Demand-side energy management by cooperative combination of plans: A multi-objective method applicable to isolated communities

Christo, Tiago Malavazi de; Perron, Sylvain; Fardin, Jussara Farias; Simonetti, Domingos Sávio Lyrio; Alvarez, Cristina Engel de

doi:10.1016/j.apenergy.2019.02.011

Cited by 25 publications

(12 citation statements)

References 25 publications

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“…The objective of our proposed framework is to reduce the energy cost of all microgrids while satisfying all the associated constraints. The overall mathematical modeling of the proposed framework is summarized in equation (19).…”

Section: The Total Electricity Cost Is the Combination Of Energy Purcmentioning

confidence: 99%

“…The results show that the minimization of peak demand reduces the peak to average power up to 7.32%. A hybrid power generation system along with an energy management algorithm in the microgrid environment presented in [19] reduces the electricity cost by 8.6% including maintenance cost. The authors in [20], used IoT based smart energy management system to reduce the consumers' energy consumption during peak hours.…”

Section: Introductionmentioning

confidence: 99%

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Joint Energy Management and Energy Trading in Residential Microgrid System

et al. 2020

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The sustainability of the power systems assures consumers to have efficient and cost-effective energy consumption. Consumers' energy management is one of the solutions that in fact boosts the power system stability via efficiently scheduling the appliances. In addition to energy management, consumers fulfill their low-cost energy consumption using decentralized energy generation (such as solar, wind, plugin hybrid electric vehicles, and small diesel generator). This decentralized energy generation and its trading among the prosumers and consumers help in the distribution grid stability and continuous supply. In this paper, the joint energy management and energy trading model is presented, which provides low-cost electricity consumption to the distribution system. The proposed framework is a twofold system. In the first fold, the distribution system is divided into a number of microgrids, where each microgrid electricity demand is managed using a unified energy management approach. While the local energy produced is traded among the microgrids in the second fold, through energy trading concepts that fulfill the consumers' demand without stressing the utility company. The results indicate that the proposed model reduced the electricity cost of the microgrids with maximum share of self-generation. Moreover, the results also indicate that each microgrid either fulfills its electricity demand from self-generation or purchases it from the nearby microgrid. INDEX TERMS Smartgrid, Unified demand side management, Peak to average power ratio, Consumer comfort level.. Nomenclature β 1 , β 2 Set of appliances having various priorities, e.g., β 1 ∈ {Washing machine, dish washer} and β 2 ∈{Dryer, sterilizer}, etc. γ t Peak clipping maximum limit. λ t,n v,a Consumer preference factor A n Set of appliances of consumer's n.

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Section: The Total Electricity Cost Is the Combination Of Energy Purcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint Energy Management and Energy Trading in Residential Microgrid System

et al. 2020

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“…For instance, microgrid is becoming a proper solution for improving the networks DGs hosting capacity [65]. Indeed, a big effort has been paid toward improving the concept of microgrids [65][66][67][68][69][70]. The conventional power system structure is experiencing a significant change.…”

Section: Planning Of LV Distribution Networkmentioning

confidence: 99%

“…The conventional power system structure is experiencing a significant change. Therefore, different approaches have been studied heavily in the current literature such as demand response (DR) [68,71], virtual power plants [72,73], improved optimisation methods for DGs planning and operations [7,[74][75][76][77][78][79][80], ADSs as an operation methodology for the SGs, which has been studied in [63,[81][82][83]. These papers established new methodologies which can handle the changes posed by moving toward SGs and/or smart cities.…”

Section: Planning Of LV Distribution Networkmentioning

confidence: 99%

Planning and operation of LV distribution networks: a comprehensive review

Al-Ja’Afreh

Mokryani

2019

IET Energy Systems Integration

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The low‐voltage (LV) distribution network is the last stage of the power network, which is connected directly to the end‐user customers and supplies many dispersed small‐scale loads. To achieve environmental targets and to address the energy shortage issue, governments worldwide increase the renewable energy sources (RESs) into the electricity grid. In addition, different types of low carbon technologies (LCTs) such as electric vehicles are becoming widely used. A significant portion of RES and LCTs is penetrated into the LV distribution network, which poses a wide range of challenges. To address these challenges, there is a persistent need to develop traditional planning and operation frameworks to cope with these new technologies. In this context, this study provides a comprehensive review of planning, operation, and management of LV distribution networks. The characteristics, types, and topologies of LV distribution networks plus different aspects of operation and planning are investigated. An insightful investigation of the reasons impacts and mitigation of voltage and current unbalanced in LV networks is provided. Moreover, the main three‐phase power flow techniques used to analyse the LV networks are analysed.

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“…Balderrama et al [42] developed an open-source modelling framework that is applied to real local data to consolidate field practices and two-stage stochastic modelling approaches for isolated hybrid microgrids in a rural context. Christo et al [43] proposed multi-objective optimization algorithm search for the set of plans that minimizes both the cost of energy production and the discomfort of the isolated communities when they indicate that the proposed method can contribute to the adjustment of the aggregate demand profile of users.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Topologies for Autonomous Hybrid Microgrids in Remote Non-Interconnected Communities in the Amazon Region

et al. 2020

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This work presents a detailed comparative analysis of dispersed versus centralized Alternating Current (AC)-coupling topologies and AC-coupling versus Direct Current (DC)-coupling topologies in autonomous Photovoltaic (PV)-diesel-battery microgrids for remote/isolated communities in the Brazilian Amazon region. The comparison concerned the power losses occurring in power conversion devices and in a low-voltage distribution network by using the balance-of-system (BOS) efficiency as a performance index. The analyses were performed by an analytical approach and by detailed computer simulations in MATLAB/Simulink software. Based on the matching factor (MF), the gain obtained in BOS efficiency is 1.5% for low values of the MF, and for high values of the MF, the centralized topology has the same BOS efficiency as the dispersed topology. In conclusion, this factor proved to be useful as a design parameter for selecting the optimal topology of a PV-diesel-battery microgrid.

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Demand-side energy management by cooperative combination of plans: A multi-objective method applicable to isolated communities

Cited by 25 publications

References 25 publications

Joint Energy Management and Energy Trading in Residential Microgrid System

Joint Energy Management and Energy Trading in Residential Microgrid System

Planning and operation of LV distribution networks: a comprehensive review

Performance Analysis of Topologies for Autonomous Hybrid Microgrids in Remote Non-Interconnected Communities in the Amazon Region

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