The Experts below are selected from a list of 139719 Experts worldwide ranked by ideXlab platform
Keith R. Godfrey - One of the best experts on this subject based on the ideXlab platform.
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Electricity Market Equilibrium of nonlinear power systems with reactive power control
Electric Power Systems Research, 2010Co-Authors: A.g. Petoussis, Xiao-ping Zhang, S.g. Petoussis, Keith R. GodfreyAbstract:The impact of reactive power control on the electricity Market Equilibrium is investigated. The effects of limitations on the reactive power generation and absorption, and load power factor adjustments, are examined using a novel electricity Market Equilibrium model that solves large-scale nonlinear power systems with asymmetric strategic firms. The algorithm implemented employs the linear supply function theory for bid-based pool Markets. AC power flow analysis is used to represent the electricity network, incorporating variable price-responsive active and reactive load demands. The significance of the reactive power modeling in the electricity Market Equilibrium is demonstrated using the IEEE 14-bus and IEEE 118-bus systems. It is shown that variations on the reactive power in the system result in different Market outcomes, as incentives are given to the strategic generating firms to alter their bidding strategies. The convergence characteristics of the IEEE 118-bus system are graphically presented and discussed to demonstrate the superior computational performance of the proposed algorithm in producing results under strict binding constraints and heavy transmission congestion conditions.
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Impact of the Transformer Tap-Ratio Control on the Electricity Market Equilibrium
IEEE Transactions on Power Systems, 2008Co-Authors: Savvas G. Petoussis, Xiao-ping Zhang, Andreas G. Petoussis, Keith R. GodfreyAbstract:In this paper, the primal-dual nonlinear interior point method has been used as a basis for the derivation of a novel supply function Equilibrium (SFE) algorithm for modeling the strategic interactions in the electricity Market, using the ac network model, which incorporates modeling of the transformer tap-ratio control. The algorithm is used to investigate the impact of transformer tap-ratio control on the electricity Market Equilibrium and the effect of the interactions between network constraints and transformer tap-ratio control. The interior point social welfare optimization problem is combined with the optimization problem for maximizing the profit of each strategic generating firm in the Market. The final combined single-level SFE problem is solved iteratively based on solution techniques of the interior point method. Numerical examples illustrate the effect of network constraints and especially the impact of transformer tap-ratio control on Market Equilibrium.
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The Impact of Reactive Power on the Electricity Market Equilibrium
2006 IEEE PES Power Systems Conference and Exposition, 2006Co-Authors: S.g. Petoussis, Xiao-ping Zhang, A.g. Petoussis, Keith R. GodfreyAbstract:This paper investigates the impact of reactive power on the electricity Market Equilibrium. The analysis is performed using an interior point algorithm based on the AC network model for determining the Nash supply function Equilibrium (SFE) of bid-based electricity Markets. The effect of reactive power is examined using two different voltage regulation control modes at the generation buses. The generator bus voltages, in the first mode, can be optimized within the limits 0.95-1.05 p.u., whereas in the second mode they are controlled to a given value of 1.0 p.u. Further tests were performed using the second control mode but setting the load power factor to different values between 0.7-1.0 for different reactive power demand. The numerical results confirm that the reactive power has a significant impact on the electricity Market Equilibrium affecting nodal prices, social welfare and individual profits of the generating firms
Xiao-ping Zhang - One of the best experts on this subject based on the ideXlab platform.
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Restructured Electric Power Systems - Electricity Market Equilibrium with Reactive Power Control
Restructured Electric Power Systems, 2010Co-Authors: Xiao-ping ZhangAbstract:This chapter contains sections titled: Introduction AC Power Flow Model in the Rectangular Coordinates Electricity Market Analysis Using AC Optimal Power Flow in the Rectangular Coordinates Electricity Market Equilibrium Analysis Computing the Electricity Market Equilibrium with AC Network Model Implementation Issues of Electricity Market Equilibrium Analysis with AC Network Model Numerical Examples Conclusions Appendix Acknowledgments References
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Electricity Market Equilibrium of nonlinear power systems with reactive power control
Electric Power Systems Research, 2010Co-Authors: A.g. Petoussis, Xiao-ping Zhang, S.g. Petoussis, Keith R. GodfreyAbstract:The impact of reactive power control on the electricity Market Equilibrium is investigated. The effects of limitations on the reactive power generation and absorption, and load power factor adjustments, are examined using a novel electricity Market Equilibrium model that solves large-scale nonlinear power systems with asymmetric strategic firms. The algorithm implemented employs the linear supply function theory for bid-based pool Markets. AC power flow analysis is used to represent the electricity network, incorporating variable price-responsive active and reactive load demands. The significance of the reactive power modeling in the electricity Market Equilibrium is demonstrated using the IEEE 14-bus and IEEE 118-bus systems. It is shown that variations on the reactive power in the system result in different Market outcomes, as incentives are given to the strategic generating firms to alter their bidding strategies. The convergence characteristics of the IEEE 118-bus system are graphically presented and discussed to demonstrate the superior computational performance of the proposed algorithm in producing results under strict binding constraints and heavy transmission congestion conditions.
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Impact of the Transformer Tap-Ratio Control on the Electricity Market Equilibrium
IEEE Transactions on Power Systems, 2008Co-Authors: Savvas G. Petoussis, Xiao-ping Zhang, Andreas G. Petoussis, Keith R. GodfreyAbstract:In this paper, the primal-dual nonlinear interior point method has been used as a basis for the derivation of a novel supply function Equilibrium (SFE) algorithm for modeling the strategic interactions in the electricity Market, using the ac network model, which incorporates modeling of the transformer tap-ratio control. The algorithm is used to investigate the impact of transformer tap-ratio control on the electricity Market Equilibrium and the effect of the interactions between network constraints and transformer tap-ratio control. The interior point social welfare optimization problem is combined with the optimization problem for maximizing the profit of each strategic generating firm in the Market. The final combined single-level SFE problem is solved iteratively based on solution techniques of the interior point method. Numerical examples illustrate the effect of network constraints and especially the impact of transformer tap-ratio control on Market Equilibrium.
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The Impact of Reactive Power on the Electricity Market Equilibrium
2006 IEEE PES Power Systems Conference and Exposition, 2006Co-Authors: S.g. Petoussis, Xiao-ping Zhang, A.g. Petoussis, Keith R. GodfreyAbstract:This paper investigates the impact of reactive power on the electricity Market Equilibrium. The analysis is performed using an interior point algorithm based on the AC network model for determining the Nash supply function Equilibrium (SFE) of bid-based electricity Markets. The effect of reactive power is examined using two different voltage regulation control modes at the generation buses. The generator bus voltages, in the first mode, can be optimized within the limits 0.95-1.05 p.u., whereas in the second mode they are controlled to a given value of 1.0 p.u. Further tests were performed using the second control mode but setting the load power factor to different values between 0.7-1.0 for different reactive power demand. The numerical results confirm that the reactive power has a significant impact on the electricity Market Equilibrium affecting nodal prices, social welfare and individual profits of the generating firms
Tie Luo - One of the best experts on this subject based on the ideXlab platform.
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Quality of Contributed Service and Market Equilibrium for Participatory Sensing
IEEE Transactions on Mobile Computing, 2015Co-Authors: Chen-khong Tham, Tie LuoAbstract:User-contributed or crowd-sourced information is becoming increasingly common. In this paper, we consider the specific case of participatory sensing whereby people contribute information captured by sensors, typically those on a smartphone, and share the information with others. We propose a new metric called quality of contributed service (QCS) which characterizes the information quality and timeliness of a specific real-time sensed quantity achieved in a participatory manner. Participatory sensing has the problem that contributions are sporadic and infrequent. To overcome this, we formulate a Market-based framework for participatory sensing with plausible models of the Market participants comprising data contributors, service consumers and a service provider. We analyze the Market Equilibrium and obtain a closed form expression for the resulting QCS at Market Equilibrium. Next, we examine the effects of realistic behaviors of the Market participants and the nature of the Market Equilibrium that emerges through extensive simulations. Our results show that, starting from purely random behavior, the Market and its participants can converge to the Market Equilibrium with good QCS within a short period of time.
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DCOSS - Quality of Contributed Service and Market Equilibrium for Participatory Sensing
2013 IEEE International Conference on Distributed Computing in Sensor Systems, 2013Co-Authors: Chen-khong Tham, Tie LuoAbstract:User-contributed or crowd-sourced information is becoming increasingly common. In this paper, we consider the specific case of participatory sensing whereby people contribute information captured by sensors, typically those on a smartphone, and share the information with others. We propose a new metric called Quality of Contributed Service (QCS) which characterizes the information quality and timeliness of a specific real-time sensed quantity achieved in a participatory manner. Participatory sensing has the problem that contributions are sporadic and infrequent. To overcome this, we formulate a Market-based framework for participatory sensing with plausible models of the Market participants comprising data contributors, service consumers and a service provider. We analyze the Market Equilibrium and obtain closed form expressions for the resulting QCS at Market Equilibrium. Next, we examine the effects of realistic behaviors of the Market participants and the nature of the Market Equilibrium that emerges through extensive simulations. Our results show that, starting from purely random behavior, the Market and its participants can converge to the Market Equilibrium with good QCS within a short period of time.
Savvas G. Petoussis - One of the best experts on this subject based on the ideXlab platform.
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Impact of the Transformer Tap-Ratio Control on the Electricity Market Equilibrium
IEEE Transactions on Power Systems, 2008Co-Authors: Savvas G. Petoussis, Xiao-ping Zhang, Andreas G. Petoussis, Keith R. GodfreyAbstract:In this paper, the primal-dual nonlinear interior point method has been used as a basis for the derivation of a novel supply function Equilibrium (SFE) algorithm for modeling the strategic interactions in the electricity Market, using the ac network model, which incorporates modeling of the transformer tap-ratio control. The algorithm is used to investigate the impact of transformer tap-ratio control on the electricity Market Equilibrium and the effect of the interactions between network constraints and transformer tap-ratio control. The interior point social welfare optimization problem is combined with the optimization problem for maximizing the profit of each strategic generating firm in the Market. The final combined single-level SFE problem is solved iteratively based on solution techniques of the interior point method. Numerical examples illustrate the effect of network constraints and especially the impact of transformer tap-ratio control on Market Equilibrium.
Chen-khong Tham - One of the best experts on this subject based on the ideXlab platform.
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Quality of Contributed Service and Market Equilibrium for Participatory Sensing
IEEE Transactions on Mobile Computing, 2015Co-Authors: Chen-khong Tham, Tie LuoAbstract:User-contributed or crowd-sourced information is becoming increasingly common. In this paper, we consider the specific case of participatory sensing whereby people contribute information captured by sensors, typically those on a smartphone, and share the information with others. We propose a new metric called quality of contributed service (QCS) which characterizes the information quality and timeliness of a specific real-time sensed quantity achieved in a participatory manner. Participatory sensing has the problem that contributions are sporadic and infrequent. To overcome this, we formulate a Market-based framework for participatory sensing with plausible models of the Market participants comprising data contributors, service consumers and a service provider. We analyze the Market Equilibrium and obtain a closed form expression for the resulting QCS at Market Equilibrium. Next, we examine the effects of realistic behaviors of the Market participants and the nature of the Market Equilibrium that emerges through extensive simulations. Our results show that, starting from purely random behavior, the Market and its participants can converge to the Market Equilibrium with good QCS within a short period of time.
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DCOSS - Quality of Contributed Service and Market Equilibrium for Participatory Sensing
2013 IEEE International Conference on Distributed Computing in Sensor Systems, 2013Co-Authors: Chen-khong Tham, Tie LuoAbstract:User-contributed or crowd-sourced information is becoming increasingly common. In this paper, we consider the specific case of participatory sensing whereby people contribute information captured by sensors, typically those on a smartphone, and share the information with others. We propose a new metric called Quality of Contributed Service (QCS) which characterizes the information quality and timeliness of a specific real-time sensed quantity achieved in a participatory manner. Participatory sensing has the problem that contributions are sporadic and infrequent. To overcome this, we formulate a Market-based framework for participatory sensing with plausible models of the Market participants comprising data contributors, service consumers and a service provider. We analyze the Market Equilibrium and obtain closed form expressions for the resulting QCS at Market Equilibrium. Next, we examine the effects of realistic behaviors of the Market participants and the nature of the Market Equilibrium that emerges through extensive simulations. Our results show that, starting from purely random behavior, the Market and its participants can converge to the Market Equilibrium with good QCS within a short period of time.
