针对光伏发电系统对非隔离逆变电路的需求,提出构成一类中点钳位非隔离全桥光伏并网逆变器的2种基本开关单元:中点钳位正单元(positive-neutral point clamped cell,P-NPCC)和中点钳位负单元(negative-neutral point clampedc ell,N-NP...针对光伏发电系统对非隔离逆变电路的需求,提出构成一类中点钳位非隔离全桥光伏并网逆变器的2种基本开关单元:中点钳位正单元(positive-neutral point clamped cell,P-NPCC)和中点钳位负单元(negative-neutral point clampedc ell,N-NPCC)。提出由2种基本单元构造中点钳位全桥逆变器拓扑的生成机理和推演方法,按照该方法可以得到现有的中点钳位非隔离全桥光伏并网逆变器拓扑,如oH5、FB-DCBP以及一族新的中点钳位非隔离全桥并网逆变器拓扑。以所提PN-NPC拓扑为例详细分析了其工作原理,并实验比较了PN-NPC和Heric拓扑的变换效率和共模特性。所提拓扑的共模电压为恒定值,且其变换效率和共模特性均优于Heric拓扑。展开更多
The objective of this paper is to model a hybrid power system for buildings,which is technically feasible and economically optimal.With a view to promote renewable energy sources,photovoltaics and wind turbines are in...The objective of this paper is to model a hybrid power system for buildings,which is technically feasible and economically optimal.With a view to promote renewable energy sources,photovoltaics and wind turbines are integrated with the grid connected building.The system is modeled and the optimal system configuration is estimated with the help of hybrid optimization model for electric renewables(HOMER).The logic is illustrated with a case study based on the practical data of a building located in southern India.This building is associated with 3.4 MWh/day priority load(peak load as 422 kW),as well as 3.3 MWh/day deferrable load(peak load as 500 kW).Sensitivity analysis is performed to deal with uncertainties such as the increase in electricity consumption and grid tariff,environmental changes,etc.From the simulation result,it is observed that the designed system is cost effective and environment friendly,which leads to 6.18%annual cost savings and reduces CO_(2) emissions by 38.3%.Sensitivity results indicate that the system is optimal and adaptable in a certain range of unanticipated variances with respect to best estimated value.Finally,an energy management strategy is developed for the optimal system to ensure reliable power during contingency and disturbances.The green and hybrid power system designed can be adaptable to any critical and large consumers of urban buildings.展开更多
The coordinated control of multiple-sources including wind,photovoltaic(PV)and storage brings new challenges to traditional dispatch and control technologies.This paper firstly introduces a framework of wind,PV and st...The coordinated control of multiple-sources including wind,photovoltaic(PV)and storage brings new challenges to traditional dispatch and control technologies.This paper firstly introduces a framework of wind,PV and storage co-generation monitoring system.Then,key technologies of co-generation monitoring system including day-ahead optimal dispatching,active power coordinated control and reactive power and voltage control are proposed.The framework and the techniques described in this paper have been applied in the National Wind,Photovoltaic,Storage and Transmission Demonstration Project of China,and their validity have been tested and verified.展开更多
衡量光伏发电的置信容量是大规模光伏电站接入电网时需要考虑的问题之一。以光伏发电接入后系统可以减少的发电容量来评估光伏发电的置信容量,建立了考虑不同天气类型概率、最大辐射强度、云遮波动以及温度系数波动的年光伏出力波动模...衡量光伏发电的置信容量是大规模光伏电站接入电网时需要考虑的问题之一。以光伏发电接入后系统可以减少的发电容量来评估光伏发电的置信容量,建立了考虑不同天气类型概率、最大辐射强度、云遮波动以及温度系数波动的年光伏出力波动模型。提出了基于序贯蒙特卡罗仿真的电力系统发电可靠性的计算方法,并以光伏发电接入前后的系统电力不足期望(loss of load expectation,LOLE)为基础,建立了目标函数,并用粒子群优化算法搜索光伏发电接入后系统的常规机组组合,使系统的可靠性水平与光伏发电接入前保持一致。某标准算例的仿真计算验证了上述模型和方法的正确性和有效性。展开更多
在局部阴影条件下,常规的最大功率点跟踪MPPT(maximum power point tracking)算法因含有容易陷入局部极值、跟踪精度低等弊端,使其无法及时、精确地跟踪光伏发电系统的最大功率点,因此,提出了一种基于改进型鲸鱼优化算法的光伏发电系统M...在局部阴影条件下,常规的最大功率点跟踪MPPT(maximum power point tracking)算法因含有容易陷入局部极值、跟踪精度低等弊端,使其无法及时、精确地跟踪光伏发电系统的最大功率点,因此,提出了一种基于改进型鲸鱼优化算法的光伏发电系统MPPT控制策略。首先,采用混沌映射初始化种群,增加种群的多样性。其次,通过引入非线性收敛因子使局部寻优能力和全局搜索能力达到均衡。最后,通过引入非线性时变的自适应权重使系统及时跳出局部最优解,并提高搜索的精度。经仿真验证,与粒子群优化算法、狮群优化算法、传统的鲸鱼优化算法等相比,改进的鲸鱼算法在跟踪速度、精度、稳定性等方面均有更显著的效果。展开更多
In order to develop predictive control algorithms for efficient energy management and monitoring for residential grid connected photovoltaic systems, accurate and reliable photovoltaic(PV) power forecasts are required...In order to develop predictive control algorithms for efficient energy management and monitoring for residential grid connected photovoltaic systems, accurate and reliable photovoltaic(PV) power forecasts are required.A PV yield prediction system is presented based on an irradiance forecast model and a PV model. The PV power forecast is obtained from the irradiance forecast using the PV model. The proposed irradiance forecast model is based on multiple feed-forward neural networks. The global horizontal irradiance forecast has a mean absolute percentage error of 3.4% on a sunny day and 23% on a cloudy day for Stuttgart. PV power forecasts based on the neural network irradiance forecast have performed much better than the PV power persistence forecast model.展开更多
文摘针对光伏发电系统对非隔离逆变电路的需求,提出构成一类中点钳位非隔离全桥光伏并网逆变器的2种基本开关单元:中点钳位正单元(positive-neutral point clamped cell,P-NPCC)和中点钳位负单元(negative-neutral point clampedc ell,N-NPCC)。提出由2种基本单元构造中点钳位全桥逆变器拓扑的生成机理和推演方法,按照该方法可以得到现有的中点钳位非隔离全桥光伏并网逆变器拓扑,如oH5、FB-DCBP以及一族新的中点钳位非隔离全桥并网逆变器拓扑。以所提PN-NPC拓扑为例详细分析了其工作原理,并实验比较了PN-NPC和Heric拓扑的变换效率和共模特性。所提拓扑的共模电压为恒定值,且其变换效率和共模特性均优于Heric拓扑。
文摘The objective of this paper is to model a hybrid power system for buildings,which is technically feasible and economically optimal.With a view to promote renewable energy sources,photovoltaics and wind turbines are integrated with the grid connected building.The system is modeled and the optimal system configuration is estimated with the help of hybrid optimization model for electric renewables(HOMER).The logic is illustrated with a case study based on the practical data of a building located in southern India.This building is associated with 3.4 MWh/day priority load(peak load as 422 kW),as well as 3.3 MWh/day deferrable load(peak load as 500 kW).Sensitivity analysis is performed to deal with uncertainties such as the increase in electricity consumption and grid tariff,environmental changes,etc.From the simulation result,it is observed that the designed system is cost effective and environment friendly,which leads to 6.18%annual cost savings and reduces CO_(2) emissions by 38.3%.Sensitivity results indicate that the system is optimal and adaptable in a certain range of unanticipated variances with respect to best estimated value.Finally,an energy management strategy is developed for the optimal system to ensure reliable power during contingency and disturbances.The green and hybrid power system designed can be adaptable to any critical and large consumers of urban buildings.
文摘The coordinated control of multiple-sources including wind,photovoltaic(PV)and storage brings new challenges to traditional dispatch and control technologies.This paper firstly introduces a framework of wind,PV and storage co-generation monitoring system.Then,key technologies of co-generation monitoring system including day-ahead optimal dispatching,active power coordinated control and reactive power and voltage control are proposed.The framework and the techniques described in this paper have been applied in the National Wind,Photovoltaic,Storage and Transmission Demonstration Project of China,and their validity have been tested and verified.
文摘衡量光伏发电的置信容量是大规模光伏电站接入电网时需要考虑的问题之一。以光伏发电接入后系统可以减少的发电容量来评估光伏发电的置信容量,建立了考虑不同天气类型概率、最大辐射强度、云遮波动以及温度系数波动的年光伏出力波动模型。提出了基于序贯蒙特卡罗仿真的电力系统发电可靠性的计算方法,并以光伏发电接入前后的系统电力不足期望(loss of load expectation,LOLE)为基础,建立了目标函数,并用粒子群优化算法搜索光伏发电接入后系统的常规机组组合,使系统的可靠性水平与光伏发电接入前保持一致。某标准算例的仿真计算验证了上述模型和方法的正确性和有效性。
文摘提出了一种新颖的强升压能力的单级三相电压型准Z源光伏(photovoltaic,PV)并网逆变器,并对这种逆变器的电路拓扑、改进的空间矢量脉宽调制(space vector pulse width modulation,SVPWM)控制策略和低频工作模式、高频开关过程、外特性等稳态原理特性进行了深入研究,获得了重要结论和电压传输比表达式。该电路拓扑是由大升压比准Z源阻抗网络、三相逆变桥和三相LCL滤波器构成,该改进的SVPWM控制策略为大升压比阻抗网络储能电容电压控制和光伏电池最大功率跟踪(maximum power point tracking,MPPT)外环并网电流内环控制。实验结果验证了采用改进SVPWM控制策略的准Z源逆变器的实际性能。所提出的准Z源逆变器为实现低输入电压或宽变化范围输入电压的新能源并网发电提供了一种有效方法。
文摘在局部阴影条件下,常规的最大功率点跟踪MPPT(maximum power point tracking)算法因含有容易陷入局部极值、跟踪精度低等弊端,使其无法及时、精确地跟踪光伏发电系统的最大功率点,因此,提出了一种基于改进型鲸鱼优化算法的光伏发电系统MPPT控制策略。首先,采用混沌映射初始化种群,增加种群的多样性。其次,通过引入非线性收敛因子使局部寻优能力和全局搜索能力达到均衡。最后,通过引入非线性时变的自适应权重使系统及时跳出局部最优解,并提高搜索的精度。经仿真验证,与粒子群优化算法、狮群优化算法、传统的鲸鱼优化算法等相比,改进的鲸鱼算法在跟踪速度、精度、稳定性等方面均有更显著的效果。
文摘In order to develop predictive control algorithms for efficient energy management and monitoring for residential grid connected photovoltaic systems, accurate and reliable photovoltaic(PV) power forecasts are required.A PV yield prediction system is presented based on an irradiance forecast model and a PV model. The PV power forecast is obtained from the irradiance forecast using the PV model. The proposed irradiance forecast model is based on multiple feed-forward neural networks. The global horizontal irradiance forecast has a mean absolute percentage error of 3.4% on a sunny day and 23% on a cloudy day for Stuttgart. PV power forecasts based on the neural network irradiance forecast have performed much better than the PV power persistence forecast model.
