Controllable Load Management Approaches in Smart Grids

Shen, Jingshuang; Jiang, Chuanwen; Li, Bosong

doi:10.3390/en81011187

Cited by 78 publications

(36 citation statements)

References 71 publications

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“…Moreover, the improvement of the quality of service is one of their main priorities [5,6]. Thus, an essential characteristic of a SG network is its strong Distributed Generation (DG) [7] and Distributed Energy Storage (DES) [8] presence, which together with Demand-Side Management (DSM) [9,10] systems make up microgrids [11] and provide improvements in the network reliability [12]. However, this presence shifts the traditional philosophy of Transmission and Distribution (T&D) systems, adding bidirectional energy flows along them.…”

Section: Introductionmentioning

confidence: 99%

A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems

et al. 2016

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Abstract:In the last few decades, the Smart Grid paradigm presence has increased within power systems. These new kinds of networks demand new Operations and Planning approaches, following improvements in the quality of service. In this sense, the role of the Distribution Management System, through its Outage Management System, is essential to guarantee the network reliability. This system is responsible for minimizing the consequences arising from a fault event (or network failure). Obviously, knowing where the fault appears is critical for a good reaction of this system. Therefore, several fault location techniques have been proposed. However, most of them provide individual results, associated with specific testbeds, which make the comparison between them difficult. Due to this, a review of fault location methods has been done in this paper, analyzing them for their use on underground distribution lines. Specifically, this study is focused on an impedance-based method because their requirements are in line with the typical instrumentation deployed in distribution networks. This work is completed with an exhaustive analysis of these methods over a PSCAD TM X4 implementation of the standard IEEE Node Test Feeder, which truly allows us to consistently compare the results of these location methods and to determine the advantages and drawbacks of each of them.

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Section: Introductionmentioning

confidence: 99%

A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems

et al. 2016

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“…The model demonstrated that moving from a day and night ET structure to a flat ET structure for a dairy farm resulted in significant electricity cost increases. Impacts of electricity pricing structures on REµGs have also been studied in [5][6][7][8][9][10][11][12][13][14][15][16][17] and it has generally been found that exposing electricity consumers to variable ET structures encourages demand response and promotes demand side management. FIT policies have proven successful in the growth of renewable energy implementations [8,[16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

A Decision Support Tool for Building Integrated Renewable Energy Microgrids Connected to a Smart Grid

2017

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Abstract:The objective of this study was to create a tool that will enable renewable energy microgrid (REµG) facility users to make informed decisions on the utilization of electrical power output from a building integrated REµG connected to a smart grid. A decision support tool for renewable energy microgrids (DSTREM) capable of predicting photovoltaic array and wind turbine power outputs was developed. The tool simulated users' daily electricity consumption costs, avoided CO 2 emissions and incurred monetary income relative to the usage of the building integrated REµG connected to the national electricity smart grid. DSTREM forecasted climate variables, which were used to predict REµG power output over a period of seven days. Control logic was used to prioritize supply of electricity to consumers from the renewable energy sources and the national smart grid. Across the evaluated REµG electricity supply options and during working days, electricity exported by the REµG to the national smart grid ranged from 0% to 61% of total daily generation. The results demonstrated that both monetary saving and CO 2 offsets can be substantially improved through the application of DSTREM to a REµG connected to a building.

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“…Harnessing demand-side flexibility through DR (some examples of which are given in [7,8,[10][11][12][13] within the broader concept of demand-side Table 1. Objectives for deploying demand-side flexibility.…”

Section: Introductionmentioning

confidence: 99%

Harnessing the Flexibility of Thermostatic Loads in Microgrids with Solar Power Generation

et al. 2016

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This paper presents a demand response (DR) framework that intertwines thermodynamic building models with a genetic algorithm (GA)-based optimization method. The framework optimizes heating/cooling schedules of end-users inside a business park microgrid with local distributed generation from renewable energy sources (DG-RES) based on two separate objectives: net load minimization and electricity cost minimization. DG-RES is treated as a curtailable resource in anticipation of future scenarios where the infeed of DG-RES to the regional distribution network could be limited. We test the DR framework with a case study of a refrigerated warehouse and an office building located in a business park with local PV generation. Results show the technical potential of the DR framework in harnessing the flexibility of the thermal masses from end-user sites in order to: (1) reduce the energy exchange at the point of connection; (2) reduce the cost of electricity for the microgrid end-users; and (3) increase the local utilization of DG-RES in cases where DG-RES exports to the grid are restricted. The results of this work can aid end-users and distribution network operators to reduce energy costs and energy consumption.

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Controllable Load Management Approaches in Smart Grids

Cited by 78 publications

References 71 publications

A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems

A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems

A Decision Support Tool for Building Integrated Renewable Energy Microgrids Connected to a Smart Grid

Harnessing the Flexibility of Thermostatic Loads in Microgrids with Solar Power Generation

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