Optimal energy management system for stand-alone wind turbine/photovoltaic/hydrogen/battery hybrid system with supervisory control based on fuzzy logic

García, Pedro López; Torreglosa, Juan P.; Fernández, Luis Martín Sobrado; Jurado, Francisco

doi:10.1016/j.ijhydene.2013.08.106

Cited by 172 publications

(72 citation statements)

References 24 publications

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“…The batery/supercapacitor hybrid energy storage system operates as an auxiliary source for supplying the power deicit based on dynamic balance strategy. An optimal energy management system for a stand-alone wind turbine/photovoltaic/hydrogen/batery hybrid system with supervisory control based on fuzzy logic is presented in Pablo et al [23]. The energy management system in Ref.…”

Section: Cycle-charging and Load-following Dispatch Strategymentioning

confidence: 99%

“…The energy management system in Ref. [23] uses a fuzzy logic control to satisfy the energy demanded by the load and maintain the state-of-charge of the batery and the hydrogen tank level between desired target margins, while trying to optimize the utilization cost and lifetime of the energy storage system. A new method to model and control the aggregated power demand from a population of thermostatically controlled load, with the goal of delivering ancillary services such as frequency regulation and load following, is developed by Callaway [24].…”

Section: Cycle-charging and Load-following Dispatch Strategymentioning

confidence: 99%

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Techno-Economic Feasibility Study of Autonomous Hybrid AC/DC Microgrid System

Raji¹

2017

System Reliability

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Distributed generation technology based on diesel generators often has been considered as a viable solution to providing power to remote areas, but the sky-rocketing of diesel fuel price and the increasing cost of delivery to such remote sites have called for providing a sustainable solution that is environmentally friendly, economical, afordable, and easily accessible. To this end, the use of locally available energy resources is accepted as a sustainable solution in providing electricity for rural and remote setlements. The system cost of wind and solar energy systems is continuously decreasing because of the increase in the acceptance and deployment of the energy systems based on these renewable energy resources. A standalone hybrid AC/DC electric power system is designed, modeled, simulated, and optimized in HOMER Pro. HOMER is a Hybrid Optimization Model of Electric Renewable that enables the comparison of electric and thermal power production technologies across an extensive variety of applications. Both cycle-charging and load-following dispatched strategies are investigated. Plausible selected system components ratings are chosen for the simulation to ensure that there is enough search space for HOMER Pro to obtain an optimal system coniguration. Net present cost (NPC) is used as an economic metric to assess the optimal coniguration that is technically feasible.

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Section: Cycle-charging and Load-following Dispatch Strategymentioning

confidence: 99%

Section: Cycle-charging and Load-following Dispatch Strategymentioning

confidence: 99%

Techno-Economic Feasibility Study of Autonomous Hybrid AC/DC Microgrid System

Raji¹

2017

System Reliability

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“…Similarly, scheduling of battery energy storage systems (BESSs) based on environmental conditions is also stochastic in nature [12]. Therefore, fuzzy logic-based scheduling has been used by various researchers [13][14][15][16][17]. Fuzzy set theory can encompass such subjective decision-making process due to its ability to define human reasoning.…”

Section: Introductionmentioning

confidence: 99%

“…A fuzzy logic controller was used by [13] to satisfy the energy demand, maintain the state-of-charge (SOC) of BESS, and hydrogen tank level while optimizing the operation cost and lifetime of energy storage systems. Fuzzy logic is used to define the working state of BESS by [14], which is determined by SOC and the terminal voltage of BESS.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic-Based Operation of Battery Energy Storage Systems (BESSs) for Enhancing the Resiliency of Hybrid Microgrids

2017

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Abstract:The resiliency of power systems can be enhanced during emergency situations by using microgrids, due to their capability to supply local loads. However, precise prediction of disturbance events is very difficult rather the occurrence probability can be expressed as, high, medium, or low, etc. Therefore, a fuzzy logic-based battery energy storage system (BESS) operation controller is proposed in this study. In addition to BESS state-of-charge and market price signals, event occurrence probability is taken as crisp input for the BESS operation controller. After assessing the membership levels of all the three inputs, BESS operation controller decides the operation mode (subservient or resilient) of BESS units. In subservient mode, BESS is fully controlled by an energy management system (EMS) while in the case of resilient mode, the EMS follows the commands of the BESS operation controller for scheduling BESS units. Therefore, the proposed hybrid microgrid model can operate in normal, resilient, and emergency modes with the respective objective functions and scheduling horizons. Due to the consideration of resilient mode, load curtailment can be reduced during emergency operation periods. Numerical simulations have demonstrated the effectiveness of the proposed strategy for enhancing the resiliency of hybrid microgrids.

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“…[2]. Garcia et al [3] present an optimal energy management system for standalone wind turbine/photovoltaic/hydrogen/batery hybrid based on fuzzy logic. Also, Ben Salah et al [4] and Athari and Ardehali [5] are using fuzzy logic to facilitate the integration of renewable energy into residential or decentralized small power grid applications.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Energy Management for a Residential Power System Using Renewable Energy Sources

Breban¹,

Gros²,

Marginean³

et al. 2017

Modern Fuzzy Control Systems and Its Applications

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A fuzzy logic energy management algorithm is proposed for a hybrid wind/photovoltaic (PV) power generation unit, an electric vehicle batery, and a heat pump for household applications. The proposed concept refers to two independent power systems-a light electric vehicle and a household that interact through light, interchangeable bateries; moreover, they are powered from a renewable energy system comprising PV panels, wind generator, and appropriate MPPT-based converters. The main features of the concept are the heat pump load that produces thermal energy, as the main electric load of the system, and the storage element that is alternately used by the vehicle, which can be recharged from renewable sources. The presented algorithm allows the implementation, by means of fuzzy tools, of an appropriate energy management control system in order to obtain maximum utilization of the renewable energy. The results show that most of the energy required to charge the batery and to feed the heat pump can be covered from renewable sources.

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Optimal energy management system for stand-alone wind turbine/photovoltaic/hydrogen/battery hybrid system with supervisory control based on fuzzy logic

Cited by 172 publications

References 24 publications

Techno-Economic Feasibility Study of Autonomous Hybrid AC/DC Microgrid System

Techno-Economic Feasibility Study of Autonomous Hybrid AC/DC Microgrid System

Fuzzy Logic-Based Operation of Battery Energy Storage Systems (BESSs) for Enhancing the Resiliency of Hybrid Microgrids

Fuzzy Logic Energy Management for a Residential Power System Using Renewable Energy Sources

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