Environment Compatible Management Strategy of Distributed Generation Based on Neural Network with a Power Capacity Index

Zahedi, Rafi; Gharehpetian, Gevork B.; Rastegar, Hassan

doi:10.1109/icee.2018.8472698

Cited by 7 publications

(5 citation statements)

References 19 publications

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“…Due to the sustainable development goals of the 2030 agenda about increasing the share of RESs in the global energy mix, their development is imperative [4,5]. Because it is abundant and free of fuel costs, solar energy is a promising energy source that has attracted wide attention, so that a variety of its applications, including Photovoltaic (PV) panels, has been developed [6][7][8][9]. PV panels are capable of converting solar irradiation into electricity [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Cleaning of Floating Photovoltaic Systems: A Critical Review on Approaches from Technical and Economic Perspectives

et al. 2021

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There are some environmental factors, such as ambient temperature, dust, etc., which cause a reduction in the efficiency of Photovoltaic (PV) systems. Installation of PV panels on the water surface, commonly known as Floating Photovoltaic (FPV) systems, is one solution to employ PV panels in a cooler environment, achieve higher efficiency, and reduce water evaporation. FPV systems open up new opportunities for scaling up solar generating capacity, especially in countries with high population density and valuable lands, as well as countries with high evaporation rates and water resources deficiency. Since the FPV system is an almost new concept, its cleaning techniques have not been comprehensively studied. While FPV systems are located on the surface of water resources and reservoirs, the water quality can limit the application of different cleaning techniques. Therefore, this paper investigates different techniques of FPV systems cleaning and categorizes them into water-based and water-free approaches. In addition, their cleaning frequencies, as well as economic aspects, are presented and discussed to determine their merits and demerits for using them in FPV systems.

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Section: Introductionmentioning

confidence: 99%

Cleaning of Floating Photovoltaic Systems: A Critical Review on Approaches from Technical and Economic Perspectives

et al. 2021

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“…It is assumed throughout this study that every residential dwelling connected to each bus incorporates a solar power generation system. Figure 1 presents an overview of the distribution system encompassing all buses adhering to the IEEE-33 [15] bus standard, encompassing EV chargers, two types of solar systems (BBSR and NBBSR), as well as residential load. Additionally, we introduce the concept of "PP," denoting a percentage of BBSR's capacity that utilities can employ to issue charging and discharging commands to/from the grid as needed.…”

Section: System Modelmentioning

confidence: 99%

“…Voltage deviation exceeding a limit can affect electric equipment's lifetime and trigger the protection relays. They can be represented as follows [15]:…”

Section: Cost Functionmentioning

confidence: 99%

“…PSO is an optimization technique that was created by Kennedy and Eberhart [15]. It is inspired by the behavior of bird flocking and fish schooling.…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

“…Each particle searches its local space to find the local minimum or maximum. The velocity and position of each particle can be updated according to its best experience and the best experience of its neighbors [15]. The variables of each PSO's particle are important factors to guarantee the optimal solution [16].…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

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Optimal Engagement of Residential Battery Storage to Alleviate Grid Upgrades Caused by EVs and Solar Systems

Ahmadian,

Zhang,

Gowda

et al. 2024

Adv. sci. technol. eng. syst. j.

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The integration of distributed energy resources has ushered in a host of complex challenges, significantly impacting power quality in distribution networks. This work studies these challenges, exploring issues such as voltage fluctuations and escalating power losses caused by the integration of solar systems and electric vehicle (EV) chargers. We present a robust methodology focused on mitigating voltage deviations and power losses, emphasizing the allocation of a Permitted Percentage (PP) of battery-based solar systems within residential areas endowed with storage capabilities.A key facet of this research lies in its adaptability to the changing landscape of electric transportation. With the rapid increase of electric trucks on the horizon, our proposed model gains relevance. By tactically deploying PP to oversee the charging and discharging of batteries within residential solar systems, utilities are poised not only to assist with grid resilience but also to cater to the upcoming demands spurred by the advent of new EVs, notably trucks. To validate the efficacy of our proposed model, rigorous simulations were conducted using the IEEE 33-bus distribution network as a designed testbed. Leveraging advanced Particle Swarm Optimization techniques, we have deciphered the optimal charging and discharging commands issued by utilities to energy storage systems. The outcomes of these simulations help us understand the transformative potential of various PP allocations, shedding light on the balance between non-battery-based and battery-based solar residences. This research underscores the need for carefully crafted approaches in navigating the complexities of modern grid dynamics amid the anticipated increase in electric vehicles.

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WITHDRAWN: Big Data Service in Distributed Network Environment Based on FPGA

Zhang

2020

Microprocessors and Microsystems

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Environment Compatible Management Strategy of Distributed Generation Based on Neural Network with a Power Capacity Index

Cited by 7 publications

References 19 publications

Cleaning of Floating Photovoltaic Systems: A Critical Review on Approaches from Technical and Economic Perspectives

Cleaning of Floating Photovoltaic Systems: A Critical Review on Approaches from Technical and Economic Perspectives

Optimal Engagement of Residential Battery Storage to Alleviate Grid Upgrades Caused by EVs and Solar Systems

WITHDRAWN: Big Data Service in Distributed Network Environment Based on FPGA

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