A multi-objective approach for micro grid energy management based on fuzzy multi-agent decision-making process

Serraji, Maria; Nfaoui, El Habib; Boumhidi, Jaouad

doi:10.1504/ijiei.2016.080508

Cited by 5 publications

(5 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results showed that controller based on WOA outperforms. Future scope of this work lies in tuning the controllers using fuzzy logic (Issaadi, 2017;Boukadoum et al, 2017;Bouazzi et al, 2017;Faquir et al, 2016;Meziane and Boumhidi, 2016;Serraji et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Whale optimisation algorithm-based controller design for reverse osmosis desalination plants

Rathore

Singh

2019

IJIEI

View full text Add to dashboard Cite

In this contribution, whale optimisation algorithm (WOA)-based controllers are presented for reverse osmosis (RO) desalination plants. Two proportional-integral-derivative (PID) controllers are designed for flux and conductivity of RO plant model. The tuning of these controllers is carried out with a newly proposed algorithm, i.e., WOA. The minimisation of integral-of-squared-error (ISE) is considered as performance index for design of objective function in the problem. The performance of proposed controllers is compared with other optimisation algorithms-based controllers. Simulation results show the supremacy of WOA-based controllers over the other controllers. The proposed controllers are found best for RO desalination plants in terms of control of RO unit model.

show abstract

Section: Discussionmentioning

confidence: 99%

Whale optimisation algorithm-based controller design for reverse osmosis desalination plants

Rathore

Singh

2019

IJIEI

View full text Add to dashboard Cite

show abstract

“…Where 0 is a chopping factor when there is no frequency error, and is an accelerated gain [15], [16]. The SFS waveform has neither odd nor even symmetry; consequently, there will be a phase shift of the fundamental component of this form, wave equal to 0.5…”

Section: Sandia Frequency Shift (Sfs)mentioning

confidence: 99%

“…In fact, it has one of the weakest ZND. Moreover, when several inverters are connected in parallel to the same node, it is easy to install, inexpensive and always efficient [16]. On the other hand, if the system is connected to a weak grid where the distributed generation source is of some importance, this method will result in a slight decrease in the quality of the waveform of the inverter output current and may cause undesirable instability with respect to the main grid energy [1].…”

Section: Sandia Frequency Shift (Sfs)mentioning

confidence: 99%

A fuzzy rule based approach for islanding detection in grid connected inverter systems

Ikken¹,

Tariba²,

Bouknadel³

et al. 2021

IJECE

View full text Add to dashboard Cite

Islanding is when an area of the electrical distribution system is isolated from the electrical system while being powered by distributed generators. An important condition for the interconnection of power plants and distribution systems is the ability of the power plant to detect islands. The presented and proposed method is a combination of best active sandia frequency shift (SFS) method with the intelligent fuzzy logic controller, which has been tested in distributed production using the island detection function. And the choice to improve the method by fuzzy logic control (FLC) is retained, as this process is more effective in decreasing the non-detection zone (NDZ) and in further improving the efficiency of the islanding detection system. This paper proposes a new active islanding detection technique controlled by a fuzzy logic controller, for grid connected photovoltaic (PV) inverters. In addition, the efficiency and performance of the proposed method strategy for islanding detection has been analyzed and tested in the various situations of the network. In addition, the results of the simulations with the power simulation (PSIM) software will be provided to illustrate the main conclusions and the development of the control. Thus, will be used to show the feasibility and validity of the proposed new algorithm.

show abstract

“…Recent decades have seen a fast development in nature-inspired algorithms and artificial intelligent techniques, among them fuzzy logic theory (FLT) that have gained a great interest in the design of robust control systems. Nowadays, the concept of fuzzy control is well-known and now implemented in many industries applications worldwide to solve practical issues more efficiently (Kouba et al, 2015c;Serraji et al, 2016;Faquir et al, 2016). FLC is credited with being a suitable regulation technique for designing robust controller that is capable to provide good performances during contingencies case to avoid system failing compared to other classical controllers such the PI and PID controller.…”

Section: Proposed Control Strategymentioning

confidence: 99%

Application of multi-verse optimiser-based fuzzy-PID controller to improve power system frequency regulation in presence of HVDC link

Kouba

Menaa

Hasni

et al. 2018

IJIEI

View full text Add to dashboard Cite

This paper presents the design of a novel optimal fuzzy-PID controller-based multi-verse optimiser (MVO) for load frequency control (LFC) of a two-area power system interconnected via high voltage direct current (HVDC) transmission link. The MVO algorithm was adopted to estimate the unknown parameters of the test system and model the HVDC link for the LFC analysis, and then, was used to optimise the fuzzy-PID controller parameters including the scaling factors of fuzzy logic and the PID controller gains. To demonstrate the effectiveness of the proposed control strategy, a two-area power system with HVDC link connection was investigated for the simulation. A comparative study of performance of proposed controller, fuzzy logic and conventional PID controller was performed. The obtained results satisfy the LFC requirements and reveal that the optimised fuzzy-PID controller-based MVO algorithm enhances power system frequency regulation in presence of HVDC link.

show abstract

A multi-objective approach for micro grid energy management based on fuzzy multi-agent decision-making process

Cited by 5 publications

References 24 publications

Whale optimisation algorithm-based controller design for reverse osmosis desalination plants

Whale optimisation algorithm-based controller design for reverse osmosis desalination plants

A fuzzy rule based approach for islanding detection in grid connected inverter systems

Application of multi-verse optimiser-based fuzzy-PID controller to improve power system frequency regulation in presence of HVDC link

Contact Info

Product

Resources

About