Coordinated control and dynamic optimization in DC microgrid systems

Babaiahgari, Bhanu; Ullah, Habib; Park, Jae Do

doi:10.1016/j.ijepes.2019.05.076

Cited by 32 publications

(8 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Usually, the PV system consists of many individual PV cells connected in series and parallel. These PV cells form a PV array and use a DC-DC boost converter to match the output voltage of the PV array with the DC microgrid common bus voltage [20]. The equivalent circuit of a PV system is shown in Fig.…”

Section: Mathematical Model Of the Pv Systemmentioning

confidence: 99%

Voltage Feed-Forward Control of Photovoltaic- Battery DC Microgrid Based on Improved Seeker Optimization Algorithm

Wu,

Gong,

Mao

et al. 2024

IEEE Access

View full text Add to dashboard Cite

The photovoltaic-battery DC microgrid is a new type of power system supply architecture that can effectively utilize renewable energy and is suitable for modern DC electrical equipment. In this paper, a fast and efficient maximum power point tracking (MPPT) photovoltaic (PV) control method and a battery energy storage system (BESS) bus control method are proposed to improve the PV utilization and the bus voltage performance. Firstly, the principle of photovoltaic-battery and power balance is analyzed, and the mathematical model of each distributed generation in the DC microgrid is derived. Secondly, by introducing the voltage increment and time-varying smoothing factor, the exponential variable step perturbation and observation method for PV controller is proposed to accelerate the MPPT process. Considering the intermittent disturbance of PV energy absorption and large power fluctuation on the DC bus, parameters of BESS voltage controller are optimized by the improved seeker optimization algorithm (ISOA) which is improved by the variational Cauchy operator and chaotic initialization optimization strategy. Furthermore, to improve the voltage closed-loop response speed and reduce the hysteresis characteristics, a feed-forward compensation strategy is designed. Finally, multi-scheme simulation experiments are implemented in MATLAB/Simulink. Compared with the experimental results of traditional control method, the proposed method reduces the average voltage ripple percentage from 3% to 1%, and improves the MPPT response speed from 70ms to 10ms. The experimental results verified the correctness and effectiveness of the proposed method.INDEX TERMS DC microgrid; voltage stabilization control; PID control; seeker optimization algorithm; maximum power point tracking.

show abstract

Section: Mathematical Model Of the Pv Systemmentioning

confidence: 99%

Voltage Feed-Forward Control of Photovoltaic- Battery DC Microgrid Based on Improved Seeker Optimization Algorithm

Wu,

Gong,

Mao

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The cost of an AC microgrid is relatively high, and all distributed power sources, energy storage devices, and loads in a DC microgrid are connected to the DC busbar, which reduces power loss and improves power utilization, which is the development trend of distributed power generation systems in the future. It is also an important part of the future power supply and distribution system [7][8]. Due to the increasing load power consumption in the DC microgrid, it is difficult for a single microgrid to ensure the capacity constraints of the grid and the stability of the power supply [9].…”

Section: Introductionmentioning

confidence: 99%

Busbar Voltage Control of DC Microgrid Group Based on Whale Optimization Algorithm and Fuzzy Control

Zhao

Xiao²,

Zhou³

2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Aiming at the problems of system response lag, poor anti-interference ability, and poor recovery ability of fuzzy dual closed-loop control, this paper proposes a fuzzy dual closed-loop control based on a whale optimization algorithm to optimize the control effect by simulating the foam attack mechanism of humpback whales, solving mathematical and structural optimization problems, adjusting quantization factor and scaling factor, and adjusting PI parameters in real-time. Matlab/Simulink is used to create the model. The experimental results show that the system has a quicker reaction, smaller overshoot, greater anti-interference capability, and improved robustness in various situations under the new control strategy.

show abstract

“…To enhance energy efficiency and reliability, distributed optimizations are implemented for dc microgrids to minimize the operation loss [28]- [30]. Nevertheless, optimization and control are performed at different time scales in these methods, which makes it hard to realize real-time optimization in dc microgrids [31].…”

Section: Introductionmentioning

confidence: 99%

Operation Loss Minimization Targeted Distributed Optimal Control of DC Microgrids

Fan

Peng

et al. 2021

IEEE Systems Journal

View full text Add to dashboard Cite

Coordinated control and dynamic optimization in DC microgrid systems

Cited by 32 publications

References 28 publications

Voltage Feed-Forward Control of Photovoltaic- Battery DC Microgrid Based on Improved Seeker Optimization Algorithm

Voltage Feed-Forward Control of Photovoltaic- Battery DC Microgrid Based on Improved Seeker Optimization Algorithm

Busbar Voltage Control of DC Microgrid Group Based on Whale Optimization Algorithm and Fuzzy Control

Operation Loss Minimization Targeted Distributed Optimal Control of DC Microgrids

Contact Info

Product

Resources

About