大型地面光伏电站综合自动化系统设计与实现
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摘要
大型地面光伏电站具有设备数量多、种类繁杂、组网复杂的特点,建立综合自动化系统难度较大。本文结合大型地面光伏电站组成结构与特点,分析了其综合自动化系统的功能需求,提出了一种基于分布式监控的设计与实现方案。该方案将综合自动化系统自下而上设计为子阵层、子阵环网层、间隔层、网络层与站控层,系统结构清晰,划分不同数据网,降低网络故障风险,有利于后期扩建,降低接入难度。分布式调节降低了AGC/AVC算法难度,提高了调节速度,缩短对电网调度调节指令的响应时间,有利于并网后电网系统的安全稳定运行。
Large ground photovoltaic power stations have the characteristics of large number of equipment, complex types and complex network construction, so it is difficult to establish comprehensive automation system. Combined with the structure and characteristics of large ground photovoltaic power station, the functional requirements of the integrated automation system are analyzed, and a design and implementation scheme based on distributed monitoring is proposed. The integrated automation system will be designed from bottom to top layer, by submatrix ring network layer, spacer layer, network layer and station control layer. The system structure is clear, favorable for expansion, and ease of integration. The risk of network fault is reduced by dividing different data network. Distributed regulation reduces the difficulty of AGC/AVC algorithm, improves the speed of regulation, and shortens the response time, which is conducive to the safe and stable operation of the power grid system after grid-connection.
Large ground photovoltaic power stations have the characteristics of large number of equipment, complex types and complex network construction, so it is difficult to establish comprehensive automation system. Combined with the structure and characteristics of large ground photovoltaic power station, the functional requirements of the integrated automation system are analyzed, and a design and implementation scheme based on distributed monitoring is proposed. The integrated automation system will be designed from bottom to top layer, by submatrix ring network layer, spacer layer, network layer and station control layer. The system structure is clear, favorable for expansion, and ease of integration. The risk of network fault is reduced by dividing different data network. Distributed regulation reduces the difficulty of AGC/AVC algorithm, improves the speed of regulation, and shortens the response time, which is conducive to the safe and stable operation of the power grid system after grid-connection.
引文
[1]刘星.光伏“领跑者”,推动行业技术创新应用[J].电气技术, 2017, 18(10):T3-T4.
[2]叶琴瑜,胡天友,秦文.光伏并网电站智能监控系统的设计与实现[J].自动化仪表, 2012, 33(5):64-66.
[3]唐明,胡勇,何霄鹏,等.大型并网光伏电站监控系统设计与实现[J].电气自动化, 2015, 37(3):49-51.
[4]王东.太阳能光伏发电技术与系统集成[M].北京:化学工业出版社, 2011.
[5]GB/T19964——2012.光伏电站接入电力系统的技术规定[S].
[6]GB/T 19939——2005.光伏系统并网技术要求[S].
[7]苟晓卫.光伏发电并网对电力系统的影响研究[J].工程建设与设计, 2018(6):50-51.
[8]辛乳江,魏勇.光伏发电并网关键技术及对策探究[J].工业技术创新, 2017(1):128-130.
[9]邓清闯,李朝锋,胡韵华.光伏电站监控系统方案设计[J].电力建设, 2013, 34(12):28-31.
[10]Q/GDW617——2011.光伏电站接入电网技术规定[S].
[11]陈健强,李婷.变电站无功补偿配置及运行分析[J].电气技术, 2017, 18(11):123-127.
[12]江锐,江涛,许蕾.光伏并入配电网的逆变器控制策略研究[J].电气技术, 2017, 18(12):81-85.
[13]屈爱艳,袁玉宝,陈洪雨,等. AGC与AVC在光伏电站的应用与实现[J].电气技术, 2016, 17(6):146-148.
[14]高阳,钟宏宇,许傲然,等.功率预测技术在光伏发电中的应用研究[J].电器与能效管理技术,2015(17):38-43, 58.
[15]杨超.榑沼弘贵.太阳能光伏发电系统发电量的预测方法[J].智能建筑电气技术, 2011, 5(2):29-34.
[16]钱振,蔡世波,顾宇庆,等.光伏发电功率预测方法研究综述[J].机电工程, 2015, 32(5):651-659.
[17]陈炜,艾欣,吴涛,等.光伏并网发电系统对电网的影响研究综述[J].电力自动化设备, 2013, 33(2):26-32, 39.
[2]叶琴瑜,胡天友,秦文.光伏并网电站智能监控系统的设计与实现[J].自动化仪表, 2012, 33(5):64-66.
[3]唐明,胡勇,何霄鹏,等.大型并网光伏电站监控系统设计与实现[J].电气自动化, 2015, 37(3):49-51.
[4]王东.太阳能光伏发电技术与系统集成[M].北京:化学工业出版社, 2011.
[5]GB/T19964——2012.光伏电站接入电力系统的技术规定[S].
[6]GB/T 19939——2005.光伏系统并网技术要求[S].
[7]苟晓卫.光伏发电并网对电力系统的影响研究[J].工程建设与设计, 2018(6):50-51.
[8]辛乳江,魏勇.光伏发电并网关键技术及对策探究[J].工业技术创新, 2017(1):128-130.
[9]邓清闯,李朝锋,胡韵华.光伏电站监控系统方案设计[J].电力建设, 2013, 34(12):28-31.
[10]Q/GDW617——2011.光伏电站接入电网技术规定[S].
[11]陈健强,李婷.变电站无功补偿配置及运行分析[J].电气技术, 2017, 18(11):123-127.
[12]江锐,江涛,许蕾.光伏并入配电网的逆变器控制策略研究[J].电气技术, 2017, 18(12):81-85.
[13]屈爱艳,袁玉宝,陈洪雨,等. AGC与AVC在光伏电站的应用与实现[J].电气技术, 2016, 17(6):146-148.
[14]高阳,钟宏宇,许傲然,等.功率预测技术在光伏发电中的应用研究[J].电器与能效管理技术,2015(17):38-43, 58.
[15]杨超.榑沼弘贵.太阳能光伏发电系统发电量的预测方法[J].智能建筑电气技术, 2011, 5(2):29-34.
[16]钱振,蔡世波,顾宇庆,等.光伏发电功率预测方法研究综述[J].机电工程, 2015, 32(5):651-659.
[17]陈炜,艾欣,吴涛,等.光伏并网发电系统对电网的影响研究综述[J].电力自动化设备, 2013, 33(2):26-32, 39.