引用本文: | 包涛,程乐峰,陈柏熹,等.基于人工智能算法的无功优化分析软件设计[J].电力系统保护与控制,2018,46(3):89-96.[点击复制] |
BAO Tao,CHENG Lefeng,CHEN Baixi,et al.Software design of reactive power optimization analysis based on artificial intelligence algorithms[J].Power System Protection and Control,2018,46(3):89-96[点击复制] |
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摘要: |
针对实际电网对无功优化的需求,利用Java编程语言,设计并开发基于人工智能(Artificial Intelligence, AI)算法的无功优化分析软件。该软件集成了五种不同性能的AI算法,可用于不同场合下的无功优化求解,用户则可依据实际情况快速选择相应的算法进行无功优化计算,计算结果可指导电网对无功投切量和变压器变比等参数进行优化调整。软件主要包括项目管理模块、数据编辑模块、无功优化计算模块和控制变量编辑模块,并设有BPA-Matpower数据接口,可兼容BPA数据格式,能完成BPA数据到Matpower数据的精准转换。软件可直接对不同网架结构的BPA数据进行编辑,无需重新编程,具有计算精度高、通用性强等特点。最后,针对南方电网下某市电网的BPA数据进行工程实例分析,验证了该软件的有效性和实用性。 |
关键词: 无功优化 人工智能算法 BPA-Matpower 数据接口 通用性 |
DOI:10.7667/PSPC170113 |
投稿时间:2017-01-19修订日期:2017-04-06 |
基金项目:国家自然科学基金项目(51477055,51777078) |
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Software design of reactive power optimization analysis based on artificial intelligence algorithms |
BAO Tao,CHENG Lefeng,CHEN Baixi,YU Tao |
(College of Electric Power, South China University of Technology, Guangzhou 510640, China) |
Abstract: |
Aiming at the demand of Reactive Power Optimization (RPO) in this real power network, this paper uses the Java programming language to design and develop a RPO analysis software based on the Artificial Intelligence (AI) algorithms. The software integrates five AI algorithms with different properties, which can be used for RPO solution under different occasions. The user can quickly select the appropriate algorithm for RPO calculation based on actual situation, and the calculation results can guide the power grid company to optimize the parameters such as reactive power compensation capacity, transformer ratio, etc. The software mainly includes the project management module, data editing module, RPO calculation module and control variable editing module, and has BPA-Matpower data interface, which is compatible with BPA data format and can complete accurate conversion from BPA data to Matpower data. The software can directly edit the BPA data with different grid architectures without reprogramming, and has the characteristics of high precision and versatility. The effectiveness and practicability of the software is finally validated by an engineering case study, according to the BPA data of certain city grid under the China Southern Power Grid. This work is supported by National Natural Science Foundation of China (No. 51477055 and No. 51777078). |
Key words: reactive power optimization artificial intelligence algorithm BPA-Matpower data interface universality |