Volume 100, January 2017, Pages 53–64
Special Issue: Control and Optimization of Renewable Energy Systems
Edited By Nael H. El-Farra and Panagiotis D. Christofides
A framework for operational optimization of grid-connected processes is developed.
The framework combines day-ahead scheduling, contract following and DR management.
A simulation study of a grid-connected chlor-alkali plant with HRES is presented.
The proposed methodology reduces uncertainties and helps maintain grid reliability.
This paper presents a methodology for the application of real-time optimization techniques to the problem of optimally scheduling and managing the interaction between electricity providers and users so that the grid and loads can come to an agreement to achieve optimal economic performance. The energy flows in typical industrial processes (e.g., chlor-alkali production) are simulated to illustrate day-ahead scheduling and contract following behaviors, as well as real-time demand response management. A communication and incentive scheme is first proposed for the complete energy scheduling process. Energy management strategies are then developed to realize the objectives of meeting production requirements while minimizing the overall operating and environmental costs through producing, purchasing and selling electricity. The energy contract following and demand response policies are also integrated into the proposed methodology, which appear to reduce uncertainties and help maintain the reliability of the grid.
- Demand response;
- Renewable energy;
- Industrial process;
- Operational optimization
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