Predictive energy management for a wind turbine with hybrid energy storage system

González-Rivera, Enrique; Sarrias‐Mena, Raúl; García‐Triviño, Pablo; Fernández‐Ramírez, Luis M.

doi:10.1002/er.5082

Cited by 25 publications

(16 citation statements)

References 52 publications

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“…The essential role of the supervisory controller is to satisfy the loads demand without interruption under variable weather conditions, by managing the power flow of the IHPS [19][20][21][22][23]. The proposed energy management algorithm uses primarily the power provided by the PVS and WECS to supply the load, and minimizes the use of the batteries and DG for optimizing of fuel consumption and saving the environment.…”

Section: -Energy Management System For Ihpsmentioning

confidence: 99%

Optimal Management Energy System and Control Strategies for Isolated Hybrid Solar-Wind-Battery-Diesel Power System

2021

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This paper proposes optimal control strategies of a standalone Hybrid Power System (HPS) to supply sustainable and optimal energy to an isolated site with improved quality of electrical energy. A topology of Isolated Hybrid Power System (IHPS) is proposed, consists of: a Photovoltaic System (PVS), a Wind Energy Conversion System (WECS), electronic power devices controlled to maximize energy production from renewable sources and to maintain the constant DC-link voltage, a Battery Energy Storage System (BESS), Diesel Generator (DG), and a Pulse Width Modulation (PWM) Voltage Source Inverter (VSI) located at the load-side end. In addition, a novel control strategy has been proposed, in this work, to maximize the power from the PVS. This presented strategy, based on the combination between Perturb and Observe (P&O) algorithm and the Fuzzy PI Controller (FPIC), presents a good performance, especially in the dynamic state compared to the classical algorithm P&O. A supervisory control algorithm has been elaborated to manage the energy flows between the devices of the hybrid system to make the decision of the optimal operating mode in order to ensure a continuous supply of the load with minimum usage of batteries and DG. The simulation results developed in the Matlab/Simulink environment are applied to show the efficiency and performance of the proposed control strategies in terms of power optimization and energy management. Doi: 10.28991/esj-2021-01262 Full Text: PDF

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Section: -Energy Management System For Ihpsmentioning

confidence: 99%

Optimal Management Energy System and Control Strategies for Isolated Hybrid Solar-Wind-Battery-Diesel Power System

2021

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“…The cost function is defined by (9). This function must comply with (10) and the restrictions in (11). (11) where the power limits of the BES are denoted as −P max BES (maximum discharging power) and P max BES (maximum charging power), and the power limits of the hydrogen system are denoted as −P max ELZ (maximum power absorbed by the EZ) and P max FC (maximum power generated by the FC).…”

Section: A Cost Calculation Systemmentioning

confidence: 99%

“…Model predictive control (MPC) as an EMS in hybrid power systems combining renewable resources and ESS has been applied in several studies. In [11], a MPC-based EMS was used to regulate the SOC of an ultracapacitor. In this study, the costs of the system were not considered, and short-term operation was considered.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control-Based Optimized Operation of a Hybrid Charging Station for Electric Vehicles

et al. 2021

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This paper presents an energy management system (EMS) based on a novel approach using model predictive control (MPC) for the optimized operation of power sources in a hybrid charging station for electric vehicles (EVs). The hybrid charging station is composed of a photovoltaic (PV) system, a battery, a complete hydrogen system based on a fuel cell (FC), electrolyzer (EZ), and tank as an energy storage system (ESS), grid connection, and six fast charging units, all of which are connected to a common MVDC bus through Z-source converters (ZSC). The MPC-based EMS is designed to control the power flow among the energy sources of the hybrid charging station and reduce the utilization costs of the ESS and the dependency on the grid. The viability of the EMS was proved under a long-term simulation of 25 years in Simulink, using real data for the sun irradiance and a European load profile for EVs. Furthermore, this EMS is compared with a simpler alternative that is used as a benchmark, which pursues the same objectives, although using a states-based strategy. The results prove the suitability of the EMS, achieving a lower utilization cost (-25.3%), a notable reduction in grid use (-60% approximately) and an improvement in efficiency.

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“…While wind power accessing the grid, the generator will put a very strong pulse current, which will easily lead to the shutdown or failure of the electrical equipment of the access circuit 74 . Studies have shown that hybrid energy storage systems can mitigate fluctuations and variable availability of certain renewable resources such as wind energy, because they can provide support in different time frames 75 . It is necessary to establish a energy storage system to smooth power fluctuations and further increase costs.…”

Section: Advantages and Constraints Of Owecmentioning

confidence: 99%

A review on development of offshore wind energy conversion system

Wang

et al. 2020

Int J Energy Res

129

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Summary Wind energy conversion system, aiming to convert mechanical energy of air flow into electrical energy has been widely concerned in recent decades. According to the installation sites, the wind energy conversion system can be divided into land‐based wind conversion system and offshore wind energy conversion (OWEC) system. Compared to land‐based wind energy technology, although OWEC started later, it has attracted more attentions due to its significant advantages in sufficient wind energy, low wind shear, high power output and low land occupancy rate. In this paper, the principle of wind energy conversion and the development status of offshore wind power in the world are briefly introduced at first. And then, the advantages and disadvantages of several offshore wind energy device (OWED), such as horizontal axis OWED, vertical axis OWED and cross axis OWED are compared. Subsequently, several major constraints, such as complex marine environment, deep‐sea power transmission and expensive cost of equipment installation faced by offshore wind conversion technology are presented and comprehensively analysed. Finally, based on the summary and analysis of some emerging technologies and the current situation of offshore wind energy utilization, the development trend of offshore wind power is envisioned. In the future, it is expected to witness multi‐energy complementary, key component optimization and intelligent control strategy for smooth energy generation of offshore wind power systems.

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Predictive energy management for a wind turbine with hybrid energy storage system

Cited by 25 publications

References 52 publications

Optimal Management Energy System and Control Strategies for Isolated Hybrid Solar-Wind-Battery-Diesel Power System

Optimal Management Energy System and Control Strategies for Isolated Hybrid Solar-Wind-Battery-Diesel Power System

Model Predictive Control-Based Optimized Operation of a Hybrid Charging Station for Electric Vehicles

A review on development of offshore wind energy conversion system

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