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A novel bi-level robust game model to optimize a regionally integrated energy system with large-scale centralized renewable-energy sources in Western China

机译:一种新型双级鲁棒游戏模型,可优化地区集成能源系统,在中国西部大规模集中可再生能源

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摘要

To improve the economics and scheduling flexibility of regionally integrated energy system (RIES) with large-scale centralized renewable energy, a bi-level robust game model is proposed. The model relies on the CCHP units and virtual energy-plant, uses their complementary of various energy to stabilize the uncertainty of power generation and consumption. The revenue and loss risk for coupling multiple uncertain is considered, and the uncertain set is constructed by robust theory, which can be flexibly adjusted its boundaries. Aim at the above-mentioned complex model, such as multi-objective, non convex, strong constraint, large-scale decision variables, and irregular Pareto front shape, a multi objective whale optimization algorithm is proposed. Finally, a modified IEEE-33 bus distribution system and the Hami power grid (in Western China) are used for cases. The sensitivity for scheduling results is quantitatively analyzed, under the influence of power generation and consumption uncertainty. The results show that the strategy can balance the economy and robustness, improve the profit benefit of RIES by 15.67% with the traditional robustness, virtual energy-plant can increase the profit by 1.9%. This paper provides theoretical guidance for the optimal scheduling of RIES with large-scale renewable energy. (c) 2021 Elsevier Ltd. All rights reserved.
机译:为了提高区域综合能源系统(RIES)的经济学和调度灵活性,提出了一种双级鲁棒游戏模型。该模型依赖于CCHP单位和虚拟能量植物,使用各种能量的互补来稳定发电和消费的不确定性。考虑了耦合多重不确定的收入和损失风险,并且不确定的设定由强大的理论构建,这可以灵活地调整其边界。目的在上述复杂模型,例如多目标,非凸,强制,大规模决策变量和不规则的Pareto前形状,提出了多目标鲸类优化算法。最后,使用改进的IEEE-33总线分配系统和哈密电网(在中国西部)用于案例。在发电和消费不确定性的影响下,定量地分析了调度结果的灵敏度。结果表明,该策略可以平衡经济和稳健性,提高人民利润效益15.67%,传统的鲁棒性,虚拟能源厂可以将利润提高1.9%。本文提供了具有大规模可再生能源的最佳安排的理论指导。 (c)2021 elestvier有限公司保留所有权利。

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