A Framework for Demand Bidding to Achieve Demand Response Objectives by EVs Charging and Heating Loads

Malik, Farhan H.; Humayun, Muhammad; Lehtonen, Matti

doi:10.15866/iree.v12i4.11895

Cited by 1 publication

(3 citation statements)

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“…In this study, the uncertainties of the PV units and demands are also considered utilizing the robust optimization technique. In [18] the authors propose a new framework for utilizing the flexibility of EVs and other heating loads to provide demand response services to the grid. [19] proposes new control and management principles for distributed energy resources to increase their participation in providing frequency control locally, but the ramp service is not considered in this paper.…”

Section: Resmentioning

confidence: 99%

“…The profits and cost terms related to BESSs in the objective function (1) are presented in ( 18) -( 22) in which, (18) and (19) shows the BESSs expected profits in regulation and ramp services, respectively. The expected shortage costs for BESSs in regulation and ramp services are also shown in (20) and (21).…”

Section: Iii2 Scheduling Of Besssmentioning

confidence: 99%

“…International Review of Electrical Engineering, Vol. 18, N. 1 9 partly supply the load demand. In this context, RESs could be participated in energy and reserve markets to maximize their profits.…”

Section: Res I T M Pmentioning

confidence: 99%

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Day-Ahead Optimal Scheduling of Resources in a Distribution System in Joint Energy, Regulation and Ramp Markets

Naseri,

Fattaheian-Dehkord,

Abbaspour

et al. 2023

IREE

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The increasing trend of integrating Renewable Energy Sources (RESs) into power systems could cause operational challenges in the system from flexibility and reliability perspectives. Respectively, utilities would be relied on local flexible resources to address the flexibility requirements in power systems. In this respect, local resources in distribution systems could participate in ancillary markets along with the wholesale energy markets to address the flexibility capacity shortage in the system. Consequently, this paper aims to provide a framework to optimize the scheduling of resources in distribution networks while participating in energy, regulation, and ramp markets. Correspondingly, this approach would maximize the profits of the local resources in distribution systems whereas providing Flexible Ramp Product (FRP) and regulation reserve for the system operators. Respectively, an optimized bidding strategy is developed to maximize the profits of the local resources, while modeling the operational constraints of the distribution grids and power losses to improve the accuracy of the proposed scheme. Furthermore, the chance constrained concept is taken into account in the proposed scheme to model the uncertainty of RESs. Finally, the model is applied on the IEEE-37-bus-testsystem and the sensitivity analysis is employed to investigate its effectiveness in the management of the system.

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Section: Resmentioning

confidence: 99%