计及限电不确定性的园区微电网燃气轮机与空调建筑集群多时间尺度协同调度

何华绅; 王玉玺; 随权; 翁汉琍; 杨佳辉; 姚林伟

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计及限电不确定性的园区微电网燃气轮机与空调建筑集群多时间尺度协同调度

何华绅¹, 王玉玺², 随权¹, 翁汉琍³, 杨佳辉¹, 姚林伟¹

作者信息 +

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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文章历史 +

摘要

【目的】针对现有园区微电网仅依赖电源或空调负荷平抑波动导致运行成本较高,与电网交换功率不够平滑的问题,提出一种计及限电不确定性的园区微电网燃气轮机(micro-turbine,MT)与空调建筑集群多时间尺度协同调度策略。【方法】首先,通过量化分析变频空调灵活用能特性,建立空调建筑虚拟储能模型。结合MT发电-能耗关系,提出MT-变频空调短时间尺度效能协同控制方法,实现功率波动的自适应平抑,继而,根据微电网能量供需平衡,构建MT与空调建筑长时间尺度协同运行模型。此外,分别采用鲁棒法和随机场景法刻画限电、可再生能源发电和负荷用能不确定性,设计兼容并网与孤岛运行模式的微电网多时间尺度灵活调度策略。最后,通过线性化将其转化为混合整数线性规划问题(mixed-integer linear programming,MILP)。【结果】仿真算例表明,在微电网运行功率发生波动时,系统严格遵循效能协同控制方法,动态协调MT与虚拟储能的功率分配。所提调度策略在并网和孤岛运行模式下分别降低系统总成本10.1%和5.0%,有效缓解系统瘫痪的风险,实现可靠性与经济性的双重提升。【结论】所提策略可充分挖掘MT与变频空调集群的协同调度潜力,灵活应对并网和孤岛运行场景,有效提升微电网经济性,为高比例可再生能源接入提供高效调度方案。

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.

导出引用

何华绅, 王玉玺, 随权, 翁汉琍, 杨佳辉, 姚林伟. 计及限电不确定性的园区微电网燃气轮机与空调建筑集群多时间尺度协同调度[J]. 电力建设. 0

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

中图分类号： TM

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