Journal
IFAC PAPERSONLINE
Volume 49, Issue 27, Pages 290-295Publisher
ELSEVIER
DOI: 10.1016/j.ifacol.2016.10.706
Keywords
Demand response resource(DRR); demand response resource cost function; security-constrained unit commitment (SCUC); virtual power plant (VPP); mixed-integer linear programming
Categories
Funding
- Human Resources program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning (KETEP)
- Ministry of Trade, Industry AMP
- Energy, Republic of Korea [20154030200610]
- Korea Ministry of Land, Infrastructure and Transport(MOLIT)
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This paper presents a new methodology to security-constrained unit commitment (SCUC) problem with demand response resource (DRR) which is regarded as virtual power plant (VPP). In this paper, based on DRR bids information submitted to Korea Power Exchange (KPX), price elasticity and peak load are calculated and DRR cost function is obtained. The scheduling includes generator characteristics, DRR and reliability constraints Cost functions for generator and DRR are modeled as a piecewise linear function and an Mixed Integer Linear Programming (MILP) based method is applied to solve the optimization problem. Proposed methodology is tested and validated on The IEEE RTS-24 system. Through numerical simulation, DRR has demonstrated the decrease in the total operation cost as well as the curtailment of peak load. (c) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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