Electric system planning with high variable renewable energy(VRE)penetration levels has attracted great attention world-wide.Electricity production of VRE highly depends on the weather conditions and thus involves lar...Electric system planning with high variable renewable energy(VRE)penetration levels has attracted great attention world-wide.Electricity production of VRE highly depends on the weather conditions and thus involves large variability,uncertainty,and low-capacity credit.This gives rise to significant challenges for power system planning.Currently,many solutions are proposed to address the issue of operational flexibility inadequacy,including flexibility retrofit of thermal units,inter-regional transmission,electricity energy storage,and demand response(DR).Evidently,the performance and the cost of various solutions are different.It is relevant to explore the optimal portfolio to satisfy the flexibility requirement for a renewable dominated system and the role of each flexibility source.In this study,the value of diverse DR flexibilities was examined and a stochastic investment planning model considering DR is proposed.Two types of DRs,namely interrupted DR and transferred DR,were modeled.Chronological load and renewable generation curves with 8760 hours within a whole year were reduced to 4 weekly scenarios to accelerate the optimization.Clustered unit commitment constraints for accommodating variability of renewables were incorporated.Case studies based on IEEE RTS-96 system are reported to demonstrate the effectiveness of the proposed method and the DR potential to avoid energy storage investment.展开更多
Renewable portfolio targets have been established in many regions around the world. Regional targets such as 20% renewable energy by year 2020 are not uncommon. As the levels of wind power penetration increase, there ...Renewable portfolio targets have been established in many regions around the world. Regional targets such as 20% renewable energy by year 2020 are not uncommon. As the levels of wind power penetration increase, there are many power system impacts. This work investigated possible challenges and technical requirements for high penetration of wind power systems. The main issues to discuss covers reserve determination, wind power forecasting, unit commitment with appropriate generation portfolio, wind turbine and storage system technical development, demand response management, electricity market design, and frequency stability.展开更多
Power systems are moving toward a low-carbon or carbon-neutral future where high penetration of renewables is expected.With conventional fossil-fueled synchronous generators in the transmission network being replaced ...Power systems are moving toward a low-carbon or carbon-neutral future where high penetration of renewables is expected.With conventional fossil-fueled synchronous generators in the transmission network being replaced by renewable energy generation which is highly distributed across the entire grid,new challenges are emerging to the control and stability of large-scale power systems.New analysis and control methods are needed for power systems to cope with the ongoing transformation.In the CSEE JPES forum,six leading experts were invited to deliver keynote speeches,and the participating researchers and professionals had extensive exchanges and discussions on the control and stability of power systems.Specifically,potential changes and challenges of power systems with high penetration of renewable energy generation were introduced and explained,and advanced control methods were proposed and analyzed for the transient stability enhancement of power grids.展开更多
The high renewable penetrated power system has severe frequency regulation problems.Distributed resources can provide frequency regulation services but are limited by com-munication time delay.This paper proposes a co...The high renewable penetrated power system has severe frequency regulation problems.Distributed resources can provide frequency regulation services but are limited by com-munication time delay.This paper proposes a communication resources allocation model to reduce communication time delay in frequency regulation service.Communication device resources and wireless spectrum resources are allocated to distributed resources when they participate in frequency regulation.We reveal impact of communication resources allocation on time delay reduction and frequency regulation performance.Besides,we study communication resources allocation solution in high renewable energy penetrated power systems.We provide a case study based on the HRP-38 system.Results show communication time delay decreases distributed resources'ability to provide frequency regulation service.On the other hand,allocating more communication resources to distributed resources'communica-tion services improves their frequency regulation performance.For power systems with renewable energy penetration above 70%,required communications resources are about five times as many as 30%renewable energy penetrated power systems to keep frequency performance the same.Index Terms-Communication resources allocation,commun-ication time delay,distributed resource,frequency regulation,high renewable energy penetrated power system.展开更多
随着新能源(renewable energy sources,RES)在一些电网占比较高超过20%,电网运行遇到一系列困难与挑战,迫切需要挖掘新能源发电,尤其是以绝缘栅双极晶体管(insulated gate bipolar transistor,IGBT)逆变器接入电网的光伏发电系统自...随着新能源(renewable energy sources,RES)在一些电网占比较高超过20%,电网运行遇到一系列困难与挑战,迫切需要挖掘新能源发电,尤其是以绝缘栅双极晶体管(insulated gate bipolar transistor,IGBT)逆变器接入电网的光伏发电系统自身的调节潜力,使之具备快速功率调控响应能力,支持系统一次调频/调压等服务。在此背景下,该文提出一种针对新能源尤其是光伏发电的系统级快速功率调控方案,其目标是实现新能源尤其是光伏电站达到全网系统级百毫秒内的快速升/降功率响应速度。该文提出已有电网安全稳定控制系统的升级改造方案,针对光伏电站能够以调代切,并实现光伏电站发电功率的双向快速连续调节;设计站级专用的新能源快速功率控制装置;提出逆变器跨越式最大功率点跟踪(maximum power point tracking,MPPT)算法等技术并设计满足逆变器快速响应要求的一体化逆变器功率控制平台。该方案已在中国西藏电网得到应用,经现场实际测试结果:光伏站内功率控制响应时间在30ms以内,全系统功率控制响应时间在60ms以内,达到小于100ms的设计目标。试验和运行结果验证了该技术的有效性和先进性。展开更多
新型电力系统的高比例可再生能源、高比例电力电子设备特性给电力系统分析与决策带来巨大挑战。以深度学习(deep learning,DL)为代表的数据驱动技术擅长应对大规模高维非线性数据建模问题,在电力系统分析与决策的应用愈发受到业界的关...新型电力系统的高比例可再生能源、高比例电力电子设备特性给电力系统分析与决策带来巨大挑战。以深度学习(deep learning,DL)为代表的数据驱动技术擅长应对大规模高维非线性数据建模问题,在电力系统分析与决策的应用愈发受到业界的关注。作为近年来的热门分支之一,图深度学习(graph deep learning,GDL)将DL技术拓展到了不规则拓扑关联数据的处理,加快DL技术实用化的步伐。该文对电力系统分析与决策各领域的任务需求、DL应用现状做了简要归纳,结合GDL的发展脉络与前沿热点技术,全面总结GDL在电力系统分析与决策应用优势与不足,围绕通用性/迁移性、可靠性以及可解释性等方面探讨GDL框架的未来发展思路。展开更多
基金jointly supported by Youth Program of National Natural Science Foundation of China(No.51907100)Technical Program of Global Energy Interconnection Group Co.,Ltd(No.1100/2020-75001B)
文摘Electric system planning with high variable renewable energy(VRE)penetration levels has attracted great attention world-wide.Electricity production of VRE highly depends on the weather conditions and thus involves large variability,uncertainty,and low-capacity credit.This gives rise to significant challenges for power system planning.Currently,many solutions are proposed to address the issue of operational flexibility inadequacy,including flexibility retrofit of thermal units,inter-regional transmission,electricity energy storage,and demand response(DR).Evidently,the performance and the cost of various solutions are different.It is relevant to explore the optimal portfolio to satisfy the flexibility requirement for a renewable dominated system and the role of each flexibility source.In this study,the value of diverse DR flexibilities was examined and a stochastic investment planning model considering DR is proposed.Two types of DRs,namely interrupted DR and transferred DR,were modeled.Chronological load and renewable generation curves with 8760 hours within a whole year were reduced to 4 weekly scenarios to accelerate the optimization.Clustered unit commitment constraints for accommodating variability of renewables were incorporated.Case studies based on IEEE RTS-96 system are reported to demonstrate the effectiveness of the proposed method and the DR potential to avoid energy storage investment.
文摘Renewable portfolio targets have been established in many regions around the world. Regional targets such as 20% renewable energy by year 2020 are not uncommon. As the levels of wind power penetration increase, there are many power system impacts. This work investigated possible challenges and technical requirements for high penetration of wind power systems. The main issues to discuss covers reserve determination, wind power forecasting, unit commitment with appropriate generation portfolio, wind turbine and storage system technical development, demand response management, electricity market design, and frequency stability.
文摘Power systems are moving toward a low-carbon or carbon-neutral future where high penetration of renewables is expected.With conventional fossil-fueled synchronous generators in the transmission network being replaced by renewable energy generation which is highly distributed across the entire grid,new challenges are emerging to the control and stability of large-scale power systems.New analysis and control methods are needed for power systems to cope with the ongoing transformation.In the CSEE JPES forum,six leading experts were invited to deliver keynote speeches,and the participating researchers and professionals had extensive exchanges and discussions on the control and stability of power systems.Specifically,potential changes and challenges of power systems with high penetration of renewable energy generation were introduced and explained,and advanced control methods were proposed and analyzed for the transient stability enhancement of power grids.
基金supported in part by the National Key R&D Program of China(No.2021YFB2401200)the National Natural Science Foundation of China Enterprise Innovation and Development Joint Fund(No.U21B2002).
文摘The high renewable penetrated power system has severe frequency regulation problems.Distributed resources can provide frequency regulation services but are limited by com-munication time delay.This paper proposes a communication resources allocation model to reduce communication time delay in frequency regulation service.Communication device resources and wireless spectrum resources are allocated to distributed resources when they participate in frequency regulation.We reveal impact of communication resources allocation on time delay reduction and frequency regulation performance.Besides,we study communication resources allocation solution in high renewable energy penetrated power systems.We provide a case study based on the HRP-38 system.Results show communication time delay decreases distributed resources'ability to provide frequency regulation service.On the other hand,allocating more communication resources to distributed resources'communica-tion services improves their frequency regulation performance.For power systems with renewable energy penetration above 70%,required communications resources are about five times as many as 30%renewable energy penetrated power systems to keep frequency performance the same.Index Terms-Communication resources allocation,commun-ication time delay,distributed resource,frequency regulation,high renewable energy penetrated power system.
文摘随着新能源(renewable energy sources,RES)在一些电网占比较高超过20%,电网运行遇到一系列困难与挑战,迫切需要挖掘新能源发电,尤其是以绝缘栅双极晶体管(insulated gate bipolar transistor,IGBT)逆变器接入电网的光伏发电系统自身的调节潜力,使之具备快速功率调控响应能力,支持系统一次调频/调压等服务。在此背景下,该文提出一种针对新能源尤其是光伏发电的系统级快速功率调控方案,其目标是实现新能源尤其是光伏电站达到全网系统级百毫秒内的快速升/降功率响应速度。该文提出已有电网安全稳定控制系统的升级改造方案,针对光伏电站能够以调代切,并实现光伏电站发电功率的双向快速连续调节;设计站级专用的新能源快速功率控制装置;提出逆变器跨越式最大功率点跟踪(maximum power point tracking,MPPT)算法等技术并设计满足逆变器快速响应要求的一体化逆变器功率控制平台。该方案已在中国西藏电网得到应用,经现场实际测试结果:光伏站内功率控制响应时间在30ms以内,全系统功率控制响应时间在60ms以内,达到小于100ms的设计目标。试验和运行结果验证了该技术的有效性和先进性。
文摘新型电力系统的高比例可再生能源、高比例电力电子设备特性给电力系统分析与决策带来巨大挑战。以深度学习(deep learning,DL)为代表的数据驱动技术擅长应对大规模高维非线性数据建模问题,在电力系统分析与决策的应用愈发受到业界的关注。作为近年来的热门分支之一,图深度学习(graph deep learning,GDL)将DL技术拓展到了不规则拓扑关联数据的处理,加快DL技术实用化的步伐。该文对电力系统分析与决策各领域的任务需求、DL应用现状做了简要归纳,结合GDL的发展脉络与前沿热点技术,全面总结GDL在电力系统分析与决策应用优势与不足,围绕通用性/迁移性、可靠性以及可解释性等方面探讨GDL框架的未来发展思路。