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Your search keyword '"Khaparde, Shrikrishna A."' showing total 22 results
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22 results on '"Khaparde, Shrikrishna A."'

2. Chance-Constrained Pre-Contingency Joint Self- Scheduling of Energy and Reserve in VPP

Author

Majumder, Subir, Khaparde, Shrikrishna A., Agalgaonkar, Ashish Prakash, Kulkarni, S. V., Srivastava, Anurag K., and Perera, Sarath

Abstract

With the increasing penetration of primarily inertia-less distributed energy resources, allowable delay in the fast frequency reserve provision to ensure marginal stability condition can become comparable with the requisite dead-time for fast-switching in a radial power distribution system (PDS) connected to the transmission system. Consequently, the prevailing short-duration load-generation imbalance might propagate as system-wide frequency excursion in the future power system, which traditionally has not been observed. Furthermore, during the fast-switching, some of the fast-acting reserve (FAR) providing local generators remain inaccessible to the bulk power system (BPS). This work has answered the questions of requisite reserve requirements to cater to such events through efficient energy and FAR provision joint-scheduling. Stochasticity of fast-switching, with temporary faults as a use-case, requires modeling of load-generation imbalance and local resource unavailability, vis-á-vis FAR requirement problem, as a chance-constraint. Due to the limited visibility at the BPS level, PDS operators must ensure sufficient FAR availability for a given confidence level of the chance-constraint. Individual chance-constraints are used to ensure mathematical simplicity. Here, the PDS is operated as a virtual power plant (VPP), where the operator can procure resources locally or from the wholesale market with the aim of profit maximization before the contingency occurs. Results show that FAR requirements can influence the local energy schedule and raise energy costs. Furthermore, the confidence level of the chance-constraint can impact overall profitability, and FAR should be scheduled carefully. Comparative analysis with a modified benchmark IEEE 33-node radial test system and a 98-node test system shows the superior performance of the proposed approach. The impact of the limited available FAR is also demonstrated.

Published
2024
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19. Revenue and ancillary benefit maximisation of multiple non-collocated wind power producers considering uncertainties.

Author

Majumder, Subir and Khaparde, Shrikrishna A.

Subjects
*WIND power, *CLEAN energy, *RENEWABLE energy sources, *WIND power plants, *NONLINEAR programming
Abstract

In this study, optimal scheduling of multiple non-colocated, price taker, independent wind power producers (WPPs) participating in forward day-ahead (DA) distribution electricity market is described; where, a WPP is comprised of multiple wind turbine generator (WTG) and battery storage device (BSD). Cost equivalent of reduction in network losses and improvement in voltage profile for non-colocated placement of WTG and BSD in Distribution Network (termed as ancillary benefit) is included in the objective function resulting in a scheduling strategy dependent upon location of WPP in the network. Objective function comprises of following sub-objectives: (i) maximize return from energy market, (ii) maximize benefit obtained from providing ancillary services, and (iii) minimize uncertainties in schedule by providing reserve from BSDs. Non-linear programming (NLP) technique is used for scheduling. Location of a WPP is varied to obtain a 'profit map'; which can be used as an 'offline-tool' to find out relative location of WTG and BSD for profit maximization. Proposed formulation is extended to participation of multiple WPP, where ancillary benefit is proportionally shared. Wind power forecast uncertainty leads to risk of not meeting the schedule and is probabilistically modeled in this work. Impact of reserve on DA energy schedule of is also studied. [ABSTRACT FROM AUTHOR]

Published
2016
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