Title :
European Electricity Market Integration With Mixed Market Designs—Part I: Formulation
Author :
Biskas, Pandelis N. ; Chatzigiannis, Dimitris I. ; Bakirtzis, Anastasios G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
Abstract :
The integration of the day-ahead electricity markets in Europe shall lead to one multi-area market that will substitute the local/national ones. In view of the “target model” that will be enforced in all European markets in conjunction with their forthcoming coupling/integration, a centralized market splitting algorithm is implemented in this paper, respecting the standard market regulatory framework of power exchanges (PXs) and power pools, including 1) block offers/bids, linked block offers/bids, flexible hourly offers/bids and convertible block offers in power exchanges and 2) unit technical/commitment constraints and system operating constraints in power pools. The problem is formulated as a mixed integer linear programming (MILP) model, which can be solved using commercial MILP solvers. The performance and computational requirements of an implementation in pan-European level is presented in the companion paper; the model is tested in terms of problem solvability to its limits, considering a day-ahead market clearing time threshold equal to one hour.
Keywords :
integer programming; linear programming; power generation dispatch; power generation scheduling; power markets; European electricity market integration; MILP model; centralized market splitting algorithm; commercial MILP solvers; computational requirement; convertible block; day-ahead electricity markets; day-ahead market clearing time threshold; flexible hourly offer-bid; linked block offer-bid; mixed integer linear programming model; mixed market designs; multiarea market; pan-European level; power exchanges; power pools; standard market regulatory framework; system operating constraints; target model; unit technical-commitment constraints; Internal electricity market; market splitting; mixed integer linear programming; power exchange; power pool;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2013.2245923