Multi-objective demand side scheduling considering the operational safety of appliances

Du, Yali; Jiang, Lin; Li, Y.Z.; Counsell, John

doi:10.1016/j.apenergy.2016.07.016

Cited by 17 publications

(18 citation statements)

References 23 publications

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“…Shifting ON peak demand to OFF peak period under different energy pricing schemes in a net zero energy building was achieved in [39] for measuring savings in renewable energy credits. In [40], a Pareto algorithm was applied for a multi-objective appliance scheduling considering their safe operation. Electricity cost and appliance delays were among the topics discussed in [40].…”

Section: Peak Load Shiftingmentioning

confidence: 99%

“…In [40], a Pareto algorithm was applied for a multi-objective appliance scheduling considering their safe operation. Electricity cost and appliance delays were among the topics discussed in [40]. Peak load shifting was achieved in [41] considering both time of use tariff and energy storage system to manage building energy demand.…”

Section: Peak Load Shiftingmentioning

confidence: 99%

“…The power flow equations and grid codes are presented in (39)(40)(41)(42)(43)(44)(45)(46). In more details, constraints (39) and (40) represent the active and reactive power flow equations considering the critical and essential load buses, respectively.…”

Section: Ac Grid Codes Of Operationmentioning

confidence: 99%

See 2 more Smart Citations

Enabling electricity access: revisiting load models for AC‐grid operation ‐ Part I

Al-Sumaiti

Salama

Moursi

et al. 2019

IET Generation, Transmission & Distribution

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Meeting electricity demand in remote communities and non-electrified regions in the poor developing world is a challenge. Power generation is in shortage compared to electricity demand. Electric utilities either would enforce grid's zonal load curtailment or not electrify regions. Controlling electricity demand can play a vital role in enabling electricity access; however, weather uncertainty drives electricity demand variability. This paper provides an overview of current demand side management research, identify research gaps and propose a more promising approach to enable electricity access. Also, it proposes manipulating appliances models to fit their operation in applications where power supply shortage is an issue such. The proposed work considers the effect of the probabilistic nature of weather and meeting AC grid codes of operation.

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Section: Peak Load Shiftingmentioning

confidence: 99%

Section: Peak Load Shiftingmentioning

confidence: 99%

See 1 more Smart Citation

Enabling electricity access: revisiting load models for AC‐grid operation ‐ Part I

Al-Sumaiti

Salama

Moursi

et al. 2019

IET Generation, Transmission & Distribution

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“…To reduce the electricity cost, a Pareto-optimal front is proposed to provide scheduling decisions based on the relationship between two multi-objectives: the electricity cost and operational delay. The proposed approach is compared to the weight and constraint approaches, and the simulation results show that electricity cost is reduced and operational delay is enhanced [20].…”

Section: Related Workmentioning

confidence: 99%

“…Algorithm 1 presents the optimal scheduling technique. The execution steps of the proposed optimal scheduling techniques depend on the complexity at lines (8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24) in the for-loop. The complexities of other lines (i.e., 10-22) are more than these lines.…”

Section: Algorithm 1: Proposed Optimal Scheduling Technique [26]mentioning

confidence: 99%

An Efficient Power Scheduling in Smart Homes Using Jaya Based Optimization with Time-of-Use and Critical Peak Pricing Schemes

Dahunsi

Javaid

et al. 2018

Energies

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Presently, the advancements in the electric system, smart meters, and implementation of renewable energy sources (RES) have yielded extensive changes to the current power grid. This technological innovation in the power grid enhances the generation of electricity to meet the demands of industrial, commercial and residential sectors. However, the industrial sectors are the focus of power grid and its demand-side management (DSM) activities. Neglecting other sectors in the DSM activities can deteriorate the total performance of the power grid. Hence, the notion of DSM and demand response by way of the residential sector makes the smart grid preferable to the current power grid. In this circumstance, this paper proposes a home energy management system (HEMS) that considered the residential sector in DSM activities and the integration of RES and energy storage system (ESS). The proposed HEMS reduces the electricity cost through scheduling of household appliances and ESS in response to the time-of-use (ToU) and critical peak price (CPP) of the electricity market. The proposed HEMS is implemented using the Earliglow based algorithm. For comparative analysis, the simulation results of the proposed method are compared with other methods: Jaya algorithm, enhanced differential evolution and strawberry algorithm. The simulation results of Earliglow based optimization method show that the integration of RES and ESS can provide electricity cost savings up to 62.80% and 20.89% for CPP and ToU. In addition, electricity cost reduction up to 43.25% and 13.83% under the CPP and ToU market prices, respectively.

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Multi-objective Electrical Energy Scheduling in Smart Homes Using Ant Lion Optimizer and Evidential Reasoning

Kaveh

Eslamlou

2020

Metaheuristic Optimization Algorithms in Civil Engineering: New Applications

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Multi-objective demand side scheduling considering the operational safety of appliances

Cited by 17 publications

References 23 publications

Enabling electricity access: revisiting load models for AC‐grid operation ‐ Part I

Enabling electricity access: revisiting load models for AC‐grid operation ‐ Part I

An Efficient Power Scheduling in Smart Homes Using Jaya Based Optimization with Time-of-Use and Critical Peak Pricing Schemes

Multi-objective Electrical Energy Scheduling in Smart Homes Using Ant Lion Optimizer and Evidential Reasoning

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