The Experts below are selected from a list of 267 Experts worldwide ranked by ideXlab platform
Kory Hedman - One of the best experts on this subject based on the ideXlab platform.
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Market implications and pricing of Dynamic Reserve policies for systems with renewables
2015 IEEE Power & Energy Society General Meeting, 2015Co-Authors: Joshua Lyon, Fengyu Wang, Kory Hedman, Muhong ZhangAbstract:Summary form only given. Static Reserve policies are used within security-constrained unit commitment (SCUC) to ensure reliability. A common policy is that ten-minute Reserve must exceed the largest contingency. However, this condition does not guarantee reliability because voltage and thermal limits can hinder Reserve deliverability. Many operators use zonal Reserve markets to ensure Reserves are dispersed across the grid. Such zonal models attempt to anticipate transmission bottlenecks, which is a difficult task when the fu-ture system state is uncertain. This paper examines the market implications of Dynamic Reserve policies used to mitigate uncertainty from renewable resources and contingencies. We study the market implications of policies recently proposed in the literature, such as hourly zones within day-ahead SCUC and an algorithm that formally disqualifies Reserves that are expected to be undeliverable. A locational Reserve pricing scheme is also proposed in connection with scenario-based Reserve disqualification. Analysis on the RTS-96 test case shows that Dynamic zones and Reserve disqualification, along with the proposed compensation scheme, help direct Reserve payments toward resources that are better equipped to respond to contingencies.
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Market Implications and Pricing of Dynamic Reserve Policies for Systems With Renewables
IEEE Transactions on Power Systems, 2015Co-Authors: Joshua D. Lyon, Fengyu Wang, Kory Hedman, Muhong ZhangAbstract:Static Reserve policies are used within security-constrained unit commitment (SCUC) and security constrained economic dispatch (SCED) to ensure reliability. A common policy is that 10-min Reserve must exceed the largest contingency. However, this condition does not guarantee reliability because voltage and thermal limits can hinder Reserve deliverability. Many operators use zonal Reserve markets to ensure Reserves are dispersed across the grid. Such zonal models attempt to anticipate transmission bottlenecks, which is a difficult task when the future system state is uncertain. This paper examines the market implications of Dynamic Reserve policies used to mitigate uncertainty from renewable resources and contingencies. We study the market implications of policies recently proposed in the literature, such as hourly zones within day-ahead SCUC and an algorithm that formally disqualifies Reserves that are expected to be undeliverable. A locational Reserve pricing scheme is also proposed in connection with scenario-based Reserve disqualification. Analysis on the RTS-96 test case shows that Dynamic zones and Reserve disqualification, along with the proposed compensation scheme, help direct Reserve payments toward resources that more effectively respond to contingencies.
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Dynamic Reserve Zones for Day-Ahead Unit Commitment With Renewable Resources
IEEE Transactions on Power Systems, 2015Co-Authors: Fengyu Wang, Kory HedmanAbstract:As more non-dispatchable renewable resources are integrated into the grid, it will become increasingly difficult to predict the transfer capabilities and the network congestion. At the same time, renewable resources require operators to acquire more operating Reserves. With today's deterministic Reserve requirements unable to ensure optimal Reserve locations, improvements to Reserve policies are needed to ensure Reserve deliverability while maintaining a reliable system at least cost. This paper proposes a daily Reserve zone determination procedure, which is able to reflect system operating conditions by utilizing probabilistic power flows. A statistical clustering algorithm is used to cluster buses together to produce the zones; the algorithm uses a centrality measurement, which is based on weighted power transfer distribution factors. The proposed method is validated by testing it on a modified IEEE 118-bus system for multiple days; the proposed method is compared against existing Reserve zone partitioning procedures. While the proposed Reserve zone determination method is a heuristic, it is shown to be effective and it is a computationally tractable method. The proposed method can be used on its own and can be used along with stochastic programming techniques that implicitly determine Reserves.
B. Gosselin - One of the best experts on this subject based on the ideXlab platform.
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CMOS Optoelectronic Lock-in Amplifier with Semi-Digital Automatic Phase Alignment
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019Co-Authors: Noormohammadi M. Khiarak, S. Martel, B. GosselinAbstract:This paper presents a CMOS optoelectronic lock-in amplifier (LIA) with semi-digital automatic phase alignment for optical sensing applications. The LIA incorporates a phase sensitive detection (PSD) channel and a phase alignment channel. A phase alignment loop generates the LIA reference clock, and automatically aligns the relative phase between the reference and the input signal through a phase interpolation providing unlimited (modulo 2π) phase shift. A finite state machine (FSM) is implemented in the digital domain to control the loop with low-power consumption and small chip area. The LIA is optimized to operate at a 50-kHz modulation frequency. The LIA is fully characterized optically and electrically, and measurement results are reported in this paper. The measured Dynamic Reserve and the sensitivity of the LIA are 35.37 dB and 296 mV/μW, respectively for a detection bandwidth of 50 Hz. The proposed LIA consumes an average power of 214 μW from a 1.8/3.3-V DC power supply.
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A CMOS lock-in-amplifier with semi-digital automatic phase tuning
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2016Co-Authors: M. N. Khiarak, B. Gosselin, S. Martel, Y. De KoninckAbstract:A new low-power custom integrated lock-in amplifier (LIA) with semi-digital automatic phase tuning is presented. The proposed LIA leverages a new semi-digital phase tuning peripheral loop to automatically align the relative phase of a low-amplitude input signal of known carrier with that of a reference signal to increase sensitivity while decreasing the power consumption of the LIA compared with previous solutions. The proposed LIA is designed for a specific reference frequency of 1.024 KHz which is suitable for most biomedical fiber photometry applications. The proposed LIA is implemented in a 0.18-μm CMOS technology with power supply voltage of 1.8 V. The proposed LIA consumes 60 μW at an operating frequency of 1.024 KHz, and presents a Dynamic Reserve of 33 dB for a detection bandwidth of 100 Hz and a FOM of 1.77 nW/Hz.
Fengyu Wang - One of the best experts on this subject based on the ideXlab platform.
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Market implications and pricing of Dynamic Reserve policies for systems with renewables
2015 IEEE Power & Energy Society General Meeting, 2015Co-Authors: Joshua Lyon, Fengyu Wang, Kory Hedman, Muhong ZhangAbstract:Summary form only given. Static Reserve policies are used within security-constrained unit commitment (SCUC) to ensure reliability. A common policy is that ten-minute Reserve must exceed the largest contingency. However, this condition does not guarantee reliability because voltage and thermal limits can hinder Reserve deliverability. Many operators use zonal Reserve markets to ensure Reserves are dispersed across the grid. Such zonal models attempt to anticipate transmission bottlenecks, which is a difficult task when the fu-ture system state is uncertain. This paper examines the market implications of Dynamic Reserve policies used to mitigate uncertainty from renewable resources and contingencies. We study the market implications of policies recently proposed in the literature, such as hourly zones within day-ahead SCUC and an algorithm that formally disqualifies Reserves that are expected to be undeliverable. A locational Reserve pricing scheme is also proposed in connection with scenario-based Reserve disqualification. Analysis on the RTS-96 test case shows that Dynamic zones and Reserve disqualification, along with the proposed compensation scheme, help direct Reserve payments toward resources that are better equipped to respond to contingencies.
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Dynamic Reserve zones for day-ahead unit commitment with renewable resources
2015 IEEE Power & Energy Society General Meeting, 2015Co-Authors: Fengyu Wang, Kory HedmanAbstract:Summary form only given. As more non-dispatchable renewable resources are integrated into the grid, it will become increasingly difficult to predict the transfer capabilities and the network congestion. At the same time, renewable resources require operators to acquire more operating Reserves. With today's deterministic Reserve requirements unable to ensure optimal Reserve locations, improvements to re-serve policies are needed to ensure Reserve deliverability while maintaining a reliable system at least cost. This paper proposes a daily Reserve zone determination procedure, which is able to reflect system operating conditions by utilizing probabilistic power flows. A statistical clustering algorithm is used to cluster buses together to produce the zones; the algorithm uses a centrality measurement, which is based on weighted power transfer distribution factors. The proposed method is validated by testing it on a modified IEEE 118-bus system for multiple days; the proposed method is compared against existing Reserve zone partitioning procedures. While the proposed Reserve zone determination method is a heuristic, it is shown to be effective and it is a computationally tractable method. The proposed method can be used on its own and can be used along with stochastic programming techniques that implicitly determine Reserves.
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Market Implications and Pricing of Dynamic Reserve Policies for Systems With Renewables
IEEE Transactions on Power Systems, 2015Co-Authors: Joshua D. Lyon, Fengyu Wang, Kory Hedman, Muhong ZhangAbstract:Static Reserve policies are used within security-constrained unit commitment (SCUC) and security constrained economic dispatch (SCED) to ensure reliability. A common policy is that 10-min Reserve must exceed the largest contingency. However, this condition does not guarantee reliability because voltage and thermal limits can hinder Reserve deliverability. Many operators use zonal Reserve markets to ensure Reserves are dispersed across the grid. Such zonal models attempt to anticipate transmission bottlenecks, which is a difficult task when the future system state is uncertain. This paper examines the market implications of Dynamic Reserve policies used to mitigate uncertainty from renewable resources and contingencies. We study the market implications of policies recently proposed in the literature, such as hourly zones within day-ahead SCUC and an algorithm that formally disqualifies Reserves that are expected to be undeliverable. A locational Reserve pricing scheme is also proposed in connection with scenario-based Reserve disqualification. Analysis on the RTS-96 test case shows that Dynamic zones and Reserve disqualification, along with the proposed compensation scheme, help direct Reserve payments toward resources that more effectively respond to contingencies.
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Dynamic Reserve Zones for Day-Ahead Unit Commitment With Renewable Resources
IEEE Transactions on Power Systems, 2015Co-Authors: Fengyu Wang, Kory HedmanAbstract:As more non-dispatchable renewable resources are integrated into the grid, it will become increasingly difficult to predict the transfer capabilities and the network congestion. At the same time, renewable resources require operators to acquire more operating Reserves. With today's deterministic Reserve requirements unable to ensure optimal Reserve locations, improvements to Reserve policies are needed to ensure Reserve deliverability while maintaining a reliable system at least cost. This paper proposes a daily Reserve zone determination procedure, which is able to reflect system operating conditions by utilizing probabilistic power flows. A statistical clustering algorithm is used to cluster buses together to produce the zones; the algorithm uses a centrality measurement, which is based on weighted power transfer distribution factors. The proposed method is validated by testing it on a modified IEEE 118-bus system for multiple days; the proposed method is compared against existing Reserve zone partitioning procedures. While the proposed Reserve zone determination method is a heuristic, it is shown to be effective and it is a computationally tractable method. The proposed method can be used on its own and can be used along with stochastic programming techniques that implicitly determine Reserves.
Jong-keun Park - One of the best experts on this subject based on the ideXlab platform.
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cost analysis method for estimating Dynamic Reserve considering uncertainties in supply and demand
Energies, 2016Co-Authors: Kyung-bin Kwon, Hyeongon Park, Jong-keun ParkAbstract:The use of appropriate hourly Reserve margins can maintain power system security by balancing supply and demand in the presence of errors in the forecast demand, generation outages, or errors in the forecast of wind power generation. Because the cost of unit commitment increases with larger Reserve margins, cost analysis to determine the most economical Reserve margin is an important issue in power system operation. Here, we define the “short-term reliability of balance” and describe a method to determine the Reserve margin based on the short-term reliability of balance. We describe a case study, in which we calculate the Reserve margin using this method with various standards of short-term reliability of balance. A cost analysis is then performed to determine the most economic standard, and a comparison between our method and a conventional method is carried out. The results show that our method with an economic short-term reliability of balance enables more reliable and efficient operation of the power system. Moreover, with an hourly Reserve margin, we show that an increase in wind power generation can result in a significant decrease in the operating cost, which makes wind power generation economically viable.
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Dynamic Reserve Estimating Method with Consideration of Uncertainties in Supply and Demand
The Transactions of the Korean Institute of Electrical Engineers, 2013Co-Authors: Kyung-bin Kwon, Hyeongon Park, Jong-keun ParkAbstract:Renewable energy integration and increased system complexities make system operator maintain supply and demand balance harder than before. To keep the grid frequency in a stable range, an appropriate spinning Reserve margin should be procured with consideration of ever-changing system situation, such as demand, wind power output and generator failure. This paper propose a novel concept of Dynamic Reserve, which arrange different spinning Reserve margin depending on time. To investigate the effectiveness of the proposed Dynamic Reserve, we developed a new short-term reliability criterion that estimates the probability of a spinning Reserve shortage events, thus indicating grid frequency stability. Uncertainties of demand forecast error, wind generation forecast error and generator failure have been modeled in probabilistic terms, and the proposed spinning Reserve has been applied to generation scheduling. This approach has been tested on the modified IEEE 118-bus system with a wind farm. The results show that the required spinning Reserve margin changes depending on the system situation of demand, wind generation and generator failure. Moreover the proposed approach could be utilized even in case of system configuration change, such as wind generation extension.
S. Martel - One of the best experts on this subject based on the ideXlab platform.
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CMOS Optoelectronic Lock-in Amplifier with Semi-Digital Automatic Phase Alignment
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019Co-Authors: Noormohammadi M. Khiarak, S. Martel, B. GosselinAbstract:This paper presents a CMOS optoelectronic lock-in amplifier (LIA) with semi-digital automatic phase alignment for optical sensing applications. The LIA incorporates a phase sensitive detection (PSD) channel and a phase alignment channel. A phase alignment loop generates the LIA reference clock, and automatically aligns the relative phase between the reference and the input signal through a phase interpolation providing unlimited (modulo 2π) phase shift. A finite state machine (FSM) is implemented in the digital domain to control the loop with low-power consumption and small chip area. The LIA is optimized to operate at a 50-kHz modulation frequency. The LIA is fully characterized optically and electrically, and measurement results are reported in this paper. The measured Dynamic Reserve and the sensitivity of the LIA are 35.37 dB and 296 mV/μW, respectively for a detection bandwidth of 50 Hz. The proposed LIA consumes an average power of 214 μW from a 1.8/3.3-V DC power supply.
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A CMOS lock-in-amplifier with semi-digital automatic phase tuning
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2016Co-Authors: M. N. Khiarak, B. Gosselin, S. Martel, Y. De KoninckAbstract:A new low-power custom integrated lock-in amplifier (LIA) with semi-digital automatic phase tuning is presented. The proposed LIA leverages a new semi-digital phase tuning peripheral loop to automatically align the relative phase of a low-amplitude input signal of known carrier with that of a reference signal to increase sensitivity while decreasing the power consumption of the LIA compared with previous solutions. The proposed LIA is designed for a specific reference frequency of 1.024 KHz which is suitable for most biomedical fiber photometry applications. The proposed LIA is implemented in a 0.18-μm CMOS technology with power supply voltage of 1.8 V. The proposed LIA consumes 60 μW at an operating frequency of 1.024 KHz, and presents a Dynamic Reserve of 33 dB for a detection bandwidth of 100 Hz and a FOM of 1.77 nW/Hz.
