Abstract
The integration of a large share of renewable generation poses growing challenges to the safe and reliable operation of modern energy systems. Utilizing large scale energy storage is an effective way to accommodate high penetration of renewable energy. Compared with other large-scale energy storage technologies, such as pumped storage hydropower and compressed air energy storage, pumped thermal energy storage (PTES) has significantly higher energy density and less space requirements. Furthermore, PTES is able to integrate multiple energy networks, e.g., electric and heating, which is an additional source of flexibility. In this paper, the use of a PTES to provide simultaneous peak shaving and voltage control in multi-energy systems (MES) is explored and an operation op-timization framework is developed. In the proposed framework, the operating characteristics of the PTES are linearized, and the dynamics of the PTES are handled by a model predictive control (MPC) scheme. The overall optimization problem is formulated as a mixed-integer nonlinear problem. The performance of the proposed optimization framework is verified through realistic case studies and the potential benefits of the PTES to support more sustainable grid operation is demonstrated.
Original language | English |
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Title of host publication | 2024 European Control Conference (ECC) |
Publisher | IEEE |
ISBN (Electronic) | 978-3-9071-4410-7 |
ISBN (Print) | 979-8-3315-4092-0 |
DOIs | |
Publication status | Published - 24 Jul 2024 |
Keywords
- Loading Control
- Thermal Energy
- Voltage Control
- Peak Voltage
- Thermal Storage
- Multi-energy Systems
- Simultaneous Voltage
- Optimization Problem
- Model Predictive Control
- Renewable Generation
- Large-scale Energy Storage
- Model Predictive Control Strategy
- Mixed-integer Nonlinear Problem
- Pumped Storage
- Heat Transfer
- Energy Demand
- Linear Equation
- Renewable Sources
- Operational Constraints
- Phase Change Materials
- Energy Balance Equation
- Power Grid
- Voltage Regulation
- Coefficient Of Performance
- Peak Load
- Power Demand
- Maximum Power Point Tracking
- Mixed-integer Nonlinear Programming