Energy Management and Smart Grids

Miceli, R.

doi:10.3390/en6042262

Cited by 114 publications

(59 citation statements)

References 10 publications

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“…According to the time-section discrete processing method, as well as the ambient temperature and building parameters, the room temperature control model can be established via the principle of thermal balance [72][73][74][75] as:…”

Section: Building Equipment Modelsmentioning

confidence: 99%

Local Energy Management and Optimization: A Novel Energy Universal Service Bus System Based on Energy Internet Technologies

Cheng¹,

Zhang²,

Jiang³

et al. 2018

Preprint

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This paper develops a novel energy universal service bus system (EUSBS) based on emerging energy Internet (E-net) technologies. This EUSBS is a unified identification and plug-andplay interface platform to which high penetration distributed energy and equipment (DEE), including photovoltaic (PV), fans, electric vehicle charging stations (EVCSs), energy storage equipment (ESE), and commercial and residential users (CRUs), can access in a coordinated control and optimized utilization mode. First, the functions design, overall framework and topology architecture design of the EUSBS are expounded, among which the EUSBS is mainly composed of a hardware system and a software platform. Moreover, several future application scenarios are presented. Then, the hardware part of EUSBS is designed and developed, including the framework design of this hardware subsystem, and development of the hardware equipment for PV access, fans access, EVCS access, ESE access, and CRU access. The hardware subsystem consists of smart socket, and household/floor/building concentrators. Based on this, the prototypes development of EUSBS hardware equipment is completely demonstrated. Third, the software part of the EUSBS is developed as a cloud service platform for electricity use data analysis of DEE. This software subsystem contains the power quality & energy efficiency analysis module, optimization control module, information and service module, and data monitoring and electricity behavior analysis module. Based on this design, the software interfaces are developed. Finally, an application study on energy management and optimization of a smart commercial building is conducted to evaluate the functions and practicality of this EUSBS. The EUSBS developed in this paper is able to overcome difficulties in big data collection and utilization on sides of distribution network and electricity utilization, and eventually implement a deep information-energy fusion and a friendly supplydemand interaction between the grid and users. This contribution presents a detailed and systematic development scheme of the EUSBS, and moreover, the laboratory prototypes of the hardware and software subsystems have been developed based on E-net technologies. This paper can provide some thoughts and suggestions for the research of active distribution network and comprehensive energy management and optimization in power systems, as well as references and guidance for researchers to carry out research regarding energy management, optimization and coordinated control of the smart buildings.

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Section: Building Equipment Modelsmentioning

confidence: 99%

Local Energy Management and Optimization: A Novel Energy Universal Service Bus System Based on Energy Internet Technologies

Cheng¹,

Zhang²,

Jiang³

et al. 2018

Preprint

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“…With the Power utility industry grappling with serious issues like load management which has a potential of damaging their operational equipment and that of customers [3], first movers are turning to advanced technologies such as the IoTs to achieve demand-side management. This technology enables utilities to supply electric power more efficiently and reduce unnecessary blackouts.…”

Section: Introductionmentioning

confidence: 99%

An Algorithm for using Internet of Things (IoTs) to Improve Load Management in Electric Power Grid

Mahlangu¹,

Musungwini²,

Nleya³

2018

IJCA

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Several new technologies, for example, the Internet of Things (IoTs) continue to surface in the frontage of ubiquitous and pervasive computing. Internet of things is slowly being embraced in different domains to support control and monitoring systems. The advent of microprocessors embedded with communication facilities has enabled the possibility of integrating ICTs within people and their environments. With the power utilities industry grappling with serious issues like load management which has a potential of damaging their equipment, first movers are turning to advanced technologies such as the IoTs to achieve demandside management. The purpose of this study was to conduct a theoretical and empirical review on the approaches used by Power utilities to manage load in order to determine how IoTs can be used particularly by Zimbabwe's Power utility to solve the supply-demand problem. Currently, the load management approaches used by the Power utility in Zimbabwe are load shifting and load shedding. A conceptual model was developed using C++ guided by the algorithm for load management. The model development was motivated by the research gap establish from the literature review and the problem faced by the Power utility in Zimbabwe in balancing demand and supply during peak periods. The idea is modelled around continuous monitoring of the feeder or substation, activating the automatic control and carrying out load allocation procedure based on priority settings, connection, and re-connection timings. The proposed model is also based on the dependence of demand and consumer priority perception. The model will ensure that electricity is available for basic and essential use in times of increased demand. It requires that load demand is constantly monitored to trigger automatic control and appliances should connect to the electric power grid using smart plugs.

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“…End-users benefits from the lowestcost generation sources, as well as from centralized renewable energy sources (wind turbines). [5] [6] Beyond these benefits, smart grid technologies interestingly enable a high level of inclusion of renewable energy source in an electricity system. With renewable power shares sure to continue increasing, smart grid technologies in combination with appropriate supporting policies and regulations will be essential to transform the electricity system and create the grid infrastructure to support a sustainable energy future [7].…”

Section: Smart Grid Applicationsmentioning

confidence: 99%

Conceptual Study on Renewable Energy and Electric Vehicle Integration in smart grids

2018

ijasre

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Energy Management and Smart Grids

Cited by 114 publications

References 10 publications

Local Energy Management and Optimization: A Novel Energy Universal Service Bus System Based on Energy Internet Technologies

Local Energy Management and Optimization: A Novel Energy Universal Service Bus System Based on Energy Internet Technologies

An Algorithm for using Internet of Things (IoTs) to Improve Load Management in Electric Power Grid

Conceptual Study on Renewable Energy and Electric Vehicle Integration in smart grids

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