Real-Time Economic Dispatch by Accommodating Implications of Uncertain Renewable Energy Resources
Mukesh Kumar Shah1, Nikhil Gupta2, K. R. Niazi3, Anil Swarnkar4
1Mukesh Kumar Shah, Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur (Rajasthan), India.
2Nikhil Gupta, Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur (Rajasthan), India.
3K. R. Niazi, Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur (Rajasthan), India.
4Anil Swarnkar, Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur (Rajasthan), India.
Manuscript received on 15 October 2019 | Revised Manuscript received on 24 October 2019 | Manuscript Published on 02 November 2019 | PP: 2484-2488 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B12920982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1292.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The integration of considerable renewable energy resources in power grids has imposed high variability in the net load demand to be seen by conventional generating stations. The real-time economic dispatch (RTED) of modern power systems must consider minute-to-minute variability in the net load demand on the station during a scheduling interval of 5-15 min. The existing methods therefore may not explicitly handle economic implications of power system. This paper proposes a new method for RTED while fully addressing variability in power generation from renewable energy resources and load demand. The method suggests mean PFs for committed generators by conducting (off-line) economic dispatch for each subinterval of 1 min. Mean PFs are evaluated only once, that is just at the beginning of scheduling interval and will continued throughout the interval. This reduces complexity and dimensionality of the proposed method. The simulation results on a standard test bench validate economic competence of proposed approach over that conventional one.
Keywords: Real-Time Economic Dispatch, Mean Participation Factor, Scheduling Interval, Renewable Energy Resources.
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks