Solar energy from photovoltaic(PV)is among the fastest developing renewable energy systems worldwide.Driven by governmental subsidies and technological development,Europe has seen a fast expansion of solar PV in the l...Solar energy from photovoltaic(PV)is among the fastest developing renewable energy systems worldwide.Driven by governmental subsidies and technological development,Europe has seen a fast expansion of solar PV in the last few years.Among the installed PV plants,most of them are situated at the distribution systems and bring various operational challenges such as power quality and power flow management.The paper discusses the modelling requirements for PV system integration studies,as well as the possible techniques for voltage rise mitigation at low voltage(LV)grids for increasing PV penetration.Potential solutions are listed and preliminary results are presented.展开更多
Battery energy storage system(BESS)is an important component of a modern power system since it allows seamless integration of renewable energy sources(RES)into the grid.A BESS is vulnerable to various cyber threats th...Battery energy storage system(BESS)is an important component of a modern power system since it allows seamless integration of renewable energy sources(RES)into the grid.A BESS is vulnerable to various cyber threats that may influence its proper operation,which in turn impacts negatively the BESS and the electric grid.The potential failure of a BESS can cause economic issues and physical damage to its components.To ensure cyber-secure and reliable BESS operation in grid-connected or islanded modes of the BESS operation,a cyber-defense strategy is needed.However,a comprehensive review on the requirements for the BESS design as well as the attack detection and mitigation methods is lacking.In this paper,we review state-of-the-art attack detection and mitigation methods for various BESS applications focusing on machine learning(ML)and artificial intelligence(AI)-based methods.In addition,the state-of-the-art methods for designing and operating a cyber-secure BESS are investigated.Based on the literature review,we identified gaps in the current research,defined the possible cyberattacks against the BESS that have not been considered before,and suggested the potential approaches to detect them.展开更多
基金This work was supported by PVNET.dk project sponsored by Energinet.dk under the Electrical Energy Research Program(ForskEL,grant number 10698).
文摘Solar energy from photovoltaic(PV)is among the fastest developing renewable energy systems worldwide.Driven by governmental subsidies and technological development,Europe has seen a fast expansion of solar PV in the last few years.Among the installed PV plants,most of them are situated at the distribution systems and bring various operational challenges such as power quality and power flow management.The paper discusses the modelling requirements for PV system integration studies,as well as the possible techniques for voltage rise mitigation at low voltage(LV)grids for increasing PV penetration.Potential solutions are listed and preliminary results are presented.
基金This work is supported by the Danish project“BOSS:Bornholm smartgrid secured by grid connected battery systems”co-founded by Danish Energy technology Development and Demonstration program(EUDP)contract no.64018-0618.
文摘Battery energy storage system(BESS)is an important component of a modern power system since it allows seamless integration of renewable energy sources(RES)into the grid.A BESS is vulnerable to various cyber threats that may influence its proper operation,which in turn impacts negatively the BESS and the electric grid.The potential failure of a BESS can cause economic issues and physical damage to its components.To ensure cyber-secure and reliable BESS operation in grid-connected or islanded modes of the BESS operation,a cyber-defense strategy is needed.However,a comprehensive review on the requirements for the BESS design as well as the attack detection and mitigation methods is lacking.In this paper,we review state-of-the-art attack detection and mitigation methods for various BESS applications focusing on machine learning(ML)and artificial intelligence(AI)-based methods.In addition,the state-of-the-art methods for designing and operating a cyber-secure BESS are investigated.Based on the literature review,we identified gaps in the current research,defined the possible cyberattacks against the BESS that have not been considered before,and suggested the potential approaches to detect them.