Title :
A nodal capacity market for co-optimization of generation and transmission expansion
Author :
Rudkevich, Aleksandr M.
Author_Institution :
Newton Energy Group LLC, Newton, MA, USA
Abstract :
The paper provides a formulation of the generation and transmission expansion problem which incorporates resource adequacy assessment into the stochastic optimization framework. The system expansion problem is considered as an auction resolved through a stochastic mixed integer linear problem in which generation and transmission expansion offers are explicitly identified on the electrical grid modeled using linearized DC SCOPF. In this formulation, locational resource adequacy indicators are derived as dual variables: shadow prices for reliability limiting transmission facilities and Locational Reliability Prices. The paper demonstrates that the auction can identify an optimal mix of generation and transmission expansion offers which guarantees resource adequacy of the system at least costs. Moreover, the problem of transmission cost allocation is resolved through the market pricing mechanism. The paper extends the results of [1] by incorporating transmission expansion options. A novel technique of modeling flexible transmission topology using flow-cancelling transactions [2] is applied.
Keywords :
integer programming; linear programming; power generation economics; power generation reliability; power grids; power markets; power transmission economics; power transmission reliability; stochastic programming; electrical grid; flexible transmission topology modelling; flow-cancelling transactions; generation expansion cooptimization; linearized DC SCOPF; locational reliability prices; locational resource adequacy indicators; market pricing mechanism; nodal capacity market; reliability limiting transmission facility; resource adequacy assessment; shadow prices; stochastic mixed integer linear problem; stochastic optimization framework; transmission cost allocation problem; transmission expansion cooptimization; Availability; Biological system modeling; Planning; Stochastic processes; Topology; Vectors; expansion planning; loss of load; power systems; resource adequacy; stochastic mixed integer programming; topology control; transmission constraints;
Conference_Titel :
Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4673-4537-8
DOI :
10.1109/Allerton.2012.6483338