BATTPOWER应用：电动汽车在有源配电网中的大规模集成--挪威案例研究
BATTPOWER Application: Large-Scale Integration of EVs in an Active Distribution Grid -- A Norwegian Case Study
摘要：
在本文中，我们介绍了一个应用程序的高性能多周期交流最优潮流（MPOPF）求解器，称为“BATTPOWER”，以模拟积极的配电网在不久的将来的情况。一个大规模的挪威配电网以及大量的电动汽车（EV）的人口在这里作为案例研究。我们建议并分析了三种操作策略（就电动汽车充电调度车队的控制而言）对于配电系统运营商（DSO）：（a）不协调/哑充电调度，（b）以能量成本最小化为目标的协调充电调度，而没有电网的操作约束，以及（c）以能量成本最小化为目标的协调充电调度以及电网的操作约束。结果表明，不协调的充电将导致：1）当电动汽车的份额超过20%时，线路和Transformers的过载，以及2）比（b）和（c）的建议控制策略更高的运营成本。在策略（b）中，当EV的数量增长超过36%时，违反操作线路/Transformer限制。这意味着必须改变当前的市场设计，以允许在电网运行限制内主动控制大部分DER，从而在系统层面实现成本最小化。据我们所知，本文中提出的工作是有史以来第一次尝试对电动汽车充电需求对挪威配电网的影响进行全面分析。此外，分析的推断表明，挪威配电网络比电动汽车需求的电压问题更容易出现拥堵问题，其中包括考虑电网条件的智能充电方案。
英文摘要：
In this paper, we introduce an application of a high-performance MultiPeriod AC Optimal Power Flow (MPOPF) solver, called "BATTPOWER", to simulate active distribution grids for a near-future scenario. A large-scale Norwegian distribution grid along with a large population of Electric Vehicles (EV) are here taken as the case-study. We suggest and analyse three operational strategies (in terms of control of charge scheduling fleet of EV) for the Distribution System Operator (DSO): (a) uncoordinated/dumb charge scheduling, (b) coordinated charge scheduling with the objective of energy cost-minimisation without operational constraints of the grid, and (c) coordinated charge scheduling with the objective of energy cost-minimisation along with the operational constraints of the grid. The results demonstrate that the uncoordinated charging would lead to: 1) overloading of lines and transformers when the share of EVs is above 20%, and 2) higher operational costs than the proposed control strategies of (b) and (c). In strategy (b) operational line/transformer limits are violated when the populations of EVs are growing above 36%. This implies that current market design must be altered to allow active control of a large proportion of DERs within grid operational limits to achieve cost minimization at system level. To our knowledge, the work presented in this paper is the first ever attempt to do a comprehensive analysis of the impact of EV charging demand on a real Norwegian distribution grid. Moreover, the inference of the analysis says that the Norwegian distribution networks are more prone to congestion problems than the voltage problems for the EV demand which includes a smart charging scheme accounting for grid conditions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
