Smart energy-consumption management system considering consumers' spending goals (SEMS-CCSG)

Yaqub, Raziq; Ahmad, Sadiq; Ahmad, Ayaz; Amin, Muhammad

doi:10.1002/etep.2167

Cited by 50 publications

(28 citation statements)

References 27 publications

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“…The constraints shown in (10) will assure minimum peak to average power ratio (PAPR). The PAPR is given by P AP R = peak demand of microgrid average demand of microgrid ∀ v, t (11) In equation 11, if the value of the nominator is reduced then PAPR will also be reduced. Moreover, while limiting the peak demand, the line losses will be also reduced.…”

Section: If the Starting Time Slot For Washing Machine Operation Ismentioning

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: If the Starting Time Slot For Washing Machine Operation Ismentioning

confidence: 99%

“…This redistribution of demand curve minimizes the peak demand of each microgrid which helps to curtail the PAPR. This peak clipping not only reduces the distribution losses but also plays an important role in PAPR reduction shown in equation (11).…”

Section: A Case Studiesmentioning

confidence: 99%

Joint Energy Management and Energy Trading in Residential Microgrid System

et al. 2020

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“…36 The main problem is that the WPP intermittent happens during the peak load hours and therefore, the DSM technologies can be considered to reduce the consumption in such hours. 37 For this reason, this article proposes a collaborative FACTS and DR program to alleviate the congestion of wind integrated transmission networks under the liberalized electricity market. In doing so, a practical case study based on the modified IEEE 24-bus reliability test system (RTS), as shown in Figure 6, 38 is employed to verify the performance and usefulness of the proposed approach.…”

Section: Data and Case Studymentioning

confidence: 99%

InteractiveFACTSand demand response program as an incremental welfare consensus for maximizing wind power penetration

Gazijahani

Ghaemi

Farrokhifar

et al. 2020

Int Trans Electr Energ Syst

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This article deals with congestion management of transmission networks to maximize the penetration of wind power by proposing an incremental welfare consensus algorithm based on flexible alternating current transmission systems (FACTS) and demand response (DR) program. The proposed model takes the locational marginal prices as an input to manage both FACTS device and DR resources. To this end, an innovative two-stage market-clearing procedure is developed. Where in the first stage, the players bid to the market aimed at maximizing their profit, and the independent system operator clears the market based on social welfare maximization. In the second stage, a generation redispatch problem is executed in which FACTS device controllers and incentivebased DR are optimally coordinated to minimize the rescheduling costs of generation companies. Two distinct types of FACTS devices consisting of thyristor controlled series capacitor and static synchronous compensator are utilized here. Finally, a case study is accomplished on the modified IEEE one-area 24-bus reliability test system. The results achieved from simulations confirm that the proposed interactive DR and FACTS model not only alleviates the congestion of the system, but also increases the flexibility of the system to harvest the wind power as much as possible.

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“…Let the starting time be t s = 540 th minute then its ending time will be the 570 th minute. To get information about each and every appliance of all consumers, e.g., input parameter, upper and lower bound, budget, etc, an aggregator should be installed at consumer's premises shown in Figure . The aggregator collects all the information about appliances operation, their operating time interval, HIF, type of appliance, consumer's availability, appliances priority, and preferences.…”

Section: Rem Problem Statementmentioning

confidence: 99%

Low complexity approach for energy management in residential buildings

Ahmad

Naeem

Ahmad

2018

Int Trans Electr Energ Syst

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Summary Energy management in residential buildings is one of the major keys for achieving the ambitious goals of efficient energy consumption, minimum carbon footprint, and reduced consumers energy expenditures. In this paper, we propose a novel residential energy management (REM) approach that is different from the conventional approaches. We formulate a REM problem with the objective to maximize the consumers utility under various practical constraints that include human interaction factor, unavailability of power supply, consumers preferences, and priorities. These constraints involve very high number of binary decision variables and result in extremely high search space that renders the solution of the REM problem prohibitively difficult. The application of standard optimization methods to this problem either require huge computational complexity or cannot find its optimal solution. Therefore, to optimally solve this problem, we propose a novel approach where we convert the original problem into an equivalent mathematical model with reduced number of constraints and decision variables. This significantly reduces the solution space of the problem, and standard optimization methods can be used for finding its optimal solution. The simulation conforms that the solution of the reformulated equivalent problem obtains optimal solution to the original REM problem with remarkably reduced computational complexity.

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Smart energy-consumption management system considering consumers' spending goals (SEMS-CCSG)

Cited by 50 publications

References 27 publications

Joint Energy Management and Energy Trading in Residential Microgrid System

Joint Energy Management and Energy Trading in Residential Microgrid System

InteractiveFACTSand demand response program as an incremental welfare consensus for maximizing wind power penetration

Low complexity approach for energy management in residential buildings

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