A fuzzy based method for leveling output power fluctuations of photovoltaic-diesel hybrid power system

Datta, Manoj; Senjyu, Tomonobu; Yona, Atsushi; Funabashi, Toshihisa

doi:10.1016/j.renene.2010.12.009

Cited by 40 publications

(18 citation statements)

References 33 publications

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“…Fuzzy logic has been used for decades in the fields of distributed generation [22]- [26]. The main purpose of this research is to develop a frequency control strategy by using the PEVs.…”

Section: Fuzzy Controller Based V2g Infrastruturementioning

confidence: 99%

Fuzzy logic based frequency control by V2G aggregators

Datta

2014

2014 IEEE 5th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

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This paper presents a fuzzy based frequency control strategy by the aggregator based plug-in electric vehicles (PEVs). The frequency control is proposed from the view point of the frequency instability which possibly caused by the distribution level PV power penetration and load demand variation as well as uncontrolled charging and discharging of PEVs. Two fuzzy logic controllers (FLCs) have been developed, one as charging station controller and another as vehicle-to-grid (V2G) controller, to provide frequency regulation. An IEEE 39-bus system like test system is simulated incorporating the proposed controllers and considering dual power and information flows between supply and demand sides. From the numerical simulation results, performances of the proposed controllers are found satisfactory to provide frequency regulation and to reduce tie-line power fluctuations.

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“…Fuzzy logic has been used for decades in the fields of distributed generation [22]- [26]. The main purpose of this research is to develop a frequency control strategy by using the PEVs.…”

Section: Fuzzy Controller Based V2g Infrastruturementioning

confidence: 99%

Fuzzy logic based frequency control by V2G aggregators

Datta

2014

2014 IEEE 5th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

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“…Due to the advancement in the battery technologies, the batteries with larger capacities and greater efficiency are now available in order to support the high‐power battery energy storage stations (BESS). The studies presented in discussed the power fluctuation minimization for the grid‐integrated PV‐diesel systems. The researchers have used fuzzy logic to minimize the fluctuations in .…”

Section: Introductionmentioning

confidence: 99%

A new approach of sizing battery energy storage system for smoothing the power fluctuations of a PV/wind hybrid system

Sandhu

Mahesh

2016

Int. J. Energy Res.

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In this paper, a new approach for optimally sizing the storage system employing the battery banks for the suppression of the output power fluctuations generated in the hybrid photovoltaic/wind hybrid energy system. At first, a novel multiple averaging technique has been used to find the smoothing power that has to be supplied by the batteries for the different levels of smoothing of output power. Then the battery energy storage system is optimally sized using particle swarm optimization according to the level of smoothing power requirement, with the constraints of maintaining the battery state of charge and keeping the energy loss within the acceptable limits. Two different case studies have been presented for different locations and different sizes of the hybrid systems in this work. The results of the simulation studies and detailed discussions are presented at the end to portrait the effectiveness of the proposed method for sizing of the battery energy storage system.

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“…In the future, it is anticipated that large PV farms should not only supply the electrical power, but also contribute some ancillary services to power systems such as frequency control support and voltage control [2] etc.…”

Section: Introductionmentioning

confidence: 99%

Intelligent photovoltaic farms for robust frequency stabilization in multi-area interconnected power system based on PSO-based optimal Sugeno fuzzy logic control

Sa-ngawong

Ngamroo

2015

Renewable Energy

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a b s t r a c tCurrently, the grid-connected large PV farms are extensively installed in power systems. Nevertheless, in addition to the load change, the intermittent power output of PV farms may lead to the serious problem of the system frequency fluctuation. To handle this problem, this paper proposes a new design of Sugeno fuzzy logic controller based on particle swarm optimization (PSO-SFLC) of intelligent PV farms for the frequency stabilization in a multi-area interconnected power system. To handle various scenarios, the frequency deviations and solar insolations are used as input signals of the PSO-SFLC. The output signal of the PSO-SFLC is a command signal for adjusting PV output power. The output power of PV is controlled by the PSO-SFLC to meet the load demand so that the system frequency fluctuation can be suppressed. Without the difficulty of trial and error, the optimal input and output membership functions, and control rules of PSO-SFLC are automatically achieved by PSO. Simulation study in a three-area loop interconnected power system with large PV farms elucidates that the frequency stabilizing performance and robustness of the PV equipped with the PSO-SFLC is much superior to that of the PV with the SFLC and the PV with the maximum power point tracking control in scenarios with various solar insolations and loading conditions.

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A fuzzy based method for leveling output power fluctuations of photovoltaic-diesel hybrid power system

Cited by 40 publications

References 33 publications

Fuzzy logic based frequency control by V2G aggregators

Fuzzy logic based frequency control by V2G aggregators

A new approach of sizing battery energy storage system for smoothing the power fluctuations of a PV/wind hybrid system

Intelligent photovoltaic farms for robust frequency stabilization in multi-area interconnected power system based on PSO-based optimal Sugeno fuzzy logic control

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