Abstract
Energy storage systems (ESSs) mitigate the problems introduced by variable generation (VG) and offer the ability to optimize the operation of power systems with VG. The cost of ESS dictates prudent planning and installation of ESS to achieve specific objectives. This paper presents a mixed integer linear programing (MILP) model for ESS sizing. The model determines the optimal power and energy sizing of ESS taking into account forced outage rates (FORs) of all generating units including VG units (wind turbine systems (WTSs) and solar cell generators (SCGs)) and operational practices of dispatchable units, mainly economic dispatch. For specific sizes of ESS, we evaluate the reliability and projected costs in a probabilistic manner. For demonstration of the method, the ESS sizing and reliability assessment is applied to a power system with 10 conventional generators (CGs) and different numbers of SCGs and WTSs, depending on VG penetration level.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE Milan PowerTech, PowerTech 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538647226 |
| DOIs | |
| State | Published - Jun 2019 |
| Externally published | Yes |
Publication series
| Name | 2019 IEEE Milan PowerTech, PowerTech 2019 |
|---|
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Energy storage systems expected unserved energy
- Loss of load probability
- Mixed integer linear programming
- Probabilistic production costing
ASJC Scopus subject areas
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Safety, Risk, Reliability and Quality
