通过需求响应实现车辆建设和电网服务的规划和合同框架的优化设计

IF 8.5 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Transportation Electrification Pub Date : 2025-01-13 DOI:10.1109/TTE.2025.3529346
Ahmed Abd Elaziz Elsayed;Shivam Saxena;Hany Essa Zidan Farag
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引用次数: 0

摘要

双向电动汽车(EV)充电使存储的能量能够减少车辆到建筑物(v2b)和车辆到电网(V2G)的峰值负荷。然而,投资V2B基础设施同时从V2G服务中获得收入的业主在规划和协调电动汽车业主方面面临挑战,因为他们的时间表和利润分享预期存在不确定性。此外,不一致的建筑和电网高峰时间可能会造成V2B和V2G目标之间的冲突,这可能会对建筑电费产生负面影响。不同于以往的研究使用无合同的方法来聚合V2B和V2G,导致参与不一致,本文提出了一种新的规划和合同框架,使建筑物所有者能够与电动汽车所有者确定最佳合同参数。这些参数包括DR事件的最小参与时间、最小到达充电状态(SoC)和允许的紧急离场时间。该框架支持V2B聚合和现场分布式能源(DERs),用于DR和V2G服务,通过共享利润和基于绩效的处罚来确保透明度和公平性,同时补偿V2G活动造成的建筑电费。该框架由一个三阶段优化过程组成,该过程使用蒙特卡罗模拟来生成电动汽车所有者的利润评估,根据充电器的可用性选择最佳的候选电动汽车,估计利润/罚款分担的合同参数,并在多个虚拟场景下在电力系统运营商(pso)、建筑业主和电动汽车所有者之间分配合同。模拟结果通过对真实世界数据集进行为期3天的案例研究,验证了合同参数评估及其性能,结果表明,在DR事件期间,每个电动汽车所有者的净收益为209美元,建筑物所有者的净收益为950美元,电动汽车和建筑物所有者的投资回报率(ROI)分别为134.5%和130.7%。
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Optimal Design of a Planning and Contracting Framework to Enable Vehicle to Building and Grid Services via Demand Response
Bidirectional electric vehicle (EV) charging enables stored energy to reduce peak loads for vehicle to buildings (V2Bs) and the vehicle to grid (V2G). However, building owners investing in V2B infrastructure while generating revenue from V2G services face challenges in planning and coordinating with EV owners due to uncertainties in their schedules and profit-sharing expectations. Additionally, misaligned building and grid peak times can create conflicts between V2B and V2G goals, which may negatively impact the building electricity bill. Unlike previous studies that used a contract-free approach for aggregating V2B and V2G, resulting in inconsistent participation, this article proposes a novel planning and contracting framework that enables building owner to determine the optimal contract parameters with EV owners. These parameters include minimum participation time in DR events, minimum arrival state of charge (SoC), and permitted emergency departure hours. The framework supports V2B aggregation with on-site distributed energy resources (DERs) for DR and V2G services, ensuring transparency and fairness through shared profits and performance-based penalties, while compensating building electricity bills due to V2G activities. The framework is composed of a tri-stage optimization process that uses Monte Carlo simulations to generate EV owner profit assessments, select optimal EV candidates based on charger availability, estimate contract parameters with profit/penalty sharing, and assign contracts between power system operators (PSOs), building owners, and EV owners under multiple virtual scenarios. Simulation results validate the contract parameter assessment and its performance via a 3-day case study with real-world datasets that demonstrates net revenue generation of ${\$}$ 209 for each EV owner and ${\$}$ 950 for building owners during DR events with a return on investment (ROI) of 134.5% and 130.7% for the EVs and Building owners, respectively.
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来源期刊
IEEE Transactions on Transportation Electrification
IEEE Transactions on Transportation Electrification Engineering-Electrical and Electronic Engineering
CiteScore
12.20
自引率
15.70%
发文量
449
期刊介绍: IEEE Transactions on Transportation Electrification is focused on components, sub-systems, systems, standards, and grid interface technologies related to power and energy conversion, propulsion, and actuation for all types of electrified vehicles including on-road, off-road, off-highway, and rail vehicles, airplanes, and ships.
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