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Performance of redox flow battery systems in Japan
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作者 Shibata Toshikazu Kumamoto Takahiro +2 位作者 Nagaoko Yoshiyuki Kawase Kazunori Yano Keiji 《储能科学与技术》 CAS 2013年第3期233-236,共4页
Renewable energies, such as solar and wind power, are increasingly being introduced as alternative energy sources on a glosbal scale toward a low-carbon society. For the next generation power network, which uses a lar... Renewable energies, such as solar and wind power, are increasingly being introduced as alternative energy sources on a glosbal scale toward a low-carbon society. For the next generation power network, which uses a large number of these distributed power generation sources, energy storage technologies will be indispensable. Among these technologies, battery energy storage technology is considered to be most viable. Sumitomo Electric Industries, Ltd. has developed a redox flow battery system suitable for large scale energy storage, and carried out several demonstration projects on the stabilization of renewable energy output using the redox flow battery system. This paper describes the advantages of the redox flow battery and reviews the demonstration projects. 展开更多
关键词 redox flow battery energy storage renewable energy smart grid wind turbine photovoltaics
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离网状态储能/燃气机分层协调频率控制策略 被引量:2
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作者 刘小龙 李欣然 +2 位作者 孟娅 陈常青 杨徉 《电工技术学报》 EI CSCD 北大核心 2023年第17期4800-4810,共11页
针对主从控制模式下的光储燃微电网离网运行频率控制问题进行研究。该文以燃气轮机作为主控制单元场景,提出基于模型预测控制(MPC)与低通滤波(LPF)算法的储能/燃气机分层协调频率控制策略。上层分钟级控制中,通过模型预测控制理论,以储... 针对主从控制模式下的光储燃微电网离网运行频率控制问题进行研究。该文以燃气轮机作为主控制单元场景,提出基于模型预测控制(MPC)与低通滤波(LPF)算法的储能/燃气机分层协调频率控制策略。上层分钟级控制中,通过模型预测控制理论,以储能荷电状态(SOC)和电源出力变化最小为目标主动地滚动调整电源出力基准,减小功率不平衡,有效地避免由于燃气机响应速度慢而导致的系统频率波动,同时,利用低通滤波算法分离高低频扰动,让燃气机承担低频大扰动,避免频繁地往复动作而损坏设备;底层秒级控制中,在上层基准出力的基础上,通过虚拟下垂和虚拟惯性控制原理动态调整储能出力,协同燃气机共同参与调频,进一步抑制系统频率波动。最后,通过仿真验证了该控制策略的有效性。 展开更多
关键词 光储燃微电网 频率控制 模型预测控制 低通滤波算法 虚拟下垂/惯性控制
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Optimal Energy Management and Techno-economic Analysis in Microgrid with Hybrid Renewable Energy Sources 被引量:4
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作者 Vallem V.V.S.N.Murty Ashwani Kumar 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2020年第5期929-940,共12页
Microgrids with hybrid renewable energy sources are increasing and it is a promising solution to electrify remote areas where distribution network expansion is not feasible or not economical.Standalone microgrids with... Microgrids with hybrid renewable energy sources are increasing and it is a promising solution to electrify remote areas where distribution network expansion is not feasible or not economical.Standalone microgrids with environment-friendly hybrid energy sources is a cost-effective solution that ensures system reliability and energy security.This paper determines the optimal capacity,energy dispatching and techno-economic benefits of standalone microgrid in remote area in Tamilnadu,India.Microgrids with hybrid energy sources comprising photovoltaic(PV),wind turbine(WT),battery energy storage system(BESS)and diesel generator(DG)are considered in this paper.Various case studies are implemented with hybrid energy sources and for each case study a comparative analysis of techno-economic benefits is demonstrated.Eight different configurations of hybrid energy sources are modeled with renewable fractions of 50%,60%,65%,and 100%,respectively.The optimization analysis is carried out using Hybrid Optimization Model for Electric Renewable(HOMER)software.Impact of demand response is also demonstrated on energy dispatching and technoeconomic benefits.Simulation results are obtained for the optimal capacity of PV,WT,DG,converter,and BESS,charging/discharging pattern,state of charge(SOC),net present cost(NPC),cost of energy(COE),initial cost,operation cost,fuel cost,greenhouse gas emission penalty and payback period considering seasonal load variation.It is observed that PV+BESS is the most economical configuration.COE in standalone microgrid is higher than the conventional grid price.The results show that CO2 emissions in hybrid PV+WT+DG+BESS are reduced by about 68%compared with the traditional isolated distribution system with DG. 展开更多
关键词 MICROGRID photovoltaic wind turbine diesel generator battery energy storage system greenhouse gas emissions cost of energy
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