Solar power is mostly influenced by solar irradiation,weather conditions,solar array mismatches and partial shading conditions.Therefore,before installing solar arrays,it is necessary to simulate and determine the pos...Solar power is mostly influenced by solar irradiation,weather conditions,solar array mismatches and partial shading conditions.Therefore,before installing solar arrays,it is necessary to simulate and determine the possible power generated.Maximum power point tracking is needed in order to make sure that,at any time,the maximum power will be extracted from the photovoltaic system.However,maximum power point tracking is not a suitable solution for mismatches and partial shading conditions.To overcome the drawbacks of maximum power point tracking due to mismatches and shadows,distributed maximum power point tracking is util-ized in this paper.The solar farm can be distributed in different ways,including one DC-DC converter per group of modules or per module.In this paper,distributed maximum power point tracking per module is implemented,which has the highest efficiency.This technology is applied to electric vehicles(EVs)that can be charged with a Level 3 charging station in<1 hour.However,the problem is that charging an EV in<1 hour puts a lot of stress on the power grid,and there is not always enough peak power reserve in the existing power grid to charge EVs at that rate.Therefore,a Level 3(fast DC)EV charging station using a solar farm by implementing distributed maximum power point tracking is utilized to address this issue.Finally,the simulation result is reported using MATLAB®,LTSPICE and the System Advisor Model.Simulation results show that the proposed 1-MW solar system will provide 5 MWh of power each day,which is enough to fully charge~120 EVs each day.Additionally,the use of the proposed photovoltaic system benefits the environment by removing a huge amount of greenhouse gases and hazardous pollutants.For example,instead of supplying EVs with power from coal-fired power plants,1989 pounds of CO_(2) will be eliminated from the air per hour.展开更多
光热发电(concentrating solar power,CSP)作为一种重要的可再生能源发电技术,通过聚光集热器、储热设备和汽轮机组等设备发电。相比光伏发电,CSP利用储热设备(thermal storage system,TSS)实现了类似传统燃汽轮机的调节性能好、爬坡能...光热发电(concentrating solar power,CSP)作为一种重要的可再生能源发电技术,通过聚光集热器、储热设备和汽轮机组等设备发电。相比光伏发电,CSP利用储热设备(thermal storage system,TSS)实现了类似传统燃汽轮机的调节性能好、爬坡能力强等出力特性,并可在夜间或无光照时段持续放热发电。因此,考虑CSP可为集中充电站提供可控、持续、稳定出力和良好的辅助服务,利用其与集中充电站联合运行,提出了考虑CSP的集中充电站有序充电策略,构建了以集中充电站日购电成本和向电网缴纳的系统负荷波动惩罚费用综合最优为目标的有序充电模型。算例表明,考虑CSP的集中充电站有序充电策略可有效降低购电成本和平抑系统负荷波动。此外,对比分析了光伏发电和CSP对运行结果的影响,对不同储热设备容量配置下的运行结果作了比较分析。展开更多
基金support of the National Science Foundation(NSF)under Award Number:2115427 is gratefully acknowledged.SRS RN:Sustainable Transportation Electrification for an Equitable and Resilient Society(STEERS).
文摘Solar power is mostly influenced by solar irradiation,weather conditions,solar array mismatches and partial shading conditions.Therefore,before installing solar arrays,it is necessary to simulate and determine the possible power generated.Maximum power point tracking is needed in order to make sure that,at any time,the maximum power will be extracted from the photovoltaic system.However,maximum power point tracking is not a suitable solution for mismatches and partial shading conditions.To overcome the drawbacks of maximum power point tracking due to mismatches and shadows,distributed maximum power point tracking is util-ized in this paper.The solar farm can be distributed in different ways,including one DC-DC converter per group of modules or per module.In this paper,distributed maximum power point tracking per module is implemented,which has the highest efficiency.This technology is applied to electric vehicles(EVs)that can be charged with a Level 3 charging station in<1 hour.However,the problem is that charging an EV in<1 hour puts a lot of stress on the power grid,and there is not always enough peak power reserve in the existing power grid to charge EVs at that rate.Therefore,a Level 3(fast DC)EV charging station using a solar farm by implementing distributed maximum power point tracking is utilized to address this issue.Finally,the simulation result is reported using MATLAB®,LTSPICE and the System Advisor Model.Simulation results show that the proposed 1-MW solar system will provide 5 MWh of power each day,which is enough to fully charge~120 EVs each day.Additionally,the use of the proposed photovoltaic system benefits the environment by removing a huge amount of greenhouse gases and hazardous pollutants.For example,instead of supplying EVs with power from coal-fired power plants,1989 pounds of CO_(2) will be eliminated from the air per hour.
文摘光热发电(concentrating solar power,CSP)作为一种重要的可再生能源发电技术,通过聚光集热器、储热设备和汽轮机组等设备发电。相比光伏发电,CSP利用储热设备(thermal storage system,TSS)实现了类似传统燃汽轮机的调节性能好、爬坡能力强等出力特性,并可在夜间或无光照时段持续放热发电。因此,考虑CSP可为集中充电站提供可控、持续、稳定出力和良好的辅助服务,利用其与集中充电站联合运行,提出了考虑CSP的集中充电站有序充电策略,构建了以集中充电站日购电成本和向电网缴纳的系统负荷波动惩罚费用综合最优为目标的有序充电模型。算例表明,考虑CSP的集中充电站有序充电策略可有效降低购电成本和平抑系统负荷波动。此外,对比分析了光伏发电和CSP对运行结果的影响,对不同储热设备容量配置下的运行结果作了比较分析。
