Integration Problems of Photovoltaic Systems-Wind Power, Solutions and Effects on Power Quality

Tür, Mehmet Rıda; Wadi, Mohammed; Shobole, Abdulfetah; Gunduz, Hasan

doi:10.36222/ejt.737571

Cited by 6 publications

(7 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…iii. Amount of energy imbalance (AEI): the authors in [46] proposed the AEI as in (39), which represents financial amounts but can be used for power systems and indicates the difference between the power supplied by and imported from grids.…”

Section: Resultsmentioning

confidence: 99%

Optimal Operation of a Photovoltaic Integrated Captive Cogeneration Plant with a Utility Grid Using Optimization and Machine Learning Prediction Methods

Reddy

Singh

2021

Energies

View full text Add to dashboard Cite

The World Energy Council, in its 2019 World Energy Scenarios Report, advised policymakers to identify innovative opportunities for the integration of renewable energy resources into existing electrical power systems to achieve a fast and affordable solution. However, large-scale industries with cogeneration units are facing problems in handling the higher penetration levels of intermittent renewable energies. This paper addresses large-size photovoltaic power integration problems and their optimal operation. This work considers the case of a chemical industry having both cogeneration power and solar photovoltaics. Here, a modified firefly algorithm and a hybrid power resource optimization solver are proposed. The results of the proposed method are compared with other benchmark techniques, to confirm its advantages. The proposed techniques can be used in industries having cogeneration power plants with photovoltaics for better optimization and to meet the guidelines specified in IEEE 1547. The voltage ramp index is proposed to determine the voltage ramp up and down with intermittent solar irradiance. Additionally, a machine learning technique is used to predict the cogeneration plant efficiency at different loads and the solar irradiance under varying weather conditions. Finally, this paper proposes the effectiveness of the modified heuristic technique and certain guidelines, including solvers for industrial use.

show abstract

Section: Resultsmentioning

confidence: 99%

Optimal Operation of a Photovoltaic Integrated Captive Cogeneration Plant with a Utility Grid Using Optimization and Machine Learning Prediction Methods

Reddy

Singh

2021

Energies

View full text Add to dashboard Cite

show abstract

“…In above equations ( 17) and ( 18), R and L refer to the switching points.f n (λ) and f n (λ) can be calculated as below equation (19).…”

Section: Internal Type-2 Fuzzy Logicmentioning

confidence: 99%

“…As a basis, it is necessary to evaluate the mutual potentials as well as the technical circumstances that facilitate hydrogen-powered technologies suitable for the zero-carbon transition [18]. Due to the intermittency of wind and PV output as well as their control mechanism, it is not possible to supply energy demands entirely through these two green technologies for reliable and quality power delivery [19], [20]. Because of this, a backup system is necessary for operating with renewables fully.…”

Section: Introductionmentioning

confidence: 99%

An Autonomous Frequency Control Mechanism for Multi-Area Microgrids Incorporating with Distributed Energy Resources

Yildiz

Gunduz

Yildirim

et al. 2022

Preprint

View full text Add to dashboard Cite

Due to the intermittent nature of distributed energy resources (DER) utilised in power grids, considerable frequency variations arise when the capacity of the load frequency control (LFC) system is inadequate to correct for electricity generation and consumption imbalances. This issue may significantly increase when the microgrid is operating in isolated mode. Meanwhile, hydrogen-fuel cells are gaining traction as distributed energy storage units, assisting in the transition to a low or zeroemissions while also providing for greater operational flexibility with maintaining frequency stability. Nevertheless, power grids constantly face various uncertainties. To mitigate these uncertainties, this study purposes a new dual-input interval type-2 fuzzy fractional order PI-PD (DIT2-FPI-FPD) cascade controller with recently developed Improved-Salp Swarm Algorithm (I-SSA) for LFC of multi-area microgrids incorporating with various DER. The simulations are performed with real-time sun/wind data and genuine random load changes. Robustness of the proposed controller has been verified by sensitive case studies, which are showing the proposed controller is optimal and highly efficient.

show abstract

“…Although the installed capacity is currently far from the maximum usable levels, this has made it possible to propose incentives and updates in the form of laws, standards, regulations, and policies for the rational and efficient use of renewable energies [8]. However, due to the variation and uncertainty of the solar resource, which is caused by weather conditions that depend on the location of the electrical system, as well as on the period of the year [6,9], the operation of PV generators in traditional electrical networks and in electrical distribution grids poses many technical and operations challenges, as an incorrect operation can entail stability and reliability issues in the electrical system [10]. To deal with this problem, it is necessary to implement Energy Management Systems (EMS).…”

Section: Introduction 1general Contextmentioning

confidence: 99%

“…Inequality constraints (10) and (17) show that the output power of the PV generator in a period of time h can take values between the lower limit of power and the product between the nominal power and the solar generation curve.…”

mentioning

confidence: 99%

Energy Management System for the Optimal Operation of PV Generators in Distribution Systems Using the Antlion Optimizer: A Colombian Urban and Rural Case Study

et al. 2022

View full text Add to dashboard Cite

This paper presents an Energy Management System (EMS) for solving the problem regarding the optimal daily operation of Photovoltaic (PV) distributed generators in Alternate Current (AC) distribution grids. To this effect, a nonlinear programming problem (NLP) was formulated which considered the improvement of economic (investment and maintenance costs), technical (energy losses), and environmental (CO2 emission) grid indices as objective functions, considering all technical and operating constraints for the operation of AC networks with the presence of PV sources. To solve this mathematical formulation, a master–slave methodology was implemented, whose master stage employed the antlion optimizer to find the power dispatch of PV sources in each period of time considered (24 h). In the slave stage, an hourly power flow based on the successive approximations method was used in order to obtain the values of the objective functions and constraints associated with each possible PV power configuration proposed by the master stage. To evaluate the effectiveness and robustness of the proposed methodology, two test scenarios were used, which included three installed PV sources in an urban and a rural network, considering the PV power generation and demand located reported for Medellín and Capurganá, respectively. These systems correspond to connected and standalone grids located in two different regions of Colombia. Furthermore, the proposed methodology was compared with three optimization methodologies reported in the literature: the Chu and Beasley genetic algorithm, the particle swarm optimization algorithm, and the vortex search optimization algorithm. Simulation results were obtained via the MATLAB software for both test scenarios with all the optimization methodologies. It was demonstrated that the proposed methodology yields the best results in terms of solution quality and repeatability, with shorter processing times.

show abstract

Integration Problems of Photovoltaic Systems-Wind Power, Solutions and Effects on Power Quality

Cited by 6 publications

References 26 publications

Optimal Operation of a Photovoltaic Integrated Captive Cogeneration Plant with a Utility Grid Using Optimization and Machine Learning Prediction Methods

Optimal Operation of a Photovoltaic Integrated Captive Cogeneration Plant with a Utility Grid Using Optimization and Machine Learning Prediction Methods

An Autonomous Frequency Control Mechanism for Multi-Area Microgrids Incorporating with Distributed Energy Resources

Energy Management System for the Optimal Operation of PV Generators in Distribution Systems Using the Antlion Optimizer: A Colombian Urban and Rural Case Study

Contact Info

Product

Resources

About