A Hierarchical Control Framework With a Novel Bidding Scheme for Residential Community Energy Optimization

Paudyal, Priti; Munankarmi, Prateek; Ni, Zhen; Hansen, Timothy M.

doi:10.1109/tsg.2019.2927928

Cited by 24 publications

(16 citation statements)

References 39 publications

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“…5) Dishwasher model: The representation of the state of Dish Washer (DW) is, as shown in equation (10). The status of DW is ON when the cumulative ON time is lower than the needed ON time to complete dishwashing.…”

Section: A Controllable Loads 1) Ewh Modelmentioning

confidence: 99%

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Reward-Based DSM Program for Residential Electrical Loads in Smart Grid

Muthuselvi¹,

Saravanan²

2020

IJACSA

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There is a positive attitude towards the use of different strategies for engaging in demand response (DR) programs in energy markets through the innovation and trend of smart grid technologies. In this paper, a reward-based approach is proposed that enhances the involvement of customers in the DR program by assuring the customer's comfort level. Most of the previous works considered limited controllable loads like thermal loads for demand side management (DSM). In this approach thermal and all active electrical loads are considered for the analysis. Comfort indicator is used for the analysis which is an important parameter for measuring comfort of each resident. This technique significantly reduces the utility reward cost and maximizes the user satisfaction level compared with existing approach. The numerical example considered in this work illustrates the fruitfulness of the proposed approach. This problem is formulated as mixed-integer linear programming (MILP) and solved by using CPLEX solver in General Algebraic Modelling Software (GAMS).

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Section: A Controllable Loads 1) Ewh Modelmentioning

confidence: 99%

“…Demand Bidding (DB) is a process that encourages consumers to involve actively in electricity usage trading. It offers incentives for accepting to reduce their electricity usage during peak load periods [10], [11]. Incentive-based DR programs is the most powerful tool for handling peak load and attract more consumers in the DR program.…”

Section: Introductionmentioning

confidence: 99%

Reward-Based DSM Program for Residential Electrical Loads in Smart Grid

Muthuselvi¹,

Saravanan²

2020

IJACSA

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“…Almost all of the necessary infrastructure to conduct experimental studies on this area is provided in the SMLUT. The developed automation infrastructure enables the studies on the evaluation of new hierarchical control strategies before their real implementation [24].…”

Section: A Monitoring Control and Automation In Smart Networkmentioning

confidence: 99%

Smart Microgrid Educational Laboratory: An Integrated Electric and Communications Infrastructures Platform

et al. 2020

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Microgrids as the local area power systems are changing the power system landscape due to their potential of offering a viable solution for integrating renewable energy resources into the main grid. From the operational point of view, microgrids should have the appropriate power electronic interfaces, control schemes, as well as monitoring and automation infrastructures to provide the required flexibility and meet the related IEEE 1547 standard requirements. This paper describes some of the efforts made in the smart microgrid educational laboratory to provide these facilities and create a real-world conditions needed to conduct researches and teach the related courses. Laboratory works not only increase the practical skills of the students but also can motivate them to pursue theoretical courses with more passion. The introduced facilities are somehow unique for the integration of both electric and communication infrastructures which overcome the shortcomings of not considering data transfer challenges in the studies. Complete hardware design of power plant components, and incorporation of solar photovoltaic (PV) and two types of wind turbine generations are some of the efforts made to bring the real-world conditions in the laboratory. In the load-related side, dynamic behaviors of the various types of motors are modeled. To demonstrate some of the laboratory applications, some experimental studies have been carried out. The results show that this laboratory model is useful to provide insightful perspectives about the microgrid future.

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“…Such methodologies cannot be applied to our setting, as they do not address the problem of constraining the aggregated demand of residential users within given desired bounds. In [24], a twolayer control framework is proposed to perform peak shaving (i.e., keeping the aggregated power demand below a given upper threshold). However, in our setting, we are interested in acting on domestic batteries, which allows a more widespread use, while [24] focuses on (smart) HVAC only.…”

Section: Introductionmentioning

confidence: 99%

“…In [24], a twolayer control framework is proposed to perform peak shaving (i.e., keeping the aggregated power demand below a given upper threshold). However, in our setting, we are interested in acting on domestic batteries, which allows a more widespread use, while [24] focuses on (smart) HVAC only.…”

Section: Introductionmentioning

confidence: 99%

A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries

Melatti

Mari

Mancini

et al. 2022

IEEE Trans. Ind. Electron.

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Within electrical distribution networks, substation constraints management requires that aggregated power demand from residential users is kept within suitable bounds. Efficiency of substation constraints management can be measured as the reduction of constraints violations w.r.t. unmanaged demand. Home batteries hold the promise of enabling efficient and user-oblivious substation constraints management. Centralized control of home batteries would achieve optimal efficiency. However, it is hardly acceptable by users, since service providers (e.g., utilities or aggregators) would directly control batteries at user premises. Unfortunately, devising efficient hierarchical control strategies, thus overcoming the above problem, is far from easy. We present a novel two-layer control strategy for home batteries that avoids direct control of home devices by the service provider and at the same time yields nearoptimal substation constraints management efficiency. Our simulation results on field data from 62 households in Denmark show that the substation constraints management efficiency achieved with our approach is at least 82% of the one obtained with a theoretical optimal centralized strategy. NOMENCLATUREs EDN substation T s set of time slots for substation s U set of houses (users) t time slot (element of T ) u house (element of U ) T u set of time slots for house u; note that, for all notation depending on an house index u, if the house is understood, u is not shown T u,P set of time slots in T u in which the EV is plugged-in on house u τ l duration (in minutes

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A Hierarchical Control Framework With a Novel Bidding Scheme for Residential Community Energy Optimization

Cited by 24 publications

References 39 publications

Reward-Based DSM Program for Residential Electrical Loads in Smart Grid

Reward-Based DSM Program for Residential Electrical Loads in Smart Grid

Smart Microgrid Educational Laboratory: An Integrated Electric and Communications Infrastructures Platform

A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries

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