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Evaluating the Operational Flexibility of Generation Mixture With an Innovative Techno-Economic Measure
- Source :
- IEEE Transactions on Power Systems. 33:2205-2218
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- This paper aims at providing a novel techno-economic flexibility index to quantify the relative flexibility of different conventional generation technologies. The proposed measure takes into account a comprehensive set of technical flexibility characteristics of generation units including minimum stable generation level, operating range, minimum up/down times, and ramp up/down capability. The impact of various technical parameters on the flexibility restriction is determined based on the additional costs imposed to the system operator in order to satisfy that constraint. Afterward, the calculated flexibility index is incorporated into day-ahead market clearing procedure as a new objective function beside operation cost using a multiobjective decision-making approach. Simulation results show that the need of different flexibility levels changes the optimal generation dispatch and results in different operation costs. Furthermore, the impact of two emerging flexible options, i.e., bulk energy storages and a typical demand response program in the flexibility contribution of other generation technologies is also investigated. The results reveal that the integration of emerging flexible options frequently changes the flexibility share of conventional units and can provide the required flexibility level at a lower cost.
- Subjects :
- Engineering
020209 energy
Energy Engineering and Power Technology
Flexibility Index
02 engineering and technology
Day-ahead market
Power systems
Demand response
Electric power system
Load management
technical constraint
Power system simulation
wind energy
Wind farms
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
flexibility measure
Generators
Indexes
Measurement
unit commitment
Wind forecasting
Flexibility (engineering)
Wind power
business.industry
Market clearing
Reliability engineering
business
Subjects
Details
- ISSN :
- 15580679 and 08858950
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Power Systems
- Accession number :
- edsair.doi.dedup.....722124a25060352444f16aad20326892