分类号:N945;TM711 |
| 基金项目:国家重点研发计划项目(2017YFB1400301)；国家自然科学基金资助项目(51365022) |
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| Knowledge cloud evaluation service model and method for power quality of complex power grid |
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YIN Yanchao, WU Renjie, CHANG Binlei
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Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China
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| Abstract: |
| Aiming at the influence of the spatial-temporal dynamic characteristics of complex power grid on the evaluation of power quality, a collaborative evaluation service framework based on the spatial-temporal multi-dimensional knowledge cloud is established and a multi-dimensional and multi-rule based cloud evaluation method for power quality is proposed. The spatial-temporal characteristics of power quality level evaluation at different monitoring points and different monitoring periods is analyzed, and the knowledge cloud of each power quality index is established including three numerical characteristics of expectation, entropy and hyper entropy, and the collaborative evaluation service framework of multi-dimensional knowledge cloud is built. The antecedent cloud model and consequent cloud model of power quality comprehensive evaluation are built and the rules and algorithm of the multi-dimensional and multi-rule based cloud evaluation are proposed, based on which the distribution of uncertain mapping relationship between each evaluation index and quality level is analyzed in the range space and certainty space, and the mapping transformation of power quality comprehensive evaluation from quantitative inputs to dynamic reasoning then to quantitative outputs is realized. The cloud evaluation functional components of power quality are developed. The feasibility and effectiveness of the proposed evaluation framework and method are verified by case study. |
| Key words: complex power grid power quality cloud evaluation spatial-temporal dynamic characteristics knowledge cloud evaluation service |
