A Multi-Filter Based Dynamic Power Sharing Control for a Hybrid Energy Storage System Integrated to a Wave Energy Converter for Output Power Smoothing

Rasool, Safdar; Muttaqi, Kashem M.; Sutanto, Danny

doi:10.1109/tste.2022.3170938

Cited by 38 publications

(9 citation statements)

References 35 publications

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“…Generally speaking, w ′ c is preset according to the desired power allocation dynamics between the batteries and SCs. Based on Eq (18), Fig. 7 and Fig.…”

Section: Parameters Design Of the Proposed Control Strategymentioning

confidence: 99%

“…The amount, rate, and time-duration of the energy absorbed/discharged from the battery are optimized [17]. A multi-filter based dynamic power-sharing control strategy is proposed in [18] for single HESS, which is integrated to a wave energy converter for output power smoothing. However, these filter-based methods have the same issue as the intelligent control methods, in that they are also centralized, and need a communication network to transfer the current reference to each energy storage units.…”

Section: Introductionmentioning

confidence: 99%

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A Decentralized Power Allocation Strategy for Dynamically Forming Multiple Hybrid Energy Storage Systems Aided With Power Buffer

Zhang

et al. 2023

IEEE Trans. Sustain. Energy

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Multiple hybrid energy storage systems (HESSs) consisting of batteries and super-capacitors (SCs) are widely used in DC microgrids to compensate for the power mismatch. According to their specific energy and power characteristics, batteries and SCs are used to compensate low-frequency and highfrequency power mismatches, respectively. This paper proposes a decentralized power allocation strategy for dynamically forming multiple HESSs aided with a novel power buffer. The power buffer is a device combing a capacitor and a bidirectional DC-DC converter, it is used as an interface between the batteries and DC bus, allowing easy Plug-and-Play of different energy storage units and effective and efficient power allocation. First, the power buffer and SCs split the power mismatch into a low-frequency and high-frequency part with a modified I-V droop control. Then the power buffer transfers the low-frequency mismatch to the batteries for compensation based on their respective state-ofcharges (SoCs), while the high-frequency part is dealt by the SCs directly. This new scheme further allows elimination of the DC bus voltage deviations. Finally, the real-time hardware-inloop (HIL) tests of three case studies confirm the effectiveness of the proposed control strategy.

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“…Generally speaking, w ′ c is preset according to the desired power allocation dynamics between the batteries and SCs. Based on Eq (18), Fig. 7 and Fig.…”

Section: Parameters Design Of the Proposed Control Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Decentralized Power Allocation Strategy for Dynamically Forming Multiple Hybrid Energy Storage Systems Aided With Power Buffer

Zhang

et al. 2023

IEEE Trans. Sustain. Energy

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“…The mixed application of the three methods mentioned above is applied in the D‐DWEC system, as shown in Figure 14. The topological structure based on power electronics have been studied in [94], which can effectively smoothen the power and improve the quality of output power.…”

Section: Electrical Power Processing Control For D‐dwec Systemmentioning

confidence: 99%

Direct‐Drive wave energy conversion with linear generator: A review of research status and challenges

Zhang

Chen

2022

IET Renewable Power Gen

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Ocean wave energy is sustainable and renewable energy, wave energy conversion (WEC) effectively solves the disadvantage of traditional power system with fossil energy. WEC system is the power generation process that converts wave kinetic energy of undulation and swing into electric energy, and direct-drive WEC system (D-DWEC) converts wave energy into electric power directly by linear generator to improve the efficiency. At present, the research of WEC system has the characteristic of interdisciplinary, multi-system integration, engineering application, and commercial operation. This paper summarizes the types, principle, and classification of WEC system, mainly focusing on the aspects of the kinds and characteristics of linear generators used in D-DWEC system, power post-processing, and power control methods. At the end of the paper, giving the development trend and challenges of D-DWEC technology, the research of ocean complementary energy generation platform with offshore wind, solar and ocean wave energy is analysed. It shows that the platform has advantages owing to stable power output, efficient utilization, ocean saving-space, and power generation cost reduction.

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“…Additionally, control of the integrated wave power generation systems, which comprise PMLSGs serially connected to VSCs, is a subtle task that should compensate for the complicated nonlinear dynamics and multivariable structure of these energy conversion units [24][25][26][27]. Among recent results in PMLSG and VSC-based wave power conversion systems, one can distinguish methods for maximizing the amount of wave power finally converted to exploitable electric power [28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Optimal Control for a PMLSG-VSC Wave Energy Conversion Unit

Rigatos,

Siano,

Numay

et al. 2024

J Energ Power Technol

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This article aims to treat the nonlinear control problem for the complex dynamics of a wave energy unit (WEC) that consists of a Permanent Magnet Linear Synchronous Generator (PMLSG) and a Voltage Source Converter (VSC). The article has developed a globally stable nonlinear optimal control method for this wave power generation unit. The new method avoids complicated state-space model transformations and minimizes the energy dispersion by the control loop. A novel nonlinear optimal control method is proposed for the dynamic model of a wave energy conversion system, which includes a Permanent Magnet Linear Synchronous Generator (PMLSG) serially connected with an AC/DC three-phase voltage source converter (VSC). The dynamic model of this renewable energy system is formulated and differential flatness properties are proven about it. To apply the proposed nonlinear optimal control, the state-space model of the PMLSG-VSC wave energy conversion unit undergoes an approximate linearization process at each sampling instance. The linearization procedure relies on a first-order Taylor-series expansion and involves the computation of the system’s Jacobian matrices. It takes place at each sampling interval around a temporary operating point, which is defined by the present value of the wave energy conversion unit’s state vector and by the last sampled value of the control inputs vector. An H-infinity feedback controller is designed for the linearized model of the wave energy conversion unit. To compute the feedback gains of this controller, an algebraic Riccati equation is repetitively solved at each time step of the control algorithm. The global stability properties of the control scheme are proven through Lyapunov analysis.

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A Multi-Filter Based Dynamic Power Sharing Control for a Hybrid Energy Storage System Integrated to a Wave Energy Converter for Output Power Smoothing

Cited by 38 publications

References 35 publications

A Decentralized Power Allocation Strategy for Dynamically Forming Multiple Hybrid Energy Storage Systems Aided With Power Buffer

A Decentralized Power Allocation Strategy for Dynamically Forming Multiple Hybrid Energy Storage Systems Aided With Power Buffer

Direct‐Drive wave energy conversion with linear generator: A review of research status and challenges

Nonlinear Optimal Control for a PMLSG-VSC Wave Energy Conversion Unit

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