基于多策略混合改进的哈里斯·霍克算法,优化了储能充电的运行策略.
Bo Tang1,2, Cui Shiting3,2, Xin Wang4
1Electric Engineering College, Tibet Agriculture and Husbandry College, Nyingchi, 860000, China.
Heliyon
|May 31, 2024
概括
本研究介绍了电动汽车充电站的优化调度策略,通过有效管理充电和放电,大大降低了用户的电力成本,并增加了充电提供商的收入. 这种方法通过降低峰值负载需求来提高电网稳定性.
科学领域:
- 电气工程 电气工程
- 优化理论 优化理论
- 智能电网是一种智能电网.
背景情况:
- 电动汽车 (EV) 储能充电池的无序充放电导致电网不稳定.
- 电动汽车的动态特性进一步复杂化了能源管理.
- 使用时间的电价为成本优化提供了机会.
研究的目的:
- 为电动汽车储能充电制定一个有序的充电和放电优化调度策略.
- 为了尽量减少电动汽车的充电和放电成本,同时最大限度地提高充电收入.
- 解决多变量,多目标和高维度优化挑战.
主要方法:
- 开发了一种用于电动汽车充电和放电调度的数学模型.
- 为优化提出了一种多策略混合改进的哈里斯霍克算法 (MHIHHO).
- 使用CEC基准测试函数验证MHIHHO性能.
- 进行了考虑到功率限制和放电负载的模拟.
主要成果:
- 与原始算法相比,降低了52.8%的峰值-谷地负载比.
- 有效地分配充电用于非高峰储能.
- 用户收费成本降低了16.83%26.3%.
- 增加了收费堆收入.
结论:
- 提出的基于MHIHHO的调度策略有效优化了电动汽车的充电和放电操作.
- 该战略为电动汽车用户带来了显著的成本节约,并增加了充电基础设施的收入.
- 这种方法有助于提高电网稳定性和有效地分配能源资源.
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