计及配电网信息系统可靠性的分布式光伏优化配置方法
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摘要
由于高渗透性配电信息网的故障会对主动配电网的规划与运行产生影响,因此文章提出了一种计及配电网信息系统可靠性的分布式光伏优化配置方法。首先,在配电网运行状况对信息系统依赖程度逐步加深的情况下,分析以以太网无源光网络(EPON)为代表的配电信息网的可靠性,研究信息正常和故障两种状态下配电网模型模拟结果的准确性;然后,以配电系统的运行成本和信息系统故障影响下的分布式光伏离网率均达到最小值为双优化目标,以分布式光伏接入容量、信息作用周期为优化变量,提出了基于配电信息可靠性的配电网光伏选址定容规划方法,并利用蒙特卡洛抽样模拟信息失效模型和非支配排序的多目标遗传算法进行求解;最后,根据算例的结果验证了上述模型模拟结果的准确性,并分析了信息可靠性对光伏选址定容规划方案的影响。
This paper proposes a distribution network planning method in the context of cyber-physical system, which considers the impact of high permeability information network on power network. First, in the background of the gradual deepening of the information system dependence,the reliability of the distribution information network represented by the EPON is analyzed. The models of operation under different information state are established. Then, the planning is modeled to search for the appropriate DGs capacities and information control interval, aiming at minimizing the total costs and the rate of distributed power supply off network under the influence of information failure. After that, the combined method of Monte Carlo Simulation for fault information and NSGA for optimization solution is then performed to solve for the opti-mization scheme. Finally, the results verify the effectiveness of the proposed method.
This paper proposes a distribution network planning method in the context of cyber-physical system, which considers the impact of high permeability information network on power network. First, in the background of the gradual deepening of the information system dependence,the reliability of the distribution information network represented by the EPON is analyzed. The models of operation under different information state are established. Then, the planning is modeled to search for the appropriate DGs capacities and information control interval, aiming at minimizing the total costs and the rate of distributed power supply off network under the influence of information failure. After that, the combined method of Monte Carlo Simulation for fault information and NSGA for optimization solution is then performed to solve for the opti-mization scheme. Finally, the results verify the effectiveness of the proposed method.
引文
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[7]丁磊,刘俊勇,刘友波,等.考虑分布式发电商投资的区域配电网光伏储能容量配置[J].可再生能源,2017,35(3):374-383.
[8] Hashemi-Dezaki H, Askarian-Abyaneh H, HaeriKhiavi H. Impacts of direct cyber-power interdependencies on smart grid reliability under various penetration levels of microturbine/wind/solar distributed generations[J].Iet Generation Transmission&Distribution,2016,10(4):928-937.
[9] Wang C,Zhang T,Luo F,et al. Impacts of cyber system on microgrid operational reliability[J].IEEE Transactions on Smart Grid,2019,10(1):105-115.
[10]李蕴,李雪男,舒彬,等.配电一次网架与信息系统协同规划[J].电力建设,2015,36(11):30-37.
[11]郑毅,甘志洲,陈潋.配电网EPON通信接入与分区自治[J].电力系统自动化,2013,37(23):114-118.
[12]王志群,朱守真,周双喜,等.分布式发电对配电网电压分布的影响[J].电力系统自动化,2004,28(16):56-60.
[13]桑静静,赵庆生,何志方.光伏并网对配电网电压及网损的影响[J].可再生能源,2013,31(4):11-14.
[14]顾承红,艾芊.配电网中分布式电源最优布置[J].上海交通大学学报,2007,41(11):1896-1900.
[15] Kulmala A, Repo S, Jarventausta P. Coordinated voltage control in distribution networks including several distributed energy resources[J].IEEE Transactions on Smart Grid,2014,5(4):2010-2020.
[16] Falahati B,Fu Y,Wu L.Reliability assessment of smart grid considering direct cyber-power interdependencies[J].IEEE Transactions on Smart Grid,2012,3(3):1515-1524.
[17] Baran M E, Wu F F. Network reconfiguration in distribution systems for loss reduction and load balancing[J].IEEE Trans. on Power Delivery,1989,4(2):1401-1407.
[2]郭嘉,韩宇奇,郭创新,等.考虑监视与控制功能的电网信息物理系统可靠性评估[J].中国电机工程学报,2016,36(8):2123-2130.
[3]刘文霞,徐慧婷,陈晔,等.计及多维不确定性影响的配电信息物理系统优化规划方法[J].中国电机工程学报,2017,37(24):7205-7215,7434.
[4]付丽伟,王守相,张永武,等.多类型分布式电源在配电网中的优化配置[J].电网技术,2012,36(1):79-84.
[5]刘健,黄炜.分布式光伏电源与负荷分布接近条件下的可接入容量分析[J].电网技术,2015,39(2):299-306.
[6]刘文霞,徐慧婷.考虑电压控制成本的分布式电源优化配置[J].电网技术,2016,40(10):2998-3005.
[7]丁磊,刘俊勇,刘友波,等.考虑分布式发电商投资的区域配电网光伏储能容量配置[J].可再生能源,2017,35(3):374-383.
[8] Hashemi-Dezaki H, Askarian-Abyaneh H, HaeriKhiavi H. Impacts of direct cyber-power interdependencies on smart grid reliability under various penetration levels of microturbine/wind/solar distributed generations[J].Iet Generation Transmission&Distribution,2016,10(4):928-937.
[9] Wang C,Zhang T,Luo F,et al. Impacts of cyber system on microgrid operational reliability[J].IEEE Transactions on Smart Grid,2019,10(1):105-115.
[10]李蕴,李雪男,舒彬,等.配电一次网架与信息系统协同规划[J].电力建设,2015,36(11):30-37.
[11]郑毅,甘志洲,陈潋.配电网EPON通信接入与分区自治[J].电力系统自动化,2013,37(23):114-118.
[12]王志群,朱守真,周双喜,等.分布式发电对配电网电压分布的影响[J].电力系统自动化,2004,28(16):56-60.
[13]桑静静,赵庆生,何志方.光伏并网对配电网电压及网损的影响[J].可再生能源,2013,31(4):11-14.
[14]顾承红,艾芊.配电网中分布式电源最优布置[J].上海交通大学学报,2007,41(11):1896-1900.
[15] Kulmala A, Repo S, Jarventausta P. Coordinated voltage control in distribution networks including several distributed energy resources[J].IEEE Transactions on Smart Grid,2014,5(4):2010-2020.
[16] Falahati B,Fu Y,Wu L.Reliability assessment of smart grid considering direct cyber-power interdependencies[J].IEEE Transactions on Smart Grid,2012,3(3):1515-1524.
[17] Baran M E, Wu F F. Network reconfiguration in distribution systems for loss reduction and load balancing[J].IEEE Trans. on Power Delivery,1989,4(2):1401-1407.