The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Yonghong Chen - One of the best experts on this subject based on the ideXlab platform.

Matthew H Tackett - One of the best experts on this subject based on the ideXlab platform.

  • chapter 6 incorporating short term stored energy resource into miso energy and Ancillary Service market and development of performance based regulation payment
    Energy Storage for Smart Grids#R##N#Planning and Operation for Renewable and Variable Energy Resources (VERs), 2014
    Co-Authors: Yonghong Chen, Ryan Leonard, Marc Keyser, Matthew H Tackett, Joe Gardner
    Abstract:

    This chapter analyzes various approaches to incorporate short-term stored energy resources (SERs) into MISO co-optimized energy and Ancillary Service market. Based on analysis, the best approach is to utilize short-term storage energy resources for regulating reserve with the real-time energy dispatch of the SERs to be set in such a way that the maximum regulating reserve on SERs can be cleared. It also introduces the implementation of market based regulation performance payment. The purpose of the enhancement is to provide fair compensation for resources such as SERs that can provide fast and accurate responses.

  • incorporating short term stored energy resource into midwest iso energy and Ancillary Service market
    IEEE Transactions on Power Systems, 2011
    Co-Authors: Yonghong Chen, Marc Keyser, Matthew H Tackett
    Abstract:

    The purpose of this paper is to analyze various approaches to incorporate short-term stored energy resources into the Midwest ISO co-optimized energy and Ancillary Service market. Based on the analysis, the best approach is to utilize short-term stored energy resources for regulating reserve with the real-time energy dispatch to be set in such a way that the maximum regulating reserve can be cleared. Results on a five-bus system are used to illustrate the clearing and pricing on short-term stored energy resources with the proposed approach. Monte Carlo simulation on the five-bus system is used to illustrate the AGC regulation deployment.

Joe Gardner - One of the best experts on this subject based on the ideXlab platform.

Marc Keyser - One of the best experts on this subject based on the ideXlab platform.

  • chapter 6 incorporating short term stored energy resource into miso energy and Ancillary Service market and development of performance based regulation payment
    Energy Storage for Smart Grids#R##N#Planning and Operation for Renewable and Variable Energy Resources (VERs), 2014
    Co-Authors: Yonghong Chen, Ryan Leonard, Marc Keyser, Matthew H Tackett, Joe Gardner
    Abstract:

    This chapter analyzes various approaches to incorporate short-term stored energy resources (SERs) into MISO co-optimized energy and Ancillary Service market. Based on analysis, the best approach is to utilize short-term storage energy resources for regulating reserve with the real-time energy dispatch of the SERs to be set in such a way that the maximum regulating reserve on SERs can be cleared. It also introduces the implementation of market based regulation performance payment. The purpose of the enhancement is to provide fair compensation for resources such as SERs that can provide fast and accurate responses.

  • incorporating short term stored energy resource into midwest iso energy and Ancillary Service market
    IEEE Transactions on Power Systems, 2011
    Co-Authors: Yonghong Chen, Marc Keyser, Matthew H Tackett
    Abstract:

    The purpose of this paper is to analyze various approaches to incorporate short-term stored energy resources into the Midwest ISO co-optimized energy and Ancillary Service market. Based on the analysis, the best approach is to utilize short-term stored energy resources for regulating reserve with the real-time energy dispatch to be set in such a way that the maximum regulating reserve can be cleared. Results on a five-bus system are used to illustrate the clearing and pricing on short-term stored energy resources with the proposed approach. Monte Carlo simulation on the five-bus system is used to illustrate the AGC regulation deployment.

Sean P Meyn - One of the best experts on this subject based on the ideXlab platform.

  • Ancillary Service to the grid through control of fans in commercial building hvac systems
    IEEE Transactions on Smart Grid, 2014
    Co-Authors: He Hao, Prabir Barooah, Yashen Lin, Anupama Kowli, Sean P Meyn
    Abstract:

    The thermal storage potential in commercial buildings is an enormous resource for providing various Ancillary Services to the grid. In this paper, we show how fans in Heating, Ventilation, and Air Conditioning (HVAC) systems of commercial buildings alone can provide substantial frequency regulation Service, with little change in their indoor environments. A feedforward architecture is proposed to control the fan power consumption to track a regulation signal. The proposed control scheme is then tested through simulations based on a calibrated high fidelity non-linear model of a building. Model parameters are identified from data collected in Pugh Hall, a commercial building located on the University of Florida campus. For the HVAC system under consideration, numerical experiments demonstrate how up to 15% of the rated fan power can be deployed for regulation purpose while having little effect on the building indoor temperature. The regulation signal that can be successfully tracked is constrained in the frequency band $[1/\tau_{0},1/\tau_{1}]$ , where $\tau_{0}\approx 3$ minutes and $\tau_{1}\approx 8$ seconds. Our results indicate that fans in existing commercial buildings in the U.S. can provide about 70% of the current national regulation reserve requirements in the aforementioned frequency band. A unique advantage of the proposed control scheme is that assessing the value of the Ancillary Service provided is trivial, which is in stark contrast to many demand-response programs.

  • Ancillary Service to the grid using intelligent deferrable loads
    arXiv: Optimization and Control, 2014
    Co-Authors: Sean P Meyn, Prabir Barooah, Yue Chen, Ana Busic, Jordan Ehren
    Abstract:

    Renewable energy sources such as wind and solar power have a high degree of unpredictability and time-variation, which makes balancing demand and supply challenging. One possible way to address this challenge is to harness the inherent flexibility in demand of many types of loads. Introduced in this paper is a technique for decentralized control for automated demand response that can be used by grid operators as Ancillary Service for maintaining demand-supply balance. A Markovian Decision Process (MDP) model is introduced for an individual load. A randomized control architecture is proposed, motivated by the need for decentralized decision making, and the need to avoid synchronization that can lead to large and detrimental spikes in demand. An aggregate model for a large number of loads is then developed by examining the mean field limit. A key innovation is an LTI-system approximation of the aggregate nonlinear model, with a scalar signal as the input and a measure of the aggregate demand as the output. This makes the approximation particularly convenient for control design at the grid level. The second half of the paper contains a detailed application of these results to a network of residential pools. Simulations are provided to illustrate the accuracy of the approximations and effectiveness of the proposed control approach.