An analytical method for sizing energy storage in microgrid systems to maximize renewable consumption and minimize unused storage capacity

Ren, Han Kun; Ashtine, Masaō; McCulloch, Malcolm; Wallom, David

doi:10.1016/j.est.2023.107735

Cited by 10 publications

(2 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Solid-state batteries promise higher energy density and safety but are not mature in technology. Based on the analysis, a lithium-type battery is chosen for its favorable characteristics [14,15].…”

Section: Optimal Battery Sizementioning

confidence: 99%

Design Optimization of Standalone PV-Battery System for LED Street Lighting in Magetan Indonesia

Warindi,

Nizam,

Adriyanto

et al. 2023

E3S Web of Conf.

View full text Add to dashboard Cite

The study focuses on optimizing standalone PV-battery systems for LED street lighting in Magetan Regency, Indonesia, emphasizing the importance of PV panels and lithium battery selection for energy efficiency. Minimizing energy not captured leads to effective, sustainable, and eco-friendly street lighting, reducing energy waste and promoting a greener urban environment. The optimization process involves choosing the appropriate PV panel size, battery capacity, and solar charge controller to maximize energy capture while meeting load requirements and design constraints. Solar resource assessment using PVGIS ensures system feasibility analysis. Simulation results reveal optimized PV panel peak power (200 Wp), battery capacity (1002 Wh), and a 16.67A MPPT solar charge controller. The average energy not captured is 144.21 Wh per month, showcasing the system’s efficiency. The discussion emphasizes the significance of this optimized configuration in enhancing energy capture and storage capacity, resulting in reliable and eco-friendly street lighting solutions.

show abstract

Section: Optimal Battery Sizementioning

confidence: 99%

Design Optimization of Standalone PV-Battery System for LED Street Lighting in Magetan Indonesia

Warindi,

Nizam,

Adriyanto

et al. 2023

E3S Web of Conf.

View full text Add to dashboard Cite

show abstract

“…Utilizing the Raspberry Pi [8]. as the center preparing unit underscores the possibility of actualizing high-tech arrangements in a cost-effective way [9]. Moment, the think about contributes to the body of information on the application of Web of Things (WoT) innovation in mechanical security and natural checking [10].…”

Section: Introductionmentioning

confidence: 99%

Smart Chemical Material Store System Using IOT and Raspberry PI

2024

IJSER

View full text Add to dashboard Cite

Within the period of savvy innovation, the administration of chemical capacity postures critical challenges, especially in guaranteeing security and natural compliance. This paper plan and usage of a keen chemical capacity framework utilizing Raspberry PI presents an imaginative arrangement to this squeezing issue by leveraging the capabilities of Raspberry PI4 and the Web of Things (WoT) innovation. This investigate expresses the advancement and sending of a exceedingly productive, cost-effective shrewd chemical capacity framework outlined to optimize security, energy saving and protecting the internal and external environment of the store from air pollution. By coordination sensors for identifying different chemical gasses, temperature, mugginess, and pH levels, washing column, the framework gives real-time information examination, guaranteeing a responsive and energetic approach to chemical capacity administration. The Raspberry PI4 serves as the central handling unit, coordinating information procurement, processing, and decision-making forms to preserve ideal capacity conditions and preemptively address potential risks. Through the utilization of K-Means Calculation for information investigation, the framework illustrates extraordinary capability in recognizing and cautioning to dangerous conditions, in this way essentially decreasing the hazard of chemical mischances and processed. The usage exhibits a versatile, versatile system that obliges the expansion of different sensors and gadgets, encouraging a comprehensive observing arrangement custom-made to the particular needs of chemical capacity offices. This investigate not only contributes to the field of chemical security but moreover sets a point of reference for the application of savvy advances in mechanical security administration, advertising experiences and techniques that can be adjusted over assorted segments.

show abstract

Economic enhancement and grid‐frequency control of a wind farm‐CAES‐fuel cell‐based hybrid system

Das,

Kumar

2024

Energy Storage

View full text Add to dashboard Cite

In the present era, the electrical network faces difficulty owing to the restricted supply of conventional energy resources. Solar and wind power are supremely acceptable renewable energy around the globe due to their cheap availability, zero fuel costs, and environmental safety features. Maintaining power balance in a renewable combined day‐ahead power network becomes challenging owing to the uncertainty of renewable sources, resulting in economic instability. An energy‐storing device is essential for combining renewable sources with existing thermal power plants to control the energy supply and maintain system stability. Any government agency in the deregulated market does not set up energy pricing. The ISO (independent system operator) is the primary organization in the day‐ahead power network that is responsible for collecting energy bids from DISCOs (distribution companies), TRANSCOs (transmission companies), and GENCOs (generation companies). The energy pricing is set by the market regulator at a rate known as Location‐based marginal pricing (LBMP), which provides benefits to GENCOs, and DISCOs as well as the customers. In a deregulated market, the unpredictability of renewable sources affects system profit owing to the creation of instability cost (ISC), induced by mismatching the bidding power production from the renewable plant. To lessen these concerns, the presented approach has proposed an innovative model that employs ideal scheduling of the WF (wind‐farm)‐CAES (compressed‐air‐energy‐storage)‐fuel cell (FC) hybrid systems to enhance system economic profitability while keeping the grid frequency (GF) in the safe zone. The fuel cell acts as the energy‐storing device that can be utilized during high‐demand times on the grid, with the ultimate goal of maximizing profits for the overall system. The CAES system's energy level is separated into four dissimilar points, and this study presents an optimum approach for efficiently using it to maintain grid frequency. The new strategy outperformed the previous methods in all categories. The study was performed using the IEEE 30 bus test system.

show abstract

An analytical method for sizing energy storage in microgrid systems to maximize renewable consumption and minimize unused storage capacity

Cited by 10 publications

References 44 publications

Design Optimization of Standalone PV-Battery System for LED Street Lighting in Magetan Indonesia

Design Optimization of Standalone PV-Battery System for LED Street Lighting in Magetan Indonesia

Smart Chemical Material Store System Using IOT and Raspberry PI

Economic enhancement and grid‐frequency control of a wind farm‐CAES‐fuel cell‐based hybrid system

Contact Info

Product

Resources

About