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Stochastic unit commitment with air conditioning loads participating in reserve service

Stochastic unit commitment with air conditioning loads participating in reserve service

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The demand response, providing the reserve service, becomes more and more important in the wind-power-integrated power systems. This study proposes a two-stage stochastic unit commitment model with the air conditioning (AC) aggregators providing the reserve service. A classification compensation scheme is proposed to promote AC users to provide more reserve capacity, which quantifies the users' comfort and their contribution to the system. Besides, a new AC scheduling method with adaptive response capacity (ARC) is proposed to help system operators to determine reasonable reserve capacity with smaller total cost. In addition, the inactive constraints identification is utilised to improve computational performance. Finally, the effectiveness of the proposed method is tested on the modified IEEE 118-bus system with 50 AC aggregators. The simulation results show that the proposed classification compensation scheme and the ARC method can promote more AC response capacity and save the total and reserve costs. The price game between the AC aggregators and the thermal units have a great impact on the decision results. The inactive constraints identification can save the total time by about 70%.

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