The Experts below are selected from a list of 1977 Experts worldwide ranked by ideXlab platform
Jongkeun Park - One of the best experts on this subject based on the ideXlab platform.
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unit commitment considering Interruptible Load for power system operation with wind power
Energies, 2014Co-Authors: Hyeongon Park, Jaekun Lyu, Yong Cheol Kang, Jongkeun ParkAbstract:A high wind-power penetration level causes increased uncertainty in power system operation because of the variability and limited predictability of wind generation. This paper proposes a novel type of unit commitment (UC) considering spinning reserve and Interruptible Load (IL) as operating reserve facilities to increase system flexibility for reliable, economical operation. Two uncertainty sources, Load and wind generation, were modeled via autoregressive moving averages (ARMA). The formulation of Interruptible Load was considered in the implementation of unit commitments. Lagrangian relaxation-dynamic programming (LR-DP) was used to solve the unit commitment problem efficiently. The expected energy not supplied (EENS) was regarded as a probabilistic reliability criterion. The effectiveness of the proposed unit commitment was evaluated using an IEEE 118-bus system. The simulation results clearly demonstrated that with demand-side participation, the operating cost was significantly reduced when handling the increased uncertainty due to wind power integration within the required reliability criteria.
Hyeongon Park - One of the best experts on this subject based on the ideXlab platform.
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unit commitment considering Interruptible Load for power system operation with wind power
Energies, 2014Co-Authors: Hyeongon Park, Jaekun Lyu, Yong Cheol Kang, Jongkeun ParkAbstract:A high wind-power penetration level causes increased uncertainty in power system operation because of the variability and limited predictability of wind generation. This paper proposes a novel type of unit commitment (UC) considering spinning reserve and Interruptible Load (IL) as operating reserve facilities to increase system flexibility for reliable, economical operation. Two uncertainty sources, Load and wind generation, were modeled via autoregressive moving averages (ARMA). The formulation of Interruptible Load was considered in the implementation of unit commitments. Lagrangian relaxation-dynamic programming (LR-DP) was used to solve the unit commitment problem efficiently. The expected energy not supplied (EENS) was regarded as a probabilistic reliability criterion. The effectiveness of the proposed unit commitment was evaluated using an IEEE 118-bus system. The simulation results clearly demonstrated that with demand-side participation, the operating cost was significantly reduced when handling the increased uncertainty due to wind power integration within the required reliability criteria.
Mahmud Fotuhi-firuzabad - One of the best experts on this subject based on the ideXlab platform.
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Unit Commitment With Probabilistic Spinning Reserve and Interruptible Load Considerations
IEEE Transactions on Power Systems, 2009Co-Authors: Farrokh Aminifar, Mahmud Fotuhi-firuzabad, Mohammad ShahidehpourAbstract:This paper demonstrates how a probabilistic criterion could be explicitly integrated in the unit commitment (UC) formulation. Both spinning reserve and Interruptible Load are taken into account as the operating reserve facilities. Incorporating the interruption notice time of Interruptible Load involves some complexities in the evaluation procedure and problem formulation which is considered in this paper. The expected energy not supplied (EENS) is considered as a probabilistic criterion and a new method is proposed to calculate this index in the presence of Interruptible Load. The reliability-constrained unit commitment (RCUC) problem is formulated based on the mixed-integer programming (MIP) method that can be solved using large-scale commercial solvers. The effectiveness of the proposed formulation is examined using the IEEE-RTS. Numerical results are presented and the implementation issues are discussed. A number of analyses are examined to evaluate the impact of some important factors on the problem solution.
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Reliability-Constrained Unit Commitment Considering Interruptible Load Participation
iranian journal of electrical and electronic engineering, 2007Co-Authors: Farrokh Aminifar, Mahmud Fotuhi-firuzabadAbstract:From the optimization point of view, an optimum solution of the unit commitment problem with reliability constraints can be achieved when all constraints are simultaneously satisfied rather than sequentially or separately satisfying them. Therefore, the reliability constraints need to be appropriately formulated in terms of the conventional unit commitment variables. In this paper, the reliability-constrained unit commitment problem is formulated in a mixed-integer program format. Both the unit commitment risk and the response risk are taken into account as the probabilistic criteria of the operating reserve requirement. In addition to spinning reserve of generating units, Interruptible Load is also included as a part of operating reserve. The numerical studies using IEEE-RTS indicate the effectiveness of the proposed formulation. The obtained results are presented and the implementation issues are discussed. Two sensitivity analyses are also fulfilled to illustrate the effects of generating unit failure rates and interruption time of Interruptible Load. t i
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Interruptible Load considerations in well-being analysis of interconnected systems
Quality and Reliability Engineering International, 1998Co-Authors: Mahmud Fotuhi-firuzabadAbstract:Adequate operating reserve is required in an electric power system in order to maintain a desired level of reliability throughout a given period of time. Interruptible Load can be considered as a part of the system operating reserve if it is required. The inclusion of Interruptible Load in the assessment of unit commitment in interconnected systems is illustrated in this paper using a well-being framework. A technique is presented to determine the well-being indices of both isolated and interconnected systems with the inclusion of Interruptible Load. The impacts on the required number of committed units and the well-being indices of the amount of Interruptible Load and the corresponding interruption time are examined in this paper by application to a hypothetical system and to the IEEE-RTS. © 1998 John Wiley & Sons, Ltd.
Jaekun Lyu - One of the best experts on this subject based on the ideXlab platform.
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unit commitment considering Interruptible Load for power system operation with wind power
Energies, 2014Co-Authors: Hyeongon Park, Jaekun Lyu, Yong Cheol Kang, Jongkeun ParkAbstract:A high wind-power penetration level causes increased uncertainty in power system operation because of the variability and limited predictability of wind generation. This paper proposes a novel type of unit commitment (UC) considering spinning reserve and Interruptible Load (IL) as operating reserve facilities to increase system flexibility for reliable, economical operation. Two uncertainty sources, Load and wind generation, were modeled via autoregressive moving averages (ARMA). The formulation of Interruptible Load was considered in the implementation of unit commitments. Lagrangian relaxation-dynamic programming (LR-DP) was used to solve the unit commitment problem efficiently. The expected energy not supplied (EENS) was regarded as a probabilistic reliability criterion. The effectiveness of the proposed unit commitment was evaluated using an IEEE 118-bus system. The simulation results clearly demonstrated that with demand-side participation, the operating cost was significantly reduced when handling the increased uncertainty due to wind power integration within the required reliability criteria.
Yong Cheol Kang - One of the best experts on this subject based on the ideXlab platform.
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unit commitment considering Interruptible Load for power system operation with wind power
Energies, 2014Co-Authors: Hyeongon Park, Jaekun Lyu, Yong Cheol Kang, Jongkeun ParkAbstract:A high wind-power penetration level causes increased uncertainty in power system operation because of the variability and limited predictability of wind generation. This paper proposes a novel type of unit commitment (UC) considering spinning reserve and Interruptible Load (IL) as operating reserve facilities to increase system flexibility for reliable, economical operation. Two uncertainty sources, Load and wind generation, were modeled via autoregressive moving averages (ARMA). The formulation of Interruptible Load was considered in the implementation of unit commitments. Lagrangian relaxation-dynamic programming (LR-DP) was used to solve the unit commitment problem efficiently. The expected energy not supplied (EENS) was regarded as a probabilistic reliability criterion. The effectiveness of the proposed unit commitment was evaluated using an IEEE 118-bus system. The simulation results clearly demonstrated that with demand-side participation, the operating cost was significantly reduced when handling the increased uncertainty due to wind power integration within the required reliability criteria.
