Abstract
This paper presents a multi-objective unit commitment economic dispatch (UCED) model. The model considers minimizing two conflicting objective functions; the minimization of the generation cost and the minimization (shaving) of the composite demand (CD) peak. The model takes into account conventional generation (CG) operating constraints, variable generation (VG) forced outages and seasonal variation, demand and energy storage system operation constraints. The multi-objective function is solved considering multiple priorities of the two objective functions. Upon retrieving the optimal results from the optimization problems, the reliability indices are computed using the probabilistic production costing (PPC) method. The model is applied to a test system consisting of 10 CG units, wind farms (WFs), solar farms (SFs), and ESS. Example test cases are presented with different penetration levels and ESS size.
| Original language | English |
|---|---|
| Title of host publication | 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728128221 |
| DOIs | |
| State | Published - Aug 2020 |
| Externally published | Yes |
Publication series
| Name | 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings |
|---|
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- and variable generation
- composite demand
- energy storage system
- probabilistic production costing
- unit commitment economic dispatch
ASJC Scopus subject areas
- Computer Networks and Communications
- Statistics, Probability and Uncertainty
- Energy Engineering and Power Technology
- Safety, Risk, Reliability and Quality
- Statistics and Probability
