A multi-energy virtual power plant can be defined as flexible cooperation of multi-energy distributed energy resources including heating and cooling devices that operates as a single entity and participates in the power markets. To exploit the potential of multi-energy distributed resources, this paper proposes a model for the aggregation of a multi-energy virtual power plant that participates in day-ahead energy and reserve markets. The reserve capacity brought by the multi-energy quick-start devices is considered in this paper, which adds binary variables to the recourse problem. The proposed model is an adjustable robust optimization problem that guarantees all possible deployment requests can be realized by the virtual power plant. Moreover, the optimal offering strategy is determined, and the total cost of the multi-energy virtual power plant is ensured to not exceed the optimal value of the objective function. A modified nested column-and-constraint generation algorithm is proposed for solving the adjustable robust optimization problem with mixed-integer recourse in specified precision efficiently compared with other KKT-based algorithms. The results from a case study of an actual industrial park demonstrate the satisfactory performance of the proposed model.

中文翻译：

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从多能源虚拟电厂的快速启动设备中聚合更多的灵活性

多能源虚拟发电厂可以定义为多能源分布式能源的灵活合作，包括作为单个实体运行并参与电力市场的供暖和制冷设备。为了开发多能源分布式资源的潜力，本文提出了一个参与日前能源和储备市场的多能源虚拟电厂的聚集模型。本文考虑了多能量快速启动装置带来的备用容量，这将二元变量添加到追索权问题上。所提出的模型是可调整的鲁棒性优化问题，可以保证虚拟电厂可以实现所有可能的部署请求。而且，确定了最佳的提供策略，并且确保多能源虚拟电厂的总成本不超过目标函数的最优值。提出了一种改进的嵌套列约束生成算法，与其他基于KKT的算法相比，可以有效地解决具有指定精度的混合整数资源的可调鲁棒优化问题。实际工业园区案例研究的结果证明了该模型的令人满意的性能。