MPC Based Approach for Reliable Power System Energy Management with High Penetration Level of Renewable Energy Resources

Yan Zhang; Bo Guo; Tao Zhang

doi:10.4028/www.scientific.net/AMR.986-987.371

Paper Titles

Medium and Long Term Load Forecasting of Power System Based on Interval Taylor Model Arithmetic
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Method Based on Multi-Attribute Decision Making of Receiving-End Power Grid DC Location Selection
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Micro-Grid Fault Transient Characteristics and Relay Protection
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Modeling and Simulation of Grid-Connected Photovoltaic System Based on PSCAD
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MPC Based Approach for Reliable Power System Energy Management with High Penetration Level of Renewable Energy Resources
p.371

Optimal Capacitors Placement of Distribution Systems Using 2^nd Order Power Loss Sensitivity Analysis and Hierarchical Clustering
p.377

Optimal Configuration of Dynamic Reactive Power Compensation for Large Petrochemical Enterprise Grid
p.383

Optimal Energy Management for Smart Distribution Grid Based on Virtual Power Plant
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Optimization of Voltage and Reactive Power in Regional Power Network Based on MCR
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 986-987MPC Based Approach for Reliable Power System...

MPC Based Approach for Reliable Power System Energy Management with High Penetration Level of Renewable Energy Resources

Abstract:

This paper discusses using the battery energy storage system (BESS) to mitigate intermittency and sustain stability of distribution system integrating high penetration level of renewable energy resources (RER). The goal of the control is to have the BESS provide as much smoothing as possible, so that the RER power can be dispatchable in some kind and reliable. The effectiveness of model predictive control (MPC) based approach proposed in this paper have been tested by detail case study, also compared with the day ahead control strategy, load following strategy , and normal situation without energy storage which are usually used before. The result shows that the proposed MPC based approach is more practical, and more robust.

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Energy Research and Power Engineering 2014

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Periodical:

Advanced Materials Research (Volumes 986-987)

Pages:

371-376

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.986-987.371

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Online since:

July 2014

Authors:

Yan Zhang*, Bo Guo, Tao Zhang

Keywords:

Battery Energy Storage System (BESS), Model Predictive Control (MPC), Optimal Control, Renewable Energy Resources (RER)

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