Application of decentralized control for remote power system stabilization by installing renewable energy power plant

Senjyu, Tomonobu; Omine, Eitaro; Hayashi, Daisuke; Sekine, Hideomi; Funabashi, Toshihisa

doi:10.1002/tee.20302

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…Due to the cost, transportation of fuels, and the emission of undesirable gases from diesel generator engines [1], renewable resources are the solution for supplying remote areas' demand. The disadvantages of the photovoltaic systems are their low conversion efficiency with high cost compared to wind power systems [2]. Wind power has many advantages, as it is clean, produces no air pollution, and is a renewable natural resource.…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

et al. 2019

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Frequency control represents a critically significant issue for the enhancement of the dynamic performance of isolated micro grids. The micro grid system studied here was a wind-diesel system. A new and robust optimization technique called the mine blast algorithm (MBA) was designed for tuning the PID (proportional-integral-differential) gains of the blade pitch controller of the wind turbine side and the gains of the superconducting magnetic energy storage (SMES) controller. SMES was implemented to release and absorb active power quickly in order to achieve a balance between generation and load power, and thereby control system frequency. The minimization of frequency and output wind power deviations were considered as objective functions for the PID controller of the wind turbine, and the diesel frequency and power deviations were used as objective functions for optimizing the SMES controller gains. Different case studies were considered by applying disturbances in input wind, load power, and wind gust, and sensitivity analysis was conducted by applying harsh conditions with varying fluid coupling parameter of the wind-diesel hybrid system. The proposed MBA-SMES was compared with MBA (tuned PID pitch controller) and classical PI control systems in the Matlab environment. Simulation results showed that the MBA-SMES scheme damped the oscillations in the system output responses and improved the system performance by reducing the overshoot by 75% and 36% from classical and MBA-based systems, respectively, reduced the settling time by 45% compared to other systems, and set the final steady-state error of the frequency deviation to zero compared to other systems. The proposed scheme was extremely robust to disturbances and parameter variations.

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Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

et al. 2019

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“…These renewable energy sources can be operated together or with the conventional power sources such as diesel or gas turbine generators and others. Nevertheless, the power generations from wind power and photovoltaic arrays are variable because solar and wind energy are intermittent in nature [6]. These cause power imbalance in generation and load [7], and results in severe power fluctuation in the microgrid [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…In Ref. [14], EZ has been proposed to control the grid frequency and voltage for remote power system stabilization. Besides, the EZ has been applied to increase the load factor to the maximum level of 100% at high wind penetrations [15].…”

Section: Introductionmentioning

confidence: 99%

Alleviation of power fluctuation in a microgrid by electrolyzer based on optimal fuzzy gain scheduling PID control

Chaiyatham

Ngamroo

2014

IEEJ Transactions Elec Engng

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This paper presents an application of the electrolyzer (EZ) to alleviate the power fluctuation in a microgrid with hybrid power generations from wind, photovoltaic array, fuel cell, and diesel engine. In this microgrid, the intermittent power generations from wind and photovoltaic arrays cause severe power fluctuation. With the fast response of EZ, the power absorbed by EZ can be controlled to compensate for the power fluctuation, in addition to the hydrogen production for fuel cell. The structure of the active and reactive power controllers of EZ is the fuzzy gain scheduling of a proportional-integral-derivative (FGS-PID) controller. Without trial and error, the scale factors, membership functions, and control rules of the FGS-PID controller are automatically optimized by bee colony optimization. A simulation study confirms that the proposed EZ with optimal FGS-PID controller is much superior to the optimal PID controller in terms of damping effect, robustness against disturbances, and hydrogen production.

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An improved synchronous reference frame filter for sliding mode observer position sensorless method of open‐winding pm generator system

Wang

Hao

2019

IEEJ Transactions Elec Engng

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In view of the relatively low estimation accuracy in the low-pass filter (LPF)-based sliding mode observer (SMO) method, synchronous reference frame filter (SRFF)-based SMO (without input LPF) method, and SRFF-based SMO (with input LPF) method, an improved SRFF-based SMO position sensorless method of the open-winding permanent magnet generator (OWPMG) system is presented. This improved SRFF consists of a programmable eighth-order low-pass filter (8th-PLPF), a traditional SRFF, and two phase-locked loops (PLL1 and PLL2). Based on the synchronous angular frequency obtained by PLL2, the 8th-PLPF together with the traditional SRFF can not only effectively filter out the harmonics in the output of the SMO but also achieve the fundamental back-EMF without magnitude and phase angle errors. Then, based on the obtained accurate back-EMF, the estimated rotor position angle can be obtained without phase shift. The OWPMG system using the improved method can work well in both steady-state and dynamic conditions, which is verified by experimental results.

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Application of decentralized control for remote power system stabilization by installing renewable energy power plant

Cited by 7 publications

References 14 publications

Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

Alleviation of power fluctuation in a microgrid by electrolyzer based on optimal fuzzy gain scheduling PID control

An improved synchronous reference frame filter for sliding mode observer position sensorless method of open‐winding pm generator system

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