Cloud-Edge Collaboration Control Strategy for Electric Vehicle Aggregators Participating in Frequency and Voltage Regulation

IF 5.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Xianhao Lu;Longjun Wang
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引用次数: 0

Abstract

With the increasing integration of renewable energy into power grids, ensuring the stability and reliability of power grids has become crucial. The intermittency of renewable energy poses a challenge for the frequency and voltage control of power grids. As an adjustable flexible load, electric vehicles (EVs) have emerged as an important solution for grid frequency and voltage control. A joint control and optimization strategy for electric vehicle aggregators (EVAs) to participate in grid frequency and voltage regulation based on a cloud-edge collaborative hierarchical scheduling architecture is proposed, and a multi-timescale EV charging pile cluster (EVC) scheduling model is established with the goal of maximizing the EVA profit. The strategy and model are grounded in the ancillary service market process. The EVA forecasts and optimizes to declare the active and reactive power capacities of the EVC to the market before the day and hour and controls the EVC to respond quickly and accurately to the frequency and voltage regulation instructions in the real-time stage. The methods of rolling optimization, model predictive control, evaluation of the feasible energy region and real-time capacity correction are adopted to coordinate the active and reactive power of EVC. The feasibility and effectiveness of the strategy are verified by an example, which provides an important reference for EVAs participating in power grid interactions.
参与频率和电压调节的电动汽车聚合器的云端协作控制策略
随着可再生能源越来越多地并入电网,确保电网的稳定性和可靠性变得至关重要。可再生能源的间歇性给电网的频率和电压控制带来了挑战。作为一种可调节的灵活负载,电动汽车(EV)已成为电网频率和电压控制的重要解决方案。本文提出了一种基于云边协作分层调度架构的电动汽车聚合器(EVA)参与电网频率和电压调节的联合控制和优化策略,并以电动汽车聚合器利润最大化为目标,建立了一个多时间尺度的电动汽车充电桩集群(EVC)调度模型。该策略和模型以辅助服务市场流程为基础。EVA 通过预测和优化,在日、小时前向市场申报 EVC 的有功和无功功率容量,并在实时阶段控制 EVC 快速、准确地响应频率和电压调节指令。采用滚动优化、模型预测控制、可行能量区域评估和实时容量修正等方法来协调 EVC 的有功和无功功率。通过实例验证了该策略的可行性和有效性,为参与电网互动的 EVA 提供了重要参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.60
自引率
0.00%
发文量
25
审稿时长
10 weeks
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