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Resilience-robustness improvement by adaptable operating pattern for electric vehicles in complementary solar-vehicle management

机译:互补太阳能汽车管理中的电动汽车适应性操作图案的恢复性鲁棒性

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This paper proposes a model for energy resilience and robustness in the building by integrating minimum energy resources. The developed model utilizes the available electric vehicles (EVs) in the building while minimizes the solar energy integration. The planned resources, i.e., EV and solar energy, have complementary operating pattern resulting in minimum needed resources. The solar energy is available at day-time when the EV is not in the building and the EV is available at nighttime when the solar energy is zero. Such complementary operation is modeled and optimized by the given technique in order to minimize the investment cost and maximize the resilience. The resilience is improved by minimizing loss of energy (i.e., loss of load service) and the robustness is enhanced by restoring the critical loads under all possible events. An adaptable charging-discharging pattern is designed for the EV to supply the critical loads as well as handling the solar unavailability at the same time. The model successfully and efficiently restores all critical loads under all possible events in the building. The model also restores 51.5% of the critical loads under two concurrent events. The model is highly sensitive to the critical loads and reducing them by 10% decreases the loss of energy by about 15%.
机译:本文提出了通过整合最低能源资源来提出建筑能力和鲁棒性的模型。开发的模型利用建筑物中的可用电动车(EV),同时最大限度地减少太阳能集成。计划的资源,即EV和太阳能,具有互补的操作模式,从而产生最低所需的资源。当太阳能为零时,当EV不在建筑物中,EV时,EV在夜间提供太阳能。通过给定技术建模和优化这种互补操作,以最大限度地减少投资成本并最大限度地提高弹性。通过最小化能量丧失(即负载服务丢失)来提高弹性,并且通过在所有可能的事件下恢复关键负载来增强鲁棒性。适应性充电放电图案设计用于EV以供应临界负载以及同时处理太阳能不可用。该模型成功且有效地恢复了建筑物中所有可能事件下的所有关键负载。该模型还在两个并发事件下恢复51.5%的临界负载。该模型对临界载荷高度敏感,减少10%将能量损失降低约15%。

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