Multi-objective planning and optimization of microgrid lithium iron phosphate battery energy storage system consider power supply status and CCER transactions

Yang, Peihuan; Yu, Leibo; Wang, Xianzheng; Zheng, Ping; Lv, Xiaoqing; Jian, Yue

doi:10.1016/j.ijhydene.2022.06.300

Cited by 14 publications

(4 citation statements)

References 43 publications

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“…LIB working characteristic.-Marine power LIBs are mainly lithium iron phosphate, which generates current through the movement of lithium ions and electrons inside, at this point the capacity of the battery decreases as the discharge proceeds. 26,27 The battery capacity is considered to have experienced a cycle when the accumulated capacity reaches the rated capacity. Meanwhile, the capacity also decays with the increase in the number of discharges.…”

Section: Lib Working Characteristics and Health Indicatorsmentioning

confidence: 99%

Prediction of Battery SOH and RUL Based on Cooperative Characteristics in Voltage-Temperature-Time Dimensions

Tang,

Zhang,

Ning

et al. 2023

J. Electrochem. Soc.

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In the prognostics health management (PHM) of marine power lithium batteries, the estimation of the state of health (SOH) and the prediction of remaining useful life (RUL) are of great importance to ensure the battery operational safety and efficiency. In this study, an improved multivariate dimensionality-reduction for Bayesian optimized bi-directional long short-term memory (IMD-BiLSTM) algorithm is proposed and applied to realize SOH estimation and RUL prediction of lithium battery. Specifically, based on the discharging data of lithium battery under specific operating conditions, several health indicators are proposed for the work. On this basis, a collaborative dimensionality reduction algorithm based on Pearson correlation and principal component analysis is proposed to further retain feature information and reduce input dimensionality. Then, the prediction model based on BiLSTM is established, in which the hyperparameters are optimized by Bayesian algorithm. Finally, the effectiveness of the proposed IMD-BiLSTM method is verified by experiments based on the NASA PCoE dataset, and the prediction accuracies of SOH and RUL are emphatically analyzed. Numerical simulation results show that the proposed IMD-BiLSTM-method can effectively extract battery health characteristics and achieve dimensionality reduction. In addition, the proposed IMD-BiLSTM-method significantly outperforms the compared state-of-the-art algorithms in SOH/RUL prediction accuracy and robustness.

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Section: Lib Working Characteristics and Health Indicatorsmentioning

confidence: 99%

Prediction of Battery SOH and RUL Based on Cooperative Characteristics in Voltage-Temperature-Time Dimensions

Tang,

Zhang,

Ning

et al. 2023

J. Electrochem. Soc.

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“…CBMG systems that convert to islands after a power failure in the distribution system are complicated by their voltage/frequency changes [18]. Its charging and output can be adjusted according to load and PV changes.…”

Section: Traditional Control Policiesmentioning

confidence: 99%

Emergency Energy Management of Microgrid in Industrial Park Based on Robust Optimization

Yang,

Dong,

Yang

2023

ENERGY

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Reducing the impact of power outages and maintaining the power supply duration must be considered in implementing emergency energy dispatching in micro-networks. This paper studies a new emergency energy treatment method based on the robust optimal method and the industrial park micro-network with the optical energy storage system. After controlling the load input, a control strategy of adjusting and removing is proposed. Rolling optimal theory is applied to emergency energy scheduling based on a robust optimal mathematical model. A weighting factor is introduced into the optimal model to balance the importance of reducing and retaining the power supply. Uncertainty is designed to adjust the effect of uncertainty on the problem. The example shows that this method can flexibly set the weight coefficient and uncertainty value according to the actual situation so that the input of the control load can be optimized.

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“…In recent years, with the booming development of DC micro-grids, 1,2 distributed generations, 3,4 and electric vehicles, 5,6 there has been a growth in the popularity of energy storage systems, mainly battery energy storage system (BESS). [7][8][9] The batteries are generally categorized into primary and secondary batteries, where secondary batteries are most popularly used due to their recharging characteristics. However, to achieve maximum performance in secondary batteries, also known as rechargeable batteries, the charging and the discharging operation should be synchronized with the electrochemical process to ensure uniform concentrations of ions at the electrodes.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, with the booming development of DC micro‐grids, 1,2 distributed generations, 3,4 and electric vehicles, 5,6 there has been a growth in the popularity of energy storage systems, mainly battery energy storage system (BESS) 7–9 . The batteries are generally categorized into primary and secondary batteries, where secondary batteries are most popularly used due to their recharging characteristics.…”

Section: Introductionmentioning

confidence: 99%

PSO based universal phase shift modulation scheme for DAB converter to eliminate backflow power in energy storage applications

Bheemraj

Karthikeyan

Kumaravel

2023

Circuit Theory & Apps

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SummaryIn battery energy storage system (BESS) applications, the life of the battery depends on the quality of the charging/discharging current. However, the dual active bridge (DAB) converter, which interfaces BESS with the DC link, suffers from a backflow current in all modulation schemes, degrading the battery's performance. Hence, this paper proposes a particle swarm optimization (PSO) based universal phase shift (UPS) modulation scheme to improve the battery's life. In the proposed modulation scheme, the phase shift ratio of DAB to eliminate the backflow power is estimated using PSO. Also, it is observed that there is an improvement in the zero voltage switching (ZVS) range of the DAB. Hence, the overall efficiency of the DAB converter is increased over a wide operating region. The operating principle of the proposed modulation scheme, steady state analysis of power transmission, and backflow power are reported in this paper. The theoretical performance of the proposed modulation scheme is validated in a 2 kW experimental setup.

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Multi-objective planning and optimization of microgrid lithium iron phosphate battery energy storage system consider power supply status and CCER transactions

Cited by 14 publications

References 43 publications

Prediction of Battery SOH and RUL Based on Cooperative Characteristics in Voltage-Temperature-Time Dimensions

Prediction of Battery SOH and RUL Based on Cooperative Characteristics in Voltage-Temperature-Time Dimensions

Emergency Energy Management of Microgrid in Industrial Park Based on Robust Optimization

PSO based universal phase shift modulation scheme for DAB converter to eliminate backflow power in energy storage applications

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