Scheduling of Smart Micro Grid Considering Reserve and Demand Side Management

Chamandoust, Heydar; Hashemi, Abozar; Derakhshan, Ghasem; Hakimi, Mehdi J.

doi:10.1109/sgc.2018.8777926

Cited by 21 publications

(17 citation statements)

References 24 publications

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“…Electrical demand and electrical price in the upstream grid is shown in Fig. 4 [54]- [56]. It should be mentioned, that maximum power generation is 500 kWh, and value of the demand shifting by flexible appliances participation is 35 %.…”

Section: Numerical Simulation and Case Studiesmentioning

confidence: 99%

Optimal Energy Scheduling of Appliances in Smart Buildings Based on Economic and Technical Indices

Muda

Dwijendra

Awsi

et al. 2022

Environmental and Climate Technologies

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In this article, optimal energy consumption in the smart houses is studied considering techno-economic indices and demand side management (DSM) in electrical grids. The optimal energy consumption is implemented based on optimal scheduling of the household appliances than energy price and capacity of demand flexibility in DSM. The proposed approach is considered as two-stage optimization. Using first stage, energy consumption is modified by optimal shifting of the appliances subject to DSM and energy price. Thus, modified energy consumption is taken into accounted in second stage optimization to maximizing the consumers comfort and minimizing operation cost, simultaneously. The optimization process is done in the MATLAB software, in which objectives in second stage are optimized via lp-metric method. Finally, the performance of the proposed modelling is validated as case studies using numerical simulation.

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Section: Numerical Simulation and Case Studiesmentioning

confidence: 99%

Optimal Energy Scheduling of Appliances in Smart Buildings Based on Economic and Technical Indices

Muda

Dwijendra

Awsi

et al. 2022

Environmental and Climate Technologies

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“…Implementation of these strategies yields several benefits like operation cost minimization, load curtailment, and energy efficiency enhancement. 4 The reported literature on the economic and technical aspects of EMS is diverse in objectives and proliferating in the field of research on microgrids.…”

Section: Introductionmentioning

confidence: 99%

“…Several DSM strategies, such as load shifting, peak clipping, and flexible load shaping, have been introduced to enable the interaction between MG operators and consumers. Implementation of these strategies yields several benefits like operation cost minimization, load curtailment, and energy efficiency enhancement 4 . The reported literature on the economic and technical aspects of EMS is diverse in objectives and proliferating in the field of research on microgrids.…”

Section: Introductionmentioning

confidence: 99%

“…In most of the previous research works, the microgrid EMS problem is solved with distinct objectives, including minimization of operation costs are day‐ahead, 8 intraday markets, 14 incentive‐based, 23 and price‐based 24 demand response programs 25,26 . The prior research on the assimilation of utility‐induced DSM tactics into the EMS problem is focused on load reduction 4 and strategic conversion 5 . In contrast to these works, the flexible load shaping strategy is introduced in recent research 27 to enhance utility and MG energy exchange costs.…”

Section: Introductionmentioning

confidence: 99%

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Optimal day ahead energy consumption management in grid‐connected microgrids

Raghav

Kumar

Raju

et al. 2021

Intl J of Energy Research

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The day-ahead scheduling of microgrids in the presence of nondispatchable distributed generators (DGs) is a challenging task for microgrid operators. The valve point loading problem of distributed generators and its effect on inputoutput characteristics is not extensively covered in the published scientific literature on microgrids. In this research work, the day-ahead scheduling problem of microgrids is formulated in the presence of DGs with a nonconvex cost function. First, the flexible load-shaping based demand-side management strat-

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“…Hence, utilization of energy hybrid system can have an impact on economic, environmental and reliability indices of system based on customer's behaviour in the energy consumption. However, one of the best advancements in the smart grids, establishing Smart Energy Hub System (SEHS) as multi-applications to supply the demand side [2], [3]. The SEHS, using bilateral communication link between customers and generation units, is able to provide optimal coordination between units and customers participating in load profile transformation.…”

Section: Introductionmentioning

confidence: 99%

Multi-objectives Optimal Scheduling in Smart Energy Hub System with Electrical and Thermal Responsive Loads

Chamandoust

Derakhshan

Hakimi

et al. 2020

Environmental and Climate Technologies

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AbstractIn this study, multi-objective optimal scheduling of smart energy Hub system (SEHS) in the day ahead is proposed. A SEHS is comprising of interconnected energy hybrid system infrastructures such as electrical, thermal, wind, solar, natural gas and other fuels to supply many types of electrical and thermal loads in a two-way communication platform. All objectives in this paper, are minimized and consist of 1) operation cost and emission polluting in generation side, 2) loss of energy supply probability (LESP) in demand side, and 3) deviation of electrical and thermal loads with the optimal level of electrical and thermal profile in the day ahead. The third objective to flatten electrical and thermal demand profile using Demand Side Management (DSM) by the optimal shifting of electrical and thermal shiftable loads (SLs) is proposed. Also, stochastic modelling of renewable energy sources (RESs) and electrical and thermal loads by Monte Carlo technique is modelled. Using GAMS optimization software, proposed approach by ε -constraint method for obtaining to non-dominated Pareto solutions of objectives is implemented. Moreover, by the decision-making method, the best solution of non-dominated Pareto solutions is selected. Finally, two case studies and sensitivity analysis in case studies for confirmation of the proposed approach are analysed.

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Scheduling of Smart Micro Grid Considering Reserve and Demand Side Management

Cited by 21 publications

References 24 publications

Optimal Energy Scheduling of Appliances in Smart Buildings Based on Economic and Technical Indices

Optimal Energy Scheduling of Appliances in Smart Buildings Based on Economic and Technical Indices

Optimal day ahead energy consumption management in grid‐connected microgrids

Multi-objectives Optimal Scheduling in Smart Energy Hub System with Electrical and Thermal Responsive Loads

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