Stochastic multi-objective programming for simultaneous clearing of energy and spinning reserve markets considering reliability preferences of customers

•A new simultaneous energy and SR markets clearing model is presented.•ISO is not further responsible for determining and procuring the required SR.•DISCOs declare VOLLs to SR market and subscribe desired SR in every contingency.•Subscribed SR of a DISCO is not only dependant on the amount of its VO...

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Bibliographic Details
Published in:International journal of electrical power & energy systems Vol. 53; pp. 691 - 703
Main Authors: Amirahmadi, Meysam, Akbari Foroud, Asghar
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.12.2013
Elsevier
Subjects:
Applied sciences
Distribution company
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Expected Load Not Supplied
Generation company
Miscellaneous
Operation. Load control. Reliability
Power networks and lines
Reliability preferences
Spinning reserve
Spinning reserve
Distribution company
Reliability preferences
Expected Load Not Supplied
Generation company
Procurement
Costs
Clientele
Power system economics
Multiobjective programming
Mixed integer programming
Scheduling
Electric utility
Stochastic programming
Electrical network
Welfare
System simulation
Contingency table
Power markets
Objective function
ISO standard
Planning
Reliability
Electric power industry
ISSN:0142-0615, 1879-3517
Online Access:Get full text
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Summary:•A new simultaneous energy and SR markets clearing model is presented.•ISO is not further responsible for determining and procuring the required SR.•DISCOs declare VOLLs to SR market and subscribe desired SR in every contingency.•Subscribed SR of a DISCO is not only dependant on the amount of its VOLL.•DISCO’s position in network and power demand can affect the subscribed SR. Determination and procurement of required Spinning Reserve (SR) capacity have ever been major concerns in the power industry. In restructured power systems in various countries, Independent System Operators (ISO) determine the SR capacity requirements based on different criteria and procure the estimated SR on behalf of customers from SR market. In this paper a new stochastic joint energy and SR market clearing model is presented based on a multi-objective mixed integer nonlinear programming with three objective functions. In the proposed model the customers participate in SR market directly by declaring the Value of Lost Load (VOLL) and acquire the required SR. The responsibility of ISO to SR market is restricted to two proceedings; minimizing the total Expected Load Not Supplied (ELNS) of the power system and maximizing the post-contingency expected social welfare associated with the SR scheduling at the first and second objective functions. Meanwhile the pre-contingency offered cost is minimized at the third one. Simulation results from two test cases are presented to back up the conclusions.
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ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2013.05.042