Abstract This paper addresses the concept of vanadium redox flow batteries as stationary energy storage for achieving optimum parameters of energy and cost-effectiveness in transportation microgrids. Such energy storage has two main purposes: to utilize the energy recovered from braking trains, and shave power peaks. With abovementioned purposes, economic feasibility is the main driver of measures to optimize the battery parameters, including joint energy and power capacity, as well as and energy management strategy parameters. The optimization results obtained from the genetic algorithm and particle swarm optimization algorithm were compared, and the comparison demonstrates that the second method operates more sufficiently. The case study shows that the implementation of the proposed battery system in a traction substation allows one to achieve approximately 7 year payback period and decrease peak power and daily consumption by 581 kW and 1.77 MWh, respectively. In addition, sensitivity analysis was conducted to determine the impact of certain factors and battery parameters on the resulting payback period. The results show that the effect of deviation of energy management strategy parameters from optimum values on payback period is four times more profound than deviation of battery parameters, which demonstrates how important energy management strategy is.

中文翻译：

---

交通微电网中钒氧化还原液流电池参数优化：案例研究

摘要 本文讨论了钒氧化还原液流电池作为固定储能的概念，以实现交通微电网中能量和成本效益的最佳参数。这种能量存储有两个主要目的：利用从制动系统中回收的能量，以及削减功率峰值。出于上述目的，经济可行性是优化电池参数的主要驱动力，包括联合能量和功率容量，以及能量管理策略参数。将遗传算法和粒子群优化算法得到的优化结果进行了对比，对比表明第二种方法的操作更充分。案例研究表明，在牵引变电站中实施拟议的电池系统可以实现大约 7 年的投资回收期，并将峰值功率和日消耗量分别降低 581 千瓦和 1.77 兆瓦时。此外，还进行了敏感性分析，以确定某些因素和电池参数对由此产生的投资回收期的影响。结果表明，能源管理策略参数偏离最优值对投资回收期的影响是电池参数偏离的四倍，这说明了能源管理策略的重要性。进行敏感性分析以确定某些因素和电池参数对所得投资回收期的影响。结果表明，能源管理策略参数偏离最优值对投资回收期的影响是电池参数偏离的四倍，这说明了能源管理策略的重要性。进行敏感性分析以确定某些因素和电池参数对所得投资回收期的影响。结果表明，能源管理策略参数偏离最优值对投资回收期的影响是电池参数偏离的四倍，这说明了能源管理策略的重要性。