Recent developments and future research recommendations of control strategies for wind and solar PV energy systems

Basit, Bilal Abdul; Jung, Jin‐Woo

doi:10.1016/j.egyr.2022.10.395

Cited by 11 publications

(3 citation statements)

References 119 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the stochastic nature of solar irradiance, solar energy systems can provide an ideal platform to implement research on dynamic systems that require intelligent control and optimization technology. For example, many advanced control strategies for solar PV energy systems are introduced and reviewed by Basit and Jung [52]. Control systems for load-side converters, energy storage, voltage, and current controls can be used in the proposed concept.…”

Section: Major Componentsmentioning

confidence: 99%

Design and Development of a Conceptual Solar Energy Laboratory for District Heating Applications

Chung,

Sukumaran,

Hlebnikov

et al. 2023

Solar

View full text Add to dashboard Cite

The decarbonization of the district heating (DH) sector is receiving attention worldwide. Solar energy and heat pump technologies are widely considered in existing and new DH networks. There is a need to understand the influence of solar energy on district heating experimentally. However, only a few university laboratories are focused on district heating aspects. Further, the concept of such laboratories is not adequately disseminated in the scientific literature. The main objective of this paper is to develop a conceptual design of a solar energy laboratory with a focus on district heating systems. The proposed concept forms part of the preliminary study carried out by a research group at the Tallinn University of Technology. First, a brief literature review on solar energy laboratory development is provided. Then, the conceptual design of such a laboratory is presented, along with a case study. Regardless of project size, the main components of a district heating-based solar energy laboratory are solar collectors, thermal energy storage (TES) tanks, and a control system. The proposed laboratory is expected to serve multiple roles, such as a practical laboratory to provide interdisciplinary courses for students, a research and experimental platform for researchers, and a cradle to achieve the campus green initiative. It is roughly estimated that the thermal energy output from the proposed laboratory would meet around 25% of the heat demand of the institutional building during the summer season (May, June, July, and August). It is expected that the present study will be a reference material for the development of innovative energy laboratories in educational institutions.

show abstract

Section: Major Componentsmentioning

confidence: 99%

Design and Development of a Conceptual Solar Energy Laboratory for District Heating Applications

Chung,

Sukumaran,

Hlebnikov

et al. 2023

Solar

View full text Add to dashboard Cite

show abstract

“…Natural energy-generating plants must be controlled despite their inherent unpredictability to provide sustainable energy [11]. Several  ISSN: 2302-9285 strategies are applied for stable changes in the power output of new and renewable energy installations [12]- [14]. Energy storage and management systems are widely used to address intermittent output caused by unplanned resource changes [15].…”

Section: Introductionmentioning

confidence: 99%

Improve PV-diesel operating management system considering sun availability time

2023

View full text Add to dashboard Cite

This paper presents a hybrid photovoltaic (PV)-diesel management system performance analysis considering weather conditions. The system is designed to operate based on charging current, battery capacity, and loading current. During charging current is decreased but the battery capacity is high, and the PV system remains supplied for low and medium loading current. When the charging current is lowered and the battery capacity is in the middle, the PV system still supplies for low loading current. However, when the charging current decreases and the battery voltage decreased below 22.3 volts, the supply instantly switches to the diesel generator. The charge current is calculated by subtracting the PV current from the load current. A real-time clock is implemented as a timer to guarantee that there is no repetitive switching throughout the night when charging from the panel is missing. The system works automatically through microcontroller control during the day for 9 hours. The improvement that has been obtained is to overcome the problem of repeated switching processes by limiting the transfer process back to PV when sunlight is not available.

show abstract

“…Compared to traditional fossil fuel energy, renewable energy sources (RESs) such as wind power and solar energy with the advantages of being less pollution were widely used in the practical application [1,2]. However, it might present challenges when the RESs are connected into the power grid with their timing characteristics [3,4].…”

Section: Introductionmentioning

confidence: 99%

Method of Site Selection and Capacity Setting for Battery Energy Storage System in Distribution Networks with Renewable Energy Sources

et al. 2023

View full text Add to dashboard Cite

The reasonable allocation of the battery energy storage system (BESS) in the distribution networks is an effective method that contributes to the renewable energy sources (RESs) connected to the power grid. However, the site and capacity of BESS optimized by the traditional genetic algorithm is usually inaccurate. In this paper, a power grid node load, which includes the daily load of wind power and solar energy, was studied. Aiming to minimize the average daily distribution networks loss with the power grid node load connected with RESs, a site selection and capacity setting model of BESS was built. To solve this model, a modified simulated annealing genetic algorithm was developed. In the developed method, the crossover probability and the mutation probability were modified by a double-threshold mutation probability control, which helped this genetic method to avoid trapping in local optima. Moreover, the cooling mechanism of simulated annealing method was presented to accelerate the convergence speed of the improved genetic algorithm. The simulation results showed that the convergence speed using the developed method can be accelerated in different number BESSs and the convergence time was shortened into 35 iteration times in view of networks loss, which reduced the convergence time by about 30 percent. Finally, the required number of battery system in BESS was further built according to the real batteries grouping design and the required capacity of BESS attained using the developed method.

show abstract

Recent developments and future research recommendations of control strategies for wind and solar PV energy systems

Cited by 11 publications

References 119 publications

Design and Development of a Conceptual Solar Energy Laboratory for District Heating Applications

Design and Development of a Conceptual Solar Energy Laboratory for District Heating Applications

Improve PV-diesel operating management system considering sun availability time

Method of Site Selection and Capacity Setting for Battery Energy Storage System in Distribution Networks with Renewable Energy Sources

Contact Info

Product

Resources

About