Coordinated Power Control for Islanded DC Microgrids Based on Bus-Signaling and Fuzzy Logic Control

Chai, Junwei; Peng, Yonggang

doi:10.1109/ei2.2018.8581985

Cited by 5 publications

(6 citation statements)

References 12 publications

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“…A new droop characteristic for the battery controller has developed, which is suitable for interconnected dc microgrid compared to existing bus-signaling. [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] In low SoC and normal operating scenarios, the proposed PMS can charge a lower SoC battery at a faster rate compared to the existing strategy. 23,30 In NOM, by adjusting r d, the charging rate of the battery in any subgrid can be modified as per convenience.…”

Section: Discussionmentioning

confidence: 99%

“…Further, DC bus voltages are regulated depending on the charging and discharging power of the battery. 25 Therefore, a charging/discharging power-based droop characteristics of battery is developed for dc bus voltage regulation. In NOM, by considering the charging and discharging power of the battery, the dc bus voltage can be shown as:…”

Section: Battery Controllermentioning

confidence: 99%

“…Moreover, coordination between battery and DG and power management between the dc microgrid elements using dc bus-signaling methods has been proposed in various literature. [24][25][26][27][28][29] Besides the charging and discharging power of the battery, a power sharing strategy between interlinked subgrids, when power is surplus or deficient in subgrids, is essential. 30 This makes the system reliable and efficient usage of generation.…”

Section: Introductionmentioning

confidence: 99%

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A novel dc bus‐signaling based power management strategy for dc microgrid

Panda

Bhaskar

Maity

2020

Int Trans Electr Energ Syst

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Summary This article presents a novel power management strategy for a dc microgrid based on dc bus‐signaling method. The dc microgrid has two subgrids connected through an interlinking bi‐directional dc/dc converter (IBD). In each subgrid, a novel charging and discharging power‐based droop control and state‐of‐charge (SoC) based droop control of the battery are designed to regulate the dc bus voltage. Considering the dc bus voltages, a power management controller is implemented for IBD. It operates by the normalized voltages of subgrids. IBD helps to regulate the dc bus voltages by sharing power among the subgrids. Further, a coordinated power control method is applied to the distributed generation (DG) controller. In full‐charging mode or high SoC mode of battery, it regulates the DG power generation. Hence, storage and generation coordination can be achieved. In an overloaded case, a load curtailment process is developed to regulate the dc bus voltage at its lower cut off value. The dc bus voltages act as information carriers to IBD and DG controllers. Hence, the proposed method does not depend on the communication line, which improves system reliability. The power management strategy has been implemented in islanded dc microgrid in Matlab/Simulink. Its results are compared with the conventional dc bus‐signaling method to analyze its effectiveness.

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Section: Discussionmentioning

confidence: 99%

Section: Battery Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A novel dc bus‐signaling based power management strategy for dc microgrid

Panda

Bhaskar

Maity

2020

Int Trans Electr Energ Syst

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“…Du et al [21] propose a control strategy for coordinating neighboring autonomous MGs using a smart switch, focusing on power sharing without considering internal component coordination. Chai and Peng [22] propose a decentralized coordinated power control approach for islanding MGs, combining bus voltage signals with fuzzy logic control, without inter-MG interconnections. Rahman et al [6] design a cooperative MAS for energy sharing in MGs, using graph theory to establish communication links between controllable batteries and clients.…”

Section: Related Workmentioning

confidence: 99%

An Autonomous Distributed Coordination Strategy for Sustainable Consumption in a Microgrid Based on a Bio-Inspired Approach

García,

Aguilar,

R-Moreno

2024

Energies

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Distributed energy resources have demonstrated their potential to mitigate the limitations of large, centralized generation systems. This is achieved through the geographical distribution of generation sources that capitalize on the potential of their respective environments to satisfy local demand. In a microgrid, the control problem is inherently distributed, rendering traditional control techniques inefficient due to the impracticality of central governance. Instead, coordination among its components is essential. The challenge involves enabling these components to operate under optimal conditions, such as charging batteries with surplus solar energy or deactivating controllable loads when market prices rise. Consequently, there is a pressing need for innovative distributed strategies like emergent control. Inspired by phenomena such as the environmentally responsive behavior of ants, emergent control involves decentralized coordination schemes. This paper introduces an emergent control strategy for microgrids, grounded in the response threshold model, to establish an autonomous distributed control approach. The results, utilizing our methodology, demonstrate seamless coordination among the diverse components of a microgrid. For instance, system resilience is evident in scenarios where, upon the failure of certain components, others commence operation. Moreover, in dynamic conditions, such as varying weather and economic factors, the microgrid adeptly adapts to meet demand fluctuations. Our emergent control scheme enhances response times, performance, and on/off delay times. In various test scenarios, Integrated Absolute Error (IAE) metrics of approximately 0.01% were achieved, indicating a negligible difference between supplied and demanded energy. Furthermore, our approach prioritizes the utilization of renewable sources, increasing their usage from 59.7% to 86.1%. This shift not only reduces reliance on the public grid but also leads to significant energy cost savings.

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“…Similarly, a control strategy of BESS based on fuzzy control theory is presented to alleviate the grid‐connected fluctuating power of PV power plants [21]. In [22], a decentralized coordinated power control approach is proposed with considering the limits of maximum charging/discharging power of ESS, combining dc bus voltage signal with fuzzy logic control to achieve power management for islanded dc microgrids. In [23], a fuzzy logic‐based algorithm developed for battery storage power management (BSPM) and demand side power management (DSPM) is proposed, and the battery can suppress fluctuating power and save electricity costs under changing lighting.…”

Section: Introductionmentioning

confidence: 99%

A hybrid energy storage strategy based on multivariable fuzzy coordinated control of photovoltaic grid‐connected power fluctuations

Cen

2021

IET Renewable Power Gen

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Aiming at the problem that the grid-connected power fluctuation of the photovoltaic power system affects the stability of grid operation, a multivariable fuzzy coordinated control strategy for photovoltaic grid-connected power fluctuation based on super-capacitor and battery is proposed. First, a multivariable fuzzy controller is established based on the grid-connected estimated fluctuation power of the photovoltaic power system and the current energy state of charge of super-capacitor and battery. The fuzzy relational matrix is used to introduce interaction effects of inputs into the fuzzy control, the fuzzy relation matrix is established by multiplying with weights, and the time constant of the low-pass filter is adjusted to coordinate the distribution of fluctuating power between different energy storage in real-time. Second, according to the SOC variation of HESS, a super-capacitor fuzzy controller and battery fuzzy controller are established to modify the charging and discharging instructions of battery and super-capacitor. The charging and discharging power of the energy storage are constraints to optimize the charging and discharging power of the energy storage, and the energy state of the HESS is updated in real-time. Finally, an overall example analysis of fuzzy coordinated control is performed to verify the effectiveness of the proposed control strategy.

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Coordinated Power Control for Islanded DC Microgrids Based on Bus-Signaling and Fuzzy Logic Control

Cited by 5 publications

References 12 publications

A novel dc bus‐signaling based power management strategy for dc microgrid

A novel dc bus‐signaling based power management strategy for dc microgrid

An Autonomous Distributed Coordination Strategy for Sustainable Consumption in a Microgrid Based on a Bio-Inspired Approach

A hybrid energy storage strategy based on multivariable fuzzy coordinated control of photovoltaic grid‐connected power fluctuations

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