Integrated resource expansion planning of wind integrated power systems considering demand response programmes

• Published in: IET renewable power generation Vol. 13; no. 4; pp. 519 - 529
• Main Authors: Hamidpour, Hamidreza, Aghaei, Jamshid, Dehghan, Shahab, Pirouzi, Sasan, Niknam, Taher
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 18.03.2019
• Subjects: AC power flow equations; concave programming; CPLEX solver; demand response program aggregators; demand response programmes; demand side management; DRP aggregator; energy cost; GAMS optimisation package; GENCO; IEEE 30‐bus test systems; IEEE 6‐bus test systems; integer programming; integrated resource expansion planning; IREP; Karush‐Kuhn‐Tucker conditions; KKT conditions; linear programming; load flow; MILP model; mixed‐integer linear programming; power generation economics; power generation planning; power markets; power system network limitations; power transmission economics; power transmission lines; power transmission planning; Research Article; TRANSCO; transmission company; transmission lines; wind generation company; wind generation units; wind integrated power systems; wind power plants; WINDCO; power transmission lines; power generation planning; integer programming; demand response program aggregators; TRANSCO; linear programming; power system network limitations; power transmission economics; DRP aggregator; power generation economics; demand response programmes; wind generation company; AC power flow equations; GENCO; power markets; power transmission planning; MILP model; wind power plants; concave programming; Karush-Kuhn-Tucker conditions; wind integrated power systems; KKT conditions; transmission company; IEEE 30-bus test systems; WINDCO; wind generation units; transmission lines; CPLEX solver; integrated resource expansion planning; IREP; mixed-integer linear programming; energy cost; IEEE 6-bus test systems; demand side management; load flow; GAMS optimisation package
• DOI: 10.1049/iet-rpg.2018.5835
• ISSN: 1752-1416; 1752-1424

Here, an optimisation framework is proposed for integrated resource expansion planning (IREP) including conventional generation units, wind generation units, and transmission lines while taking into account the role of demand response program (DRP) aggregators. This problem is a bi-level optimisation problem. In the upper-level problem, the objective function is to maximise the profit for each resource, that is, the generation company (GENCO), wind generation company (WINDCO), and transmission company (TRANSCO) as well as the DRP aggregator. Also, the lower-level problem considers a market model with the participation of private GENCOs, WINDCOs, TRANSCOs, and DRP aggregators. The lower-level problem minimises energy cost subject to AC power flow (PF) equations, power network limitations, pollution constraint, GENCO, WINDCO, TRANSCO constraints, and technical limitations of DRPs. Here, the lower-level problem is non-linear and non-convex. Accordingly, to facilitate the solution of the proposed bi-level optimisation problem, a linear model is proposed. Then, the proposed bilevel optimisation problem is converted into an integrated single-level one using the Karush-Kuhn-Tucker (KKT) conditions. Eventually, a mixed-integer linear programming (MILP) model is proposed. The proposed method is applied to the IEEE 6-bus and the IEEE 30-bus test systems, and finally, the capabilities of the proposed scheme are evaluated.