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Shadow price based co-ordination methods of microgrids and battery swapping stations

机译:基于影子价格的微电网和电池交换站的协调方法

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摘要

The growing market share of electric vehicles embodies the remarkable progress of transportation electrification. Battery swapping station serves as a critical infrastructure for efficient electric vehicles refueling. To coordinate the scheduling of a battery swapping station and a microgrid managed by non-cooperative entities, we develop two shadow price-based coordination methods, namely peer-to-peer method and leader-follower method. The context is of great importance for mitigating potential barriers of integration of battery swapping stations and microgrids. The peer-to-peer method only requires the exchange of individual shadow price and power trading requests between two entities. This mechanism is the first-of-its-kind solution that allows for co-ordination between two systems without releasing proprietary information. An iterative heuristic algorithm is developed to obtain outcomes of the co-ordination mechanism. For the leader-follower method, microgrid entity gets access to proprietary information of battery swapping station that is managed by an independent entity. A bi-level optimization model is developed to model the gameplay between two non-corporative entities, which is solved by a modified nested column-and-constraint generation algorithm. For both methods, we use an AC optimal power flow model to optimize operation of microgrid while battery swapping station operation is determined by a mixed-integer linear programming model. This work is also the first-of-its-kind study that incorporates AC power flow equations into relevant research. We demonstrate the effectiveness of both methods using an integrated system comprising a standard IEEE 33-bus system and a battery swapping station serving multiple private electric sedans or public electric buses. Nearly 10% of total operational cost saving can be attained if the proposed methods are applied for coordinating two systems, compared to implementing a baseline method.
机译:电动汽车市场份额的不断增长体现了运输电气化的显着进步。电池交换站是高效电动汽车加油的关键基础设施。为了协调由非合作实体管理的电池交换站和微电网的调度,我们开发了两种基于影子价格的协调方法,即对等方法和领导者跟随方法。背景对于减轻电池交换站和微电网集成的潜在障碍非常重要。点对点方法仅需要在两个实体之间交换单个影子价格和权力交易请求。这种机制是同类解决方案中的首创,它允许两个系统之间进行协调而无需发布专有信息。开发了一种迭代启发式算法来获得协调机制的结果。对于领导者跟随者方法,微电网实体可以访问由独立实体管理的电池交换站的专有信息。开发了一个双层优化模型来模拟两个非公司实体之间的游戏玩法,这是通过修改后的嵌套列和约束生成算法来解决的。对于这两种方法,我们使用交流最优潮流模型来优化微电网的运行,而电池交换站的运行则由混合整数线性规划模型确定。这项工作也是同类研究中的首例,将交流潮流方程纳入相关研究。我们使用包含标准IEEE 33总线系统和为多辆私人电动轿车或公共电动巴士服务的电池交换站的集成系统演示了这两种方法的有效性。如果将建议的方法应用于协调两个系统,则与实施基线方法相比,可以节省近10%的总运营成本。

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