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Smart distribution system operational scheduling considering electric vehicle parking lot and demand response programs

机译：考虑电动车停车场和需求响应程序的智能配电系统运行计划

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摘要

Electric vehicle (EV) technology with a vehicle to grid (V2G) property is used in power systems to mitigate greenhouse gas emissions, reduce peak load of the distribution system, provide ancillary service, etc. In addition, demand response (DR) programs as an effective strategy can provide an opportunity for consumers to play a significant role in the planning and operation of a smart distribution company (SDISCO) by reducing or shifting their demand, especially during the on-peak period. In this paper, the optimal operation of a SDISCO is evaluated, including renewable energy resources (RERs) along with EV parking lots (PLs). RER and PL uncertainties and a suitable charging/discharging schedule of EVs are also considered. Furthermore, price-based DR programs and incentive-based DR programs are used for operational scheduling. To achieve this aim, a techno-economic formulation is developed in which the SDISCO acts as the owner of RERs and PLs. Moreover, DR programs are prioritized by using the technique for order preference by similarity to ideal solution method. In addition, a sensitivity analysis is carried out to investigate different factors that affect the operational scheduling of the SDISCO. The proposed model is tested on the IEEE 15-bus distribution system over a 24-h period, and the results prove the effectiveness of the model. (C) 2018 Elsevier B.V. All rights reserved.
机译：具有车辆到电网（V2G）特性的电动汽车（EV）技术用于电力系统中，以减少温室气体排放，降低配电系统的峰值负荷，提供辅助服务等。此外，需求响应（DR）计划包括有效的策略可以为消费者提供机会，通过减少或转移他们的需求（尤其是在高峰时段），在智能配电公司（SDISCO）的计划和运营中发挥重要作用。在本文中，对SDISCO的最佳运行进行了评估，包括可再生能源（RER）以及EV停车场（PL）。还应考虑RER和PL的不确定性以及合适的EV充电/放电时间表。此外，基于价格的灾难恢复程序和基于激励的灾难恢复程序用于操作调度。为了实现这一目标，开发了一种技术经济方案，由SDISCO担任RER和PL的所有者。此外，通过使用与理想解决方法相似的顺序优先技术，可以对DR程序进行优先排序。此外，还进行了敏感性分析，以调查影响SDISCO运营计划的不同因素。该模型在IEEE 15总线配电系统上进行了24小时的测试，结果证明了该模型的有效性。 （C）2018 Elsevier B.V.保留所有权利。

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