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An Active Power Allocation Method for Wind-solar-batteries Hybrid Power System

机译：风光电池混合动力系统的有功功率分配方法

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摘要

In this article, an active power allocation method based on multi-objective optimization technique for wind-solar-batteries hybrid system (WSBHPS) is proposed. The problem of active power allocation of WSBHPS is formulated as following multi-objectives: minimizing of error between the output power of WSBHPS and desired power from the grid, minimizing start/stop switch number of power generation units, and maximizing the utilization of the regulation ability of wind turbines. The short-term power prediction of wind and solar power is utilized to quantify the available output power of each generation component, which is taken as constraint conditions of optimization problem with state of charge (SOC) of the batteries. The pattern-search algorithm is utilized to solve the multi-objective optimization problems. The proposed method is illustrated by implementing it to the active power allocation of a WSBHPS in simulation. The simulation results demonstrate that the proposed method has better active power output performance and less fluctuating rate compared with conventional average method. This method not only could maintain the SOC of batteries in an appropriate range, but also could reduce the on-or-off switching number of wind turbines and PV modules.
机译：本文提出了一种基于多目标优化技术的风光电池混合动力系统有功功率分配方法。 WSBHPS的有功功率分配问题被表述为以下多目标：使WSBHPS的输出功率与电网所需功率之间的误差最小化；使发电单元的启动/停止开关数量最小化；以及最大程度地利用法规风力发电机的能力。利用风能和太阳能的短期功率预测来量化每个发电组件的可用输出功率，将其作为电池充电状态（SOC）的优化问题的约束条件。利用模式搜索算法解决了多目标优化问题。通过在仿真中将其实现为WSBHPS的有功功率分配来说明该方法。仿真结果表明，与传统的平均方法相比，该方法具有更好的有功功率输出性能和较小的波动率。该方法不仅可以将电池的SOC保持在适当的范围内，而且可以减少风力涡轮机和光伏模块的通断开关次数。

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