【Advances in Applied Energy】增强城市能源系统弹性的电动汽车分布式鲁棒控制策略

学术   科学   2025-01-04 18:31   美国  

原文信息:

A distributed robust control strategy for electric vehicles to enhance resilience in urban energy systems

原文链接:

https://www.sciencedirect.com/science/article/pii/S2666792422000270

摘要

多能源微电网的弹性运行是现代电力系统脱碳的重中之重,其目标是降低电力中断的风险和负面影响。电动汽车作为电网灵活性的一个重要提供者,可以对未服务的负荷需求做出响应,并自动分配运行,以增加电网弹性。本文提出了一种针对电动汽车群体的分布式控制策略,以增强经历极端突发事件的城市能源系统的弹性。具体而言,开发了一种迭代算法来协调异构电动车辆的充电/放电计划,旨在减少必要的减载,同时考虑局部约束和多能源微电网互连容量。此外,电动车辆能量与出发时所需能量水平之间的差距也被最小化。通过一系列案例研究,验证了引入的分布式协调方法在能源盈利和阻塞管理方面的有效性。

更多关于"Urban Energy Systems"的研究请见:

https://www.sciencedirect.com/search?pub=Advances%20in%20Applied%20Energy&cid=777797&qs=urban%20energy%20systems

Abstract

Resilient operation of multi-energy microgrid is a critical concept for decarbonization in modern power system. Its goal is to mitigate the low probability and high damaging impacts of electricity interruptions. Electrical vehicles, as a key flexibility provider, can react to unserved demand and autonomously schedule their operation in order to provide resilience. This paper presents a distributed control strategy for a population of electrical vehicles to enhance resilience of an urban energy system experiencing extreme contingency. Specifically, an iterative algorithm is developed to coordinate the charging/discharging schedules of heterogeneous electrical vehicles aiming at reducing the essential load shedding while considering the local constraints and multi-energy microgrid interconnection capacities. Additionally, the gap between electrical vehicle energy and the required energy level at the departure time is also minimised. The effectiveness of the introduced distributed coordinated approach on energy arbitrage and congestion management is tested and demonstrated by a series of case studies.

Keywords

Multi-energy micro-grid system

Electric vehicle

Power system resilience

Distributed control strategy

Graphics


Fig. 1. The architecture of a MEMG cluster.

Fig. 2. Feasible SOC polygon of EV j and an example operational profile.

Fig. 7. Total electricity demand (solid lines) and maximum RES power (dashed lines) of the three MEMGs.

Fig. 9. Energy sources at three MEMGs. Upper row: without MEMG interconnections; Lower row: with MEMG interconnections.

Fig. 10. Essential load curtailment at different EV number and interconnection line capacity scenarios.

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