论文标题
在分布式氢能供应下对商用电动汽车的协调充电控制的关节优化
Joint Optimization for Coordinated Charging Control of Commercial Electric Vehicles Under Distributed Hydrogen Energy Supply
论文作者
论文摘要
最近向零碳功率系统的过渡正在加速。氢能和电动汽车（EV）是供求方面有希望的解决方案。本文介绍了一种新的建筑，其中包括氢生产站（HPSS），快速充电站（FCSS）和商业电动汽车。所提出的结构共同优化了分布式氢能调度和EV充电位置选择，并通过用于实时操作的时变双层双分（T-BBG）模型来配制。我们开发了一种结合线性编程（LP）和Kuhn-Munkres（KM）算法的双层迭代优化方法，以解决理论上证明其最优性的关节问题。通过上海的案例研究验证了拟议的建筑对降低运营成本的有效性。拟议的方法优于其他策略，并提高了至少13％的绩效，这表明了联合建筑的潜在经济利益。评估了桩数，电池容量，电动汽车速度和惩罚因素的收敛性和影响。
The transition to the zero-carbon power system is underway accelerating recently. Hydrogen energy and electric vehicles (EVs) are promising solutions on the supply and demand sides. This paper presents a novel architecture that includes hydrogen production stations (HPSs), fast charging stations (FCSs), and commercial EVs. The proposed architecture jointly optimizes the distributed hydrogen energy dispatch and the EV charging location selection, and is formulated by a time-varying bi-level bipartite graph (T-BBG) model for real-time operation. We develop a bi-level iteration optimization method combining linear programming (LP) and Kuhn-Munkres (KM) algorithm to solve the joint problem whose optimality is proved theoretically. The effectiveness of the proposed architecture on reducing the operating cost is verified via case studies in Shanghai. The proposed method outperforms other strategies and improves the performance by at least 13% which shows the potential economic benefits of the joint architecture. The convergence and impact of the pile number, battery capacity, EV speed and penalty factor are assessed.
