Universal Generating Function(UGF)techniques have been applied to Multi-State System(MSS)reliability analysis,such as long term reserve expansion of power systems with high wind power penetration.However,using simple ...Universal Generating Function(UGF)techniques have been applied to Multi-State System(MSS)reliability analysis,such as long term reserve expansion of power systems with high wind power penetration.However,using simple steady-state distribution models for wind power and large generating units in reliability assessment can yield pessimistic appraisals.To more accurately assess the power system reliability,UGF techniques are extended to dynamic probabilistic simulation analysis on two aspects of modelling improvement.Firstly,a principal component analysis(PCA)combined with a hierarchal clustering algorithm is used to achieve the salient and time-varying patterns of wind power,then a sequential UGF equivalent model of wind power output is established by an apportioning method.Secondly,other than the traditional two-state models,the conventional generator UGF equivalent model is established as a four discrete-state continuous-time Markov model by Lztransform.In the construction process of such a UGF model,the state values are transformed into the integral multiples of one common factor by choosing proper common factors,thus effectively restraining the exponential growth of its state number and alleviating the explosion thereof.The method is suitable for reliability assessment with dynamic probabilistic distributed random variables.In addition,by acquiring the clustering information of wind power,the system reliability indices,such as fuel cost and CO_(2) emissions through different seasons and on different workdays,are calculated.Finally,the effectiveness of the method is verified by a modified IEEE-RTS 79 system integrated with several wind farms of historical hourly wind power data of Zhangbei wind farm in North China.展开更多
西北地区可再生能源资源与电力需求不平衡的现状,使得发展风火联合外送成为促进新能源消纳的重要举措。而风电出力的不确定性给风火联合外送的经济性、可靠性效益评估造成了困难。针对该问题,文章采用风电多状态模型,引入机组剩余容量...西北地区可再生能源资源与电力需求不平衡的现状,使得发展风火联合外送成为促进新能源消纳的重要举措。而风电出力的不确定性给风火联合外送的经济性、可靠性效益评估造成了困难。针对该问题,文章采用风电多状态模型,引入机组剩余容量的概念,提出了联合外送概率模型以模拟送端电网对受端电网的电力支援过程。结合各类型电源特点,设计了考虑风火联合外送的互联系统随机生产模拟算法框架。通过EPRI 36算例验证了所提方法的有效性,并且通过对酒泉—湖南±800 k V直流输电工程进行随机生产模拟,研究了酒泉直流对受端电网充裕度的改善、酒泉直流的环保效益以及直流输电利用小时数对酒泉直流经济性的影响。展开更多
针对风电机组出力的间歇性和波动性,提出了基于等效电量频率法(equiva1ent energy and frequency function method,EEFF)的电力系统随机生产模拟方法。将等效电量函数法(equiva1ent energy function method,EEF)与频率持续法(frequency ...针对风电机组出力的间歇性和波动性,提出了基于等效电量频率法(equiva1ent energy and frequency function method,EEFF)的电力系统随机生产模拟方法。将等效电量函数法(equiva1ent energy function method,EEF)与频率持续法(frequency and duration,FD)相结合,用来评估风电场接入对电力系统生产运行的影响。该方法在生产模拟中保留了负荷和风电机组的时变特性,除了可以得到常规算法所能得到的生产模拟结果外,还可以评估风电场对常规机组造成的开停机影响,以及与火电机组开机、暖机等因素相关的动态费用。EPRI36机组随机生产模拟结果验证了所提方法的正确性和有效性。展开更多
为了提高可中断负荷(Interruptible Load,IL)承担高峰时段市场备用的安全可靠性和经济性,构建了IL参与高峰时段市场备用的选择评估模型和电网企业效益测算模型。基于随机生产模拟方法,从安全可靠性和经济性两个层面,选取了响应时间、系...为了提高可中断负荷(Interruptible Load,IL)承担高峰时段市场备用的安全可靠性和经济性,构建了IL参与高峰时段市场备用的选择评估模型和电网企业效益测算模型。基于随机生产模拟方法,从安全可靠性和经济性两个层面,选取了响应时间、系统缺电量减少额等4个主要评选指标,利用理想点排序法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)对IL的优劣特性进行了综合评价。测算了电网企业择优购入部分IL承担高峰时段市场备用后的效益状况。算例结果表明:该选择评估模型能很好地甄别各种IL在安全可靠性和经济性方面的优劣差异,能有效提高电网的供电可靠性和经济性,从而证明了模型的科学性和有效性。展开更多
传统电力系统随机生产模拟难以准确描述负荷、风电出力和储能荷电状态(state of charge,SOC)的时序变化特性,也难以反映灵活多样的系统运行调度策略,导致生产模拟准确性欠佳。为此,提出了含风电和储能电力系统时序随机生产模拟方法。该...传统电力系统随机生产模拟难以准确描述负荷、风电出力和储能荷电状态(state of charge,SOC)的时序变化特性,也难以反映灵活多样的系统运行调度策略,导致生产模拟准确性欠佳。为此,提出了含风电和储能电力系统时序随机生产模拟方法。该方法计及了系统运行调度策略,将运行调度策略与随机生产模拟中的各机组加载顺序和储能充放电条件等对应起来,有效地描述了各种运行调度策略。为保留元件出力和负荷的时序变化特性,采用可用容量状态刻画各时刻的机组出力状态,将储能充放电分别等效为负荷和机组2部分分别计入基于时序负荷曲线的随机生产模拟中,并建立了描述储能容量状态变化的时变SOC概率分布模型。基于修改的RBTS测试系统进行分析,验证了所提方法的有效性。展开更多
基金This work was supported by the National High Technology Research and Development Program of China(863 Program)(No.2011AA05A101)National Natural Science Foundation of China(No.51177092).
文摘Universal Generating Function(UGF)techniques have been applied to Multi-State System(MSS)reliability analysis,such as long term reserve expansion of power systems with high wind power penetration.However,using simple steady-state distribution models for wind power and large generating units in reliability assessment can yield pessimistic appraisals.To more accurately assess the power system reliability,UGF techniques are extended to dynamic probabilistic simulation analysis on two aspects of modelling improvement.Firstly,a principal component analysis(PCA)combined with a hierarchal clustering algorithm is used to achieve the salient and time-varying patterns of wind power,then a sequential UGF equivalent model of wind power output is established by an apportioning method.Secondly,other than the traditional two-state models,the conventional generator UGF equivalent model is established as a four discrete-state continuous-time Markov model by Lztransform.In the construction process of such a UGF model,the state values are transformed into the integral multiples of one common factor by choosing proper common factors,thus effectively restraining the exponential growth of its state number and alleviating the explosion thereof.The method is suitable for reliability assessment with dynamic probabilistic distributed random variables.In addition,by acquiring the clustering information of wind power,the system reliability indices,such as fuel cost and CO_(2) emissions through different seasons and on different workdays,are calculated.Finally,the effectiveness of the method is verified by a modified IEEE-RTS 79 system integrated with several wind farms of historical hourly wind power data of Zhangbei wind farm in North China.
文摘西北地区可再生能源资源与电力需求不平衡的现状,使得发展风火联合外送成为促进新能源消纳的重要举措。而风电出力的不确定性给风火联合外送的经济性、可靠性效益评估造成了困难。针对该问题,文章采用风电多状态模型,引入机组剩余容量的概念,提出了联合外送概率模型以模拟送端电网对受端电网的电力支援过程。结合各类型电源特点,设计了考虑风火联合外送的互联系统随机生产模拟算法框架。通过EPRI 36算例验证了所提方法的有效性,并且通过对酒泉—湖南±800 k V直流输电工程进行随机生产模拟,研究了酒泉直流对受端电网充裕度的改善、酒泉直流的环保效益以及直流输电利用小时数对酒泉直流经济性的影响。
文摘针对风电机组出力的间歇性和波动性,提出了基于等效电量频率法(equiva1ent energy and frequency function method,EEFF)的电力系统随机生产模拟方法。将等效电量函数法(equiva1ent energy function method,EEF)与频率持续法(frequency and duration,FD)相结合,用来评估风电场接入对电力系统生产运行的影响。该方法在生产模拟中保留了负荷和风电机组的时变特性,除了可以得到常规算法所能得到的生产模拟结果外,还可以评估风电场对常规机组造成的开停机影响,以及与火电机组开机、暖机等因素相关的动态费用。EPRI36机组随机生产模拟结果验证了所提方法的正确性和有效性。
文摘为了提高可中断负荷(Interruptible Load,IL)承担高峰时段市场备用的安全可靠性和经济性,构建了IL参与高峰时段市场备用的选择评估模型和电网企业效益测算模型。基于随机生产模拟方法,从安全可靠性和经济性两个层面,选取了响应时间、系统缺电量减少额等4个主要评选指标,利用理想点排序法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)对IL的优劣特性进行了综合评价。测算了电网企业择优购入部分IL承担高峰时段市场备用后的效益状况。算例结果表明:该选择评估模型能很好地甄别各种IL在安全可靠性和经济性方面的优劣差异,能有效提高电网的供电可靠性和经济性,从而证明了模型的科学性和有效性。
文摘传统电力系统随机生产模拟难以准确描述负荷、风电出力和储能荷电状态(state of charge,SOC)的时序变化特性,也难以反映灵活多样的系统运行调度策略,导致生产模拟准确性欠佳。为此,提出了含风电和储能电力系统时序随机生产模拟方法。该方法计及了系统运行调度策略,将运行调度策略与随机生产模拟中的各机组加载顺序和储能充放电条件等对应起来,有效地描述了各种运行调度策略。为保留元件出力和负荷的时序变化特性,采用可用容量状态刻画各时刻的机组出力状态,将储能充放电分别等效为负荷和机组2部分分别计入基于时序负荷曲线的随机生产模拟中,并建立了描述储能容量状态变化的时变SOC概率分布模型。基于修改的RBTS测试系统进行分析,验证了所提方法的有效性。