面向油改电疏浚船舶多工况协同的储能功率与容量优化配置方法

Optimization Method for Energy Storage Power and Capacity Configuration in Multi-condition Coordination of Dredging Ships Converted from Oil to Electricity

摘要

针对传统燃油疏浚船舶改造为电力推进后，因负载功率剧烈波动导致的电网冲击及储能系统配置不合理、经济性差等问题，本文提出一种面向油改电疏浚船舶多工况协同的储能功率与容量优化配置方法。首先，基于船舶实际负载功率数据，设定配电网恒定输出功率，并据此确定储能系统的负载功率。其次，构建以储能系统全寿命周期总投资成本最小化为目标的优化模型，该模型综合考量了初始投资、置换、运营维护及功率波动的惩罚成本。利用雨流计数法和应力老化模型精确计算储能电池的容量衰减，进而确定其运行寿命与置换次数。最后，采用赏金猎人优化算法（Bounty Hunter Optimizer，BHO）对模型进行求解，协同优化储能系统的额定功率与额定容量。仿真结果表明，与传统配置方法和其它智能算法相比，本文方法在满足船舶多工况运行需求的同时，显著降低了储能系统的全寿命周期成本，并展现出更快的收敛速度和更高的求解精度。

Abstract

In response to issues such as power grid impact caused by severe load power fluctuations, unreasonable energy storage system configuration, and poor economic efficiency after the conversion of traditional fuel-powered dredging vessels to electric propulsion, this paper proposes an optimization method for energy storage power and capacity configuration tailored for multi-condition coordination of oil-to-electric dredging vessels. The proposed method significantly reduces the total life cycle cost of the energy storage system while meeting the operational requirements of the vessel under multiple conditions, and demonstrates faster convergence speed and higher solution accuracy.

关键词

油改电疏浚船舶 / 储能优化配置 / 全寿命周期成本 / 雨流计数法 / 赏金猎人优化算法

Key words

oil-to-electricity conversion dredging vessel / energy storage optimization configuration / life cycle cost / rainflow counting method / bounty hunter optimization algorithm

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