Optimized load prediction for security constrained unit commitment dispatch using linear programming for electricity markets
First Claim
1. A computer implemented system for optimal pricing of energy and energy reserve in an electricity market of at least one market participant wherein load prediction is performed considering load system requirements, said system comprising:
- a database; and
a processor configured for;
determining constraints of said at least one market participant;
receiving thirty minute operating reserve energy bids from said market participants;
calculating, using mixed integers to represent variables, whether each thirty minute operating reserve energy bid satisfies the relationship;
0≦
ptmor(i,t)≦
min[ramp30(i), pmax(i,t)−
SS(i,t))]·
[1−
Y(i,t)],where ptmor(i,t) is a power of a thirty minute operating reserve for thirty minute operating reserve energy bid i at time step t, ramp30(i) a thirty minute ramp capability for thirty minute operating reserve energy bid i at time step t, pmax(i,t) is a maximum power capability for thirty minute operating reserve energy bid i at time step t, SS(i,t) is a self committed and scheduled capacity for thirty minute operating reserve energy bid i at time step t, Y(i,t) is a status binary variable for thirty minute operating reserve energy bid i at time step t;
optimizing the dispatch of energy and energy reserve responsive to thirty minute operating reserve energy bids that satisfy said relationship and considering said constraints of said at least one market participant using mixed integer linear programming techniques; and
pricing the dispatch of energy and energy reserve based on the results of said optimizing step.
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Abstract
The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.
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Citations
18 Claims
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1. A computer implemented system for optimal pricing of energy and energy reserve in an electricity market of at least one market participant wherein load prediction is performed considering load system requirements, said system comprising:
- a database; and
a processor configured for; determining constraints of said at least one market participant; receiving thirty minute operating reserve energy bids from said market participants;
calculating, using mixed integers to represent variables, whether each thirty minute operating reserve energy bid satisfies the relationship;
0≦
ptmor(i,t)≦
min[ramp30(i), pmax(i,t)−
SS(i,t))]·
[1−
Y(i,t)],where ptmor(i,t) is a power of a thirty minute operating reserve for thirty minute operating reserve energy bid i at time step t, ramp30(i) a thirty minute ramp capability for thirty minute operating reserve energy bid i at time step t, pmax(i,t) is a maximum power capability for thirty minute operating reserve energy bid i at time step t, SS(i,t) is a self committed and scheduled capacity for thirty minute operating reserve energy bid i at time step t, Y(i,t) is a status binary variable for thirty minute operating reserve energy bid i at time step t; optimizing the dispatch of energy and energy reserve responsive to thirty minute operating reserve energy bids that satisfy said relationship and considering said constraints of said at least one market participant using mixed integer linear programming techniques; and pricing the dispatch of energy and energy reserve based on the results of said optimizing step. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
- a database; and
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17. A method for optimal pricing of energy and energy reserve in an electricity market of at least one market participant, said system comprising:
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determining constraints of at least one market participant; receiving thirty minute operating reserve energy bids from said market participants; calculating, using mixed integers to represent variables, whether each thirty minute operating reserve energy bid satisfies the relationship;
0≦
ptmor(i,t)≦
min[ramp30(i), pmax(i,t)−
SS(i,t))]·
[1−
Y(i,t)],where ptmor(i,t) is a power of a thirty minute operating reserve for thirty minute operating reserve energy bid i at time step t, ramp30(i) a thirty minute ramp capability for thirty minute operating reserve energy bid i at time step t, pmax(i,t) is a maximum power capability for thirty minute operating reserve energy bid i at time step t, SS(i,t) is a self committed and scheduled capacity for thirty minute operating reserve energy bid i at time step t, Y(i,t) is a status binary variable for thirty minute operating reserve energy bid i at time step t; optimizing dispatch of energy and energy reserve responsive to thirty minute operating reserve energy bids that satisfy said relationship and considering said constraints of said at least one market participant using a mixed integer linear programming technique wherein linear bid curves corresponding to the energy reserve bids are modeled by a linear term and at least one associated linear equation; and pricing the dispatch of energy and energy reserve based on the results of said optimizing step.
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18. A computer readable medium containing program instructions therein, which, when executed by a computer, causing the computer to implement a method for optimal energy and energy reserve pricing in an electricity market of at least one market participant, said method comprising:
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determining constraints of at least one market participant; receiving thirty minute operating reserve energy bids from said market participants; calculating, using mixed integers to represent variables, whether each thirty minute operating reserve energy bid satisfies the relationship;
0≦
ptmor(i,t)≦
min[ramp30(i), pmax(i,t)−
SS(i,t))]·
[1−
Y(i,t)],where ptmor(i,t) is a power of a thirty minute operating reserve for thirty minute operating reserve energy bid i at time step t, ramp30(i) a thirty minute ramp capability for thirty minute operating reserve energy bid i at time step t, pmax(i,t) is a maximum power capability for thirty minute operating reserve energy bid i at time step t, SS(i,t) is a self committed and scheduled capacity for thirty minute operating reserve energy bid i at time step t, Y(i,t) is a status binary variable for thirty minute operating reserve energy bid i at time step t; optimizing dispatch of energy and energy reserve responsive to thirty minute operating reserve energy bids that satisfy said relationship and considering said constraints of said at least one market participant using a mixed integer linear programming technique wherein linear bid curves corresponding to the energy reserve bids are modeled by a linear term and at least one associated linear equation; and pricing the dispatch of energy and energy reserve based on the results of said optimizing step.
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Specification