特高压交直流馈入下省级电网分区优化研究
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摘要
直流大功率来电对受端电网网内常规电源的置换,导致受端电网内部分区受电比例增大,在严重故障下导致分区电网孤网后可能存在严重的频率和电压问题。为此,从系统的经济性、安全稳定性以及可靠性等多种约束条件出发,建立电网分区的综合评价指标,基于灰色关联理论的TOPSIS,从多个分层分区备选方案中选出最优的分层分区方案,通过实际电网算例验证了该方法的可行性和有效性,可为特高压交直流馈入受端电网的分区优化提供技术支撑。
The high DC power source, replacing conventional power in receiving-end grid, increases power receiving proportion of the internal partition of receiving-end power grid, and may lead to serious frequency and voltage problems in case of grid isolating caused by severe fault. In this paper, comprehensive evaluation indexes of regional power grid are established by considering economy, security, stability and reliability of the system. An optimal hierarchical partitioning scheme is chosen from multiple alternatives through TOPSIS based on grey relational theory. The feasibility and effectiveness of the proposed method are verified through an actual example of power grid, which can provide technical support for partitioning optimization of receiving-end grid with infeed of UHVAC and UHVDC transmission system.
The high DC power source, replacing conventional power in receiving-end grid, increases power receiving proportion of the internal partition of receiving-end power grid, and may lead to serious frequency and voltage problems in case of grid isolating caused by severe fault. In this paper, comprehensive evaluation indexes of regional power grid are established by considering economy, security, stability and reliability of the system. An optimal hierarchical partitioning scheme is chosen from multiple alternatives through TOPSIS based on grey relational theory. The feasibility and effectiveness of the proposed method are verified through an actual example of power grid, which can provide technical support for partitioning optimization of receiving-end grid with infeed of UHVAC and UHVDC transmission system.
引文
[1]张健铭,毕天姝,刘辉,等.孤网运行与频率稳定研究综述[J].电力系统保护与控制,2011,39(11):149-154.
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[12]李兆伟,刘福锁,李威,等.基于TOPSIS法考虑电力安全事故风险的运行规划分负荷方案优化[J].电力系统保护与控制,2013,41(21):71-77.
[13]杨帆,赵书强.智能电网的发展对大电网可靠性评估的影响[J].电网与清洁能源,2013,29(10):24-30.
[14]鲍晓慧,侯慧.电力系统可靠性评估述评[J].武汉大学学报,2008,41(4):96-101.
[15]李铭钧,王承民,欧郁强,等.全网供电可靠性指标合成研究[J].电网与清洁能源,2014,30(2):28-33.
[16]夏榆航,滕欢,姚崇固.多目标决策法在电网调度关系转移中的应用[J].电力系统及其自动化学报,2013,25(5):156-161.
[17]张健钊,陈星莺,徐石明,等.基于AHP-熵权法的工业大用户用电能效评估[J].电网与清洁能源,2017,33(1):57-63.
[18]BRYSON N,MOBOLURIN A.An action learning evaluation procedure for multiple criteria decision making problems[J].European Journal of Operational Research,2003,9(6):379-386.
[19]DENG N,YEH C H,WILLIS R J.Inter-company compar ison using modified TOPSIS with objective weight[J].Computer and Operations Research,2000,27(10):37-42.
[20]马平,游欣佩.模糊多目标决策方法在风电场选址中的应用[J].可再生能源,2013,31(11):60-65.
[2]张执超,王增平,方攀宇.基于频率和电压稳定的紧急控制策略研究[J].电力系统保护与控制,2013,41(3):149-155.
[3]常海军,霍超,李威,等.基于解列信息触发的孤立电网紧急控制方法研究[J].电力系统保护与控制,2016,44(2):27-35.
[4]张俊安,田西秦,牛铭.考虑风电场影响的地区电网孤网运行分析[J].电网与清洁能源,2011,27(4):44-48.
[5]周磊,周霞,罗凯明,等.江苏低频、低压减载与负荷联切协调配置研究[J].江苏电机工程,2012,31(4):6-8.
[6]周霞,罗凯明,李威,等.江苏分区电网低频、低压减载方案适应性分析[J].江苏电机工程,2012,31(2):5-8.
[7]吴冲,刘汉伟,董卫国,等.青藏直流联网后藏中电网安全稳定控制系统的重构[J].电网与清洁能源,2013,29(1):54-57.
[8]电力系统安全稳定导则:DL 755-2001[S].北京:中国电力出版社,2001.
[9]腾林,王刚,仇玉萍,等.安徽500 k V/220 k V电网分层分区的初步设想[J].华东电力,2006,34(11):56-59.
[10]罗轶,袁士超,张勇,等.基于分层分区的宁波电网演变趋势及现状分析[J].浙江电力,2016,35(4):12-17.
[11]徐贤,丁涛,万秋兰.限制短路电流的220 k V电网分区优化[J].电力系统自动化,2009,33(22):98-101.
[12]李兆伟,刘福锁,李威,等.基于TOPSIS法考虑电力安全事故风险的运行规划分负荷方案优化[J].电力系统保护与控制,2013,41(21):71-77.
[13]杨帆,赵书强.智能电网的发展对大电网可靠性评估的影响[J].电网与清洁能源,2013,29(10):24-30.
[14]鲍晓慧,侯慧.电力系统可靠性评估述评[J].武汉大学学报,2008,41(4):96-101.
[15]李铭钧,王承民,欧郁强,等.全网供电可靠性指标合成研究[J].电网与清洁能源,2014,30(2):28-33.
[16]夏榆航,滕欢,姚崇固.多目标决策法在电网调度关系转移中的应用[J].电力系统及其自动化学报,2013,25(5):156-161.
[17]张健钊,陈星莺,徐石明,等.基于AHP-熵权法的工业大用户用电能效评估[J].电网与清洁能源,2017,33(1):57-63.
[18]BRYSON N,MOBOLURIN A.An action learning evaluation procedure for multiple criteria decision making problems[J].European Journal of Operational Research,2003,9(6):379-386.
[19]DENG N,YEH C H,WILLIS R J.Inter-company compar ison using modified TOPSIS with objective weight[J].Computer and Operations Research,2000,27(10):37-42.
[20]马平,游欣佩.模糊多目标决策方法在风电场选址中的应用[J].可再生能源,2013,31(11):60-65.