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Multitimescale Coordinated Adaptive Robust Operation for Industrial Multienergy Microgrids With Load Allocation

机译:具有负载分配的工业多元素微电网的MultiTimescale协调自适应鲁棒操作

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摘要

Manufactory load allocation can be used as an effective industrial demand response scheme to reduce operating costs for industrial multienergy microgrids (iMEMGs). In addition, combined cooling, heat, and power (CCHP) plants with auxiliary devices can provide low-cost multiple energies for industrial plants. However, uncertain power generation from renewable energy sources impairs the iMEMG's operation, leading to challenges such as increased operating costs and energy supply deficiency. To conquer these challenges, this paper proposes a multitimescale coordinated adaptive robust operation approach where manufactory load allocation and iMEMG operation are optimally coordinated on different timescales. In the weekly scheduling stage, industrial loads and CCHP units are scheduled for the following week and the hourly iMEMG operation is optimized within the week. Besides, this paper applies an adaptive robust optimization method where the uncertain renewable power generation is fully addressed. The proposed approach is tested on an iMEMG with various industrial manufactories, and it is compared with conventional methods. The simulation results indicate that compared to the conventional ones, the proposed approach can guarantee a robustly optimal operation solution for the iMEMG against any uncertainty realization.
机译:制造载荷分配可用作有效的工业需求响应方案,以减少工业多元素微电网(IMEMG)的运营成本。另外,具有辅助装置的组合冷却,热量和功率(CCHP)植物可以为工厂提供低成本多个能量。然而,可再生能源的不确定发电损害了IMEMG的操作,导致诸如增加的运营成本和能源供应缺陷等挑战。为了征服这些挑战,本文提出了一种多尺度协调的自适应稳健运行方法,其中制造载荷分配和IMEMG操作在不同的时间尺度上最佳地协调。在每周调度阶段,工业负荷和CCHP单位计划在下周安排,每小时IMEMG操作在一周内进行优化。此外,本文适用于完全解决不确定可再生能源的自适应稳健优化方法。在具有各种工业制造的IMEM上测试了所提出的方法,并与常规方法进行比较。仿真结果表明,与传统的相比,所提出的方法可以保证对任何不确定性实现的IMEMG的强大最佳操作解决方案。

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