Stochastic uncertainty management in electricity markets with high renewable energy penetration
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Shady M. Sadek
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Ahmed K. Ryad
Abstract
The high penetration of renewable energy sources (RESs) in modern power systems poses two conflicting issues. First one is the reduction in the operation costs resulted from RESs utilization instead of the expensive fossil fuel thermal generating units. However, the RESs are characterized by its uncertain and intermittent behavior that their output power is not dispatchable and not known exactly due to forecast errors. Therefore, reserves are scheduled in the day-ahead market to meet the uncertain supply from RESs which add some costs to the system. The decision maker should be aware of those two conflicting objectives in order to operate the system in the optimal way with minimum operation costs. The problem of the market clearing is formulated as Mixed Integer Linear Programming (MILP) problem using GAMS software. It is considered a two stage stochastic programming with the objective of minimizing the expected total operation energy and reserve costs while satisfying the various operational constraints. The results show the effectiveness of the RESs integration in different cases with the consideration of load shedding, RESs curtailment and transmission congestion. As shown from the results, when the network is congested, the operation costs are increased due to the load shedding and RESs curtailment events occur. Moreover, scheduled reserves are increased to face the uncertainty of RESs. As the RESs power penetration increases with no network congestion, a decreasing trend in the operation cost can be seen. However, this trend is less marked as the uncertainty of RESs generation increases. For the network congested case, the reduction rate of the operation cost is decreased for increasing RESs power penetration levels.
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Research ethics: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
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Articles in the same Issue
- Frontmatter
- Review
- California’s electric grid nexus with the environment
- Research Articles
- Adaptive centralized energy management algorithm for islanded bipolar DC microgrid
- Distributed new energy information acquisition model of distribution network based on Beidou communication
- A single phase modified Y-source inverter with high voltage gains and reduced switch stresses
- Technical assessment of power interface to utilize untapped power of decentralized solar pumps for positive impact in livelihoods
- An improved method for monitoring the junction temperature of 1200V / 50A IGBT modules used in power conversion systems
- Stochastic uncertainty management in electricity markets with high renewable energy penetration
- Power quality disturbances classification using autoencoder and radial basis function neural network
- Use of waste activated carbon and wood ash mixture as an electrical grounding enhancement material
- Double-layer optimal energy management of smart grid incorporating P2P energy trading with smart traction system
- Performance analysis of SRFT based D-STATCOM for power quality improvement in distribution system under different loading conditions
- Power quality improvement of utility-distribution system using reduced-switch DSTATCOM in grid-tied solar-PV system based on modified SRF strategy
