基于RTDS微网的混合储能优化配置研究
|
摘要
微网的混合储能容量配置问题直接关系其电能质量和经济性。基于独立光伏发电不确定的特点,针对基本粒子群算法的不足,文章提出了基于微网的混合储能改进粒子群优化算法。该方法以容量、功率为约束条件,系统全生命周期费用最小为目标,收敛速度更快、经济性更优。将改进后的粒子群算法与RTDS(实时数字仿真仪)平台相结合进行仿真,平抑了光伏发电系统直流侧输出电压,提高了电力系统的可靠性。
The capacity configuration of hybrid energy storage in microgrid is directly related to the power quality and economical efficiency. Considering the uncertainty of solar power generation and the shortcoming of particle swarm optimization(PSO), the improved PSO algorithm of hybrid storage system based on microgrid is proposed. Having the capacity and the power as the constraint conditions, the algorithm realizes the goal of lowest annual life cycle cost with faster convergence speed and better economy. The optimized algorithm is related to RTDS for model simulation, which can maintain the stability of the DC bus voltage of photovoltaic power system and thus enhance its reliability.
The capacity configuration of hybrid energy storage in microgrid is directly related to the power quality and economical efficiency. Considering the uncertainty of solar power generation and the shortcoming of particle swarm optimization(PSO), the improved PSO algorithm of hybrid storage system based on microgrid is proposed. Having the capacity and the power as the constraint conditions, the algorithm realizes the goal of lowest annual life cycle cost with faster convergence speed and better economy. The optimized algorithm is related to RTDS for model simulation, which can maintain the stability of the DC bus voltage of photovoltaic power system and thus enhance its reliability.
引文
[1] 杨新法,苏剑,吕志鹏,等.微电网技术综述[J].中国电机工程学报,2014,34(1):57-70.
[2] 苏玲,张建华,王利,等.微电网相关问题及技术研究[J].电力系统保护与控制,2010,38 (19):235-238.
[3] 武志刚,程鲁文,李玮,等.智能微网及其可靠并网研究[J].电力科学与技术学报,2012,27(4):22-27.
[4] 任洛卿,白泽洋,于昌海,等.风光储联合发电系统有功控制策略研究及工程应用[J].电力系统自动化,2014,38(7):105-110.
[5] 侯世英,房勇,孙韬,等.混合储能系统在独立光伏发电系统功率平衡中的应用[J].电网技术,2011,35(5):183-187.
[6] 田培根,肖曦,丁若星,等.自制型微电网群多元负荷储能系统容量配置方法[J].电力系统自动化,2013,37(1):168-173.
[7] 彭春华,谢鹏,詹骥文,等.基于改进细菌觅食算法的微网鲁棒经济调度[J].电网技术,2014, 38(9):2392-2398.
[8] Del Valle Y, Venayagamoorthy G K, Mohagheghi S, et al. Particle swarm optimization: basic concepts, variants and applications in power systems[J]. IEEE Trans on Evolutioary Computation, 2008, 12(2): 171-195.
[9] 居凤霞.粒子群优化算法的改进及应用[D].广州:华南理工大学,2014.
[10] 刘梦璇,王成山,郭力,等.基于多目标的独立微电网优化设计方法[J].电力系统自动化,2012,36(17):34-39.
[11] 杨珺,张建成,周阳,等.针对独立风光发电中混合储能容量优化配置研究[J].电力系统保护与控制,2013,41(4):38- 44.
[12] 杨阳,蔡旭.基于RTDS风光储微网协调控制仿真研究[J].可再生能源,2014,32(2):158-162.
[13] Tel eke S, Aldebaran M E, Huang A Q, et al. Control strategies for battery energy storage for wind farm dispatching[J]. IEEE Trans on Energy Conversion, 2009, 24(3): 725-732.
[14] 陈侃,冯琳,贾林壮,等.基于RTDS的光伏并网数字物理混合实时仿真平台设计[J] .电力系统保护与控制,2014,42(1):42- 48.
[15] 黄鑫,易映萍,范丽君.大功率光伏并网发电系统RTDS的建模与仿真[J].电力系统自动化,2014,38(22):32-37.
[16] 李春华,朱新坚.基于混合储能的光伏微网动态建模与仿真[J].电网技术,2013,37(1):39- 46.
[17] 丁明,张颖媛,等.集中控制式系统的稳态建模与运行优化[J].电力系统自动化,2009,33(24):78- 82.
[2] 苏玲,张建华,王利,等.微电网相关问题及技术研究[J].电力系统保护与控制,2010,38 (19):235-238.
[3] 武志刚,程鲁文,李玮,等.智能微网及其可靠并网研究[J].电力科学与技术学报,2012,27(4):22-27.
[4] 任洛卿,白泽洋,于昌海,等.风光储联合发电系统有功控制策略研究及工程应用[J].电力系统自动化,2014,38(7):105-110.
[5] 侯世英,房勇,孙韬,等.混合储能系统在独立光伏发电系统功率平衡中的应用[J].电网技术,2011,35(5):183-187.
[6] 田培根,肖曦,丁若星,等.自制型微电网群多元负荷储能系统容量配置方法[J].电力系统自动化,2013,37(1):168-173.
[7] 彭春华,谢鹏,詹骥文,等.基于改进细菌觅食算法的微网鲁棒经济调度[J].电网技术,2014, 38(9):2392-2398.
[8] Del Valle Y, Venayagamoorthy G K, Mohagheghi S, et al. Particle swarm optimization: basic concepts, variants and applications in power systems[J]. IEEE Trans on Evolutioary Computation, 2008, 12(2): 171-195.
[9] 居凤霞.粒子群优化算法的改进及应用[D].广州:华南理工大学,2014.
[10] 刘梦璇,王成山,郭力,等.基于多目标的独立微电网优化设计方法[J].电力系统自动化,2012,36(17):34-39.
[11] 杨珺,张建成,周阳,等.针对独立风光发电中混合储能容量优化配置研究[J].电力系统保护与控制,2013,41(4):38- 44.
[12] 杨阳,蔡旭.基于RTDS风光储微网协调控制仿真研究[J].可再生能源,2014,32(2):158-162.
[13] Tel eke S, Aldebaran M E, Huang A Q, et al. Control strategies for battery energy storage for wind farm dispatching[J]. IEEE Trans on Energy Conversion, 2009, 24(3): 725-732.
[14] 陈侃,冯琳,贾林壮,等.基于RTDS的光伏并网数字物理混合实时仿真平台设计[J] .电力系统保护与控制,2014,42(1):42- 48.
[15] 黄鑫,易映萍,范丽君.大功率光伏并网发电系统RTDS的建模与仿真[J].电力系统自动化,2014,38(22):32-37.
[16] 李春华,朱新坚.基于混合储能的光伏微网动态建模与仿真[J].电网技术,2013,37(1):39- 46.
[17] 丁明,张颖媛,等.集中控制式系统的稳态建模与运行优化[J].电力系统自动化,2009,33(24):78- 82.