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RSS FeedsEnergies, Vol. 12, Pages 2317: Data-Driven Stochastic Scheduling for Energy Integrated Systems (Energies)


17 june 2019 22:00:09

Energies, Vol. 12, Pages 2317: Data-Driven Stochastic Scheduling for Energy Integrated Systems (Energies)

As the penetration of intermittent renewable energy increases and unexpected market behaviors continue to occur, new challenges arise for system operators to ensure cost effectiveness while maintaining system reliability under uncertainties. To systematically address these uncertainties and challenges, innovative advanced methods and approaches are needed. Motivated by these, in this paper, we consider an energy integrated system with renewable energy and pumped-storage units involved. In addition, we propose a data-driven risk-averse two-stage stochastic model that considers the features of forbidden zones and dynamic ramping rate limits. This model minimizes the total cost against the worst-case distribution in the confidence set built for an unknown distribution and constructed based on data. Our numerical experiments show how pumped-storage units contribute to the system, how inclusions of the aforementioned two features improve the reliability of the system, and how our proposed data-driven model converges to a risk-neutral model with historical data. Digg Facebook Google StumbleUpon Twitter
40 viewsCategory: Biophysics, Biotechnology, Physics
Energies, Vol. 12, Pages 2318: LCpL Filter Design and Control for Stability Improvement in a Stand-Alone Microgrid with Sub Inverter Structure (Energies)
Energies, Vol. 12, Pages 2316: Energy Consumption Analysis and Optimization of the Deep-Sea Self-Sustaining Profile Buoy (Energies)
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