Multi-Time-Scale Coordinated Scheduling of Micro-Turbine and Air-Conditioning Building Clusters in Campus Microgrid Considering Load Curtailment Uncertainty

HE Huashen; WANG Yuxi; SUI Quan; WENG Hanli; YANG Jiahui; YAO Linwei

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Multi-Time-Scale Coordinated Scheduling of Micro-Turbine and Air-Conditioning Building Clusters in Campus Microgrid Considering Load Curtailment Uncertainty

HE Huashen¹, WANG Yuxi², SUI Quan¹, WENG Hanli³, YANG Jiahui¹, YAO Linwei¹

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Abstract

[Objective] To address the high operational costs and non-smooth power exchange with the grid caused by existing campus microgrids relying solely on power sources or air-conditioning loads for fluctuation mitigation, this paper proposes a multi-timescale coordinated scheduling strategy for gas turbines (micro-turbine, MT) and air-conditioning building clusters in campus microgrids considering grid curtailment uncertainties. [Methods] First, a virtual energy storage model for air-conditioned buildings is established by quantitatively analyzing the flexible energy characteristics of variable-frequency air conditioners. Combined with the MT power-generation-energy-consumption relationship, a short-timescale efficiency-coordinated control method for MT and variable-frequency air conditioners is proposed to achieve adaptive power fluctuation mitigation. Subsequently, a long-timescale coordinated operation model between MT and air-conditioned buildings is constructed based on microgrid energy supply-demand relationships. Furthermore, robust optimization and stochastic scenario methods are employed to characterize uncertainties in grid curtailment, renewable generation, and load demand, designing a flexible multi-timescale scheduling strategy compatible with grid-connected and islanded modes. Finally, the model is linearized into a mixed-integer linear programming (MILP) problem. [Results] Simulation cases demonstrate that when microgrid power fluctuates, the system strictly follows the efficiency-coordinated control method to dynamically coordinate power allocation between MT and virtual energy storage. The proposed strategy reduces total system costs by 10.1% in grid-connected mode and 5.0% in islanded mode, effectively mitigating system collapse risks while enhancing both reliability and economic performance. [Conclusion] The proposed strategy fully exploits the coordinated scheduling potential of MT and variable-frequency air-conditioning clusters, flexibly adapts to grid-connected/islanded scenarios, significantly improves microgrid economics, and provides an efficient scheduling solution with high-penetration renewable energy integration.

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variable frequency air conditioning cluster / virtual energy storage / collaborative scheduling / collaborative scheduling / grid-connection and island modes

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HE Huashen, WANG Yuxi, SUI Quan, WENG Hanli, YANG Jiahui, YAO Linwei. Multi-Time-Scale Coordinated Scheduling of Micro-Turbine and Air-Conditioning Building Clusters in Campus Microgrid Considering Load Curtailment Uncertainty[J]. Electric Power Construction. 0

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