Multi-objective control and optimization of a stand-alone photovoltaic power conversion system with battery storage energy management

IF 1.8 Q3 AUTOMATION & CONTROL SYSTEMS IFAC Journal of Systems and Control Pub Date : 2023-09-07 DOI:10.1016/j.ifacsc.2023.100227
Ghizlane Traiki, Abdelmounime El Magri, Rachid Lajouad, Omar Bouattane
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引用次数: 1

Abstract

This paper addresses the problem of controlling a stand-alone photovoltaic (PV) energy conversion system integrated with a battery energy storage system. The study focuses on a series association of PV panels, a DC/AC converter, a Li-ion battery, and a DC load. The intermittent nature of PV power and frequent variations in load demand decrease battery lifetime and its charging performance. To mitigate these issues, an efficient battery charge controller is proposed to instantaneously balance the PV power flow delivered to the DC load and the battery, ensuring optimal utilization of PV power and appropriate battery charging. Based on available solar power, battery state of charge (SOC), and DC load demand The controller adapts to three charging modes, namely, maximum power point tracking (MPPT) charging mode, constant current (CC) charging mode, and constant voltage (CV) charging mode. Additionally, a novel energy management algorithm is designed to ensure battery safety and determine the system’s mode of operation, considering weather conditions and load demand variations. Interestingly, no solar irradiation or battery SOC sensors are required for the implementation of the control system. Nonlinear and robust controllers are developed to provide the necessary control input laws for the management algorithm. The robustness and stability of the system are verified using the Lyapunov theory. Furthermore, the paper quantifies the performance of the proposed strategy through a comparative analysis using integral of absolute error (IAE) indices against two conventional control approaches. Simulation results validate the effectiveness of the proposed controller strategy, demonstrating its high performance and ability to meet the specified objectives. This work presents an innovative approach to enhance the efficiency and reliability of stand-alone PV energy conversion systems with battery storage, offering promising prospects for sustainable energy applications.

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具有蓄电池储能管理的单机光伏发电系统多目标控制与优化
本文研究了集成电池储能系统的独立光伏(PV)能量转换系统的控制问题。该研究的重点是光伏板、DC/AC转换器、锂离子电池和直流负载的一系列关联。光伏发电的间歇性和负载需求的频繁变化降低了电池的使用寿命和充电性能。为了解决这些问题,本文提出了一种高效的电池充电控制器,以即时平衡输送到直流负载和电池的光伏功率流,确保光伏功率的最佳利用和适当的电池充电。根据太阳能可用电量、电池荷电状态(SOC)和直流负载需求,控制器可适应三种充电模式,即最大功率点跟踪(MPPT)充电模式、恒流(CC)充电模式和恒压(CV)充电模式。此外,设计了一种新的能量管理算法,以确保电池安全,并确定系统的运行模式,考虑天气条件和负载需求变化。有趣的是,控制系统的实施不需要太阳辐射或电池SOC传感器。设计了非线性鲁棒控制器,为管理算法提供必要的控制输入规律。利用李亚普诺夫理论验证了系统的鲁棒性和稳定性。此外,本文通过使用绝对误差积分(IAE)指标与两种传统控制方法的比较分析来量化所提出策略的性能。仿真结果验证了所提控制器策略的有效性,证明了其高性能和满足指定目标的能力。这项工作提出了一种创新的方法来提高具有电池存储的独立光伏能源转换系统的效率和可靠性,为可持续能源应用提供了广阔的前景。
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来源期刊
IFAC Journal of Systems and Control
IFAC Journal of Systems and Control AUTOMATION & CONTROL SYSTEMS-
CiteScore
3.70
自引率
5.30%
发文量
17
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