Designing of stand-alone hybrid PV/wind/battery system using improved crow search algorithm considering reliability index

Moghaddam, Sasan; Bigdeli, Mehdi; Moradlou, Majid; Siano, Pierluigi

doi:10.1007/s40095-019-00319-y

Cited by 53 publications

(38 citation statements)

References 27 publications

(43 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They tested their novel algorithm using 20 datasets and compared OCSA with the original CSA and chaotic CSA. Moghaddam et al [112] used GA operators: crossover and mutation and employed it in CSA to increase its performance and prevent it from getting stuck into sub-optimal regions. Fallah et al [113] introduced an improved CSA (ICSA) in which each crow must choose a random crow as a leader.…”

Section: ) Improved Csamentioning

confidence: 99%

Crow Search Algorithm: Theory, Recent Advances, and Applications

et al. 2020

View full text Add to dashboard Cite

In this paper, a comprehensive overview of the Crow Search Algorithm (CSA) is introduced with detailed discussions, which is intended to keep researchers interested in swarm intelligence algorithms and optimization problems. CSA is a new swarm intelligence algorithm recently developed, which simulates crow behavior in storing excess food and retrieving it when needed. In the optimization theory, the crow is the searcher, the surrounding environment is the search space, and randomly storing the location of food is a feasible solution. Among all food locations, the location where the most food is stored is considered to be the global optimal solution, and the objective function is the amount of food. By simulating the intelligent behavior of crows, CSA tries to find optimal solutions to various optimization problems. It has gained a considerable interest worldwide since its advantages like simple implementation, a few numbers of parameters, flexibility, etc. This survey introduces a comprehensive variant of CSA, including hybrid, modified, and multi-objective versions. Furthermore, based on the analyzed papers published in the literature by some publishers such as IEEE, Elsevier, and Springer, the comprehensive application scenarios of CSA such as power, computer science, machine learning, civil engineering have also been reviewed. Finally, the advantages and disadvantages of CSA have been discussed by conducting some comparative experiments with other similar published peers.

show abstract

Section: ) Improved Csamentioning

confidence: 99%

Crow Search Algorithm: Theory, Recent Advances, and Applications

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The calculation of solar power and solar insulation S can be done using the following equations 24 :…”

Section: Modeling Of Pv Energy Systemmentioning

confidence: 99%

“…where v H and v H r refer to the wind speed at hub height H and reference height H r , separately, and ε is the roughness ingredient which ranges from 0.14 to 0.25. 24…”

Section: Modeling Of Wind Powermentioning

confidence: 99%

Minimum cost‐based design of isolated PV ‐wind hybrid system considering the PV tilt angle and wind turbine hub height as design parameters using genetic algorithm

2021

View full text Add to dashboard Cite

The optimal sizing of a hybrid energy system may be a difficult undertaking problem because of the huge number of structure settings and the irregular nature of solar radiation and wind power sources. This issue has a place with the classification of combinatorial enhancement, and its solution dependent on the classical technique may be a waste of time. In the present paper, the generation cost of isolated PV-wind by bird system is minimized by increasing the capacity factor of the system by adjusting both of PV-tilt angle and wind turbine hub height such that the average generated power is as near as possible to the generation peak. By considering the PV-tilt angle and the turbine hub height, the diversity between the two generation patterns increases resulting in lower cost. The objective of the present paper is to find the optimal design of the PV-wind hybrid system based on minimum cost criterion using a genetic algorithm. Also, it studies the effect of considering the PV-tilt angle and wind turbine hub height as design parameters for different diversity levels of wind speed and sun irradiance patterns. K E Y W O R D Sconstraints, cost, design parameters, fitness, genes, PV tilt angle, reliability, wind turbine hub Abbreviations: δ, solar declination angle; α, solar elevation angle; θ, azimuth angle; ;, location latitude; ω, hour angle; β, panel surface tilt angle; ε, roughness ingredient factor; σ, discharge rate; η BC , charging efficiency; η BD , discharging efficiency; C B , battery cost; C Br , battery replacement cost; C d , diesel cost; C dc , diesel capital cost; C fuel , fuel cost; C pvc , capital cost of PV; C pvm , maintenance cost of PV; C wtc , capital cost of wind turbine; C wtm , maintenance cost of wind turbine; C pvw , cost of PV/wind system; CRF, capital recovery factor; D f , hourly fuel consumption; E B (t), battery capacity kWh at time t; E B , battery energy (Wh); f 1, derating factor; f, inflation rate; h d , diesel total operation hours; H wt , wind turbine hub height; i, interest rate; I o , solar insulation at standard conditions; N, project lifetime; nn, day julian number; nb, battery lifetime; N B , number of batteries; N D , number of diesels; N pv

show abstract

“…Sectionalizing switches have been mainly utilized to enhance service reliability in primary distribution networks. Research studies illustrated that a distribution system typically accounts for up to 40% of power supply costs and about 81% of customer reliability issues [9]. Also, reconfiguring distribution networks can be an efficient way and economical approach to enhance system reliability.…”

Section: A Backgroundmentioning

confidence: 99%

Automated Distribution Networks Reliability Optimization in the Presence of DG Units Considering Probability Customer Interruption: A Practical Case Study

et al. 2021

View full text Add to dashboard Cite

Automation in power distribution systems and supervisory control and data acquisition (SCADA), which perform network switching automatically and remotely, allows distribution companies to flexibly control distribution power grids. Cross-section switches also has a significant role in the automation in distribution systems, in that the operational optimization of these switches is able to enhance the supply power quality and reliability indicators, and can be a prosperous solution to increase the reliability, efficiency and overall service quality in services to customers. In this regard, in this work, the genetic optimization algorithm (GOA) approach which integrated the Steepest Descend Technique (SDT) is proposed and enhanced based on the features of the mentioned issue to sketch the optimal location and control of automatic and manual cross-section switches and protection relay systems in distribution power systems. The GOA is able to search globally that can prevent the result from locally convergence, also, GOA gives superior primary solutions for the SDT. Thus, the SDT can search locally with higher performance which increase the solutions' accuracy. Therefore, an optimization formulation is proposed to improve the value-based reliability of the suggested layout considering the cost of customer downtime and the costs related to segmentation of switches and relay protection devices. Also, a distributed generation (DG) system in distribution networks is considered based on the islanded state of generation units. The effectiveness of the optimal suggested procedure is evaluated and represented via performing a practical test system in the distribution network of Ahvaz city in Iran. The results show that using proposed method and by optimally allocating switches maneuver, energy losses without switches are reduced from 310.17 (MWh) to 254.2 (MWh), and also by using DG, losses are reduced from 554.01 to 533.61 which confirms the ability and higher accuracy of the proposed method to improve reliability indices.

show abstract

Designing of stand-alone hybrid PV/wind/battery system using improved crow search algorithm considering reliability index

Cited by 53 publications

References 27 publications

Crow Search Algorithm: Theory, Recent Advances, and Applications

Crow Search Algorithm: Theory, Recent Advances, and Applications

Minimum cost‐based design of isolated PV ‐wind hybrid system considering the PV tilt angle and wind turbine hub height as design parameters using genetic algorithm

Automated Distribution Networks Reliability Optimization in the Presence of DG Units Considering Probability Customer Interruption: A Practical Case Study

Contact Info

Product

Resources

About