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Optimal autonomous microgrid operation: A holistic view

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  • Detroja, Ketan P.

Abstract

The prospects of incorporating a consumer side load-scheduling algorithm that works in conjunction with the unit commitment problem, which in turn coordinates with real-time load balancer, are discussed in this paper. An integrated framework for an autonomous microgrid with objectives of increasing stability, reliability and economy is proposed. From the microgrid operators’ point of view, the load side scheduling helps reduce the stress on the system especially during peak hours thereby ensuring system stability and security. From the consumers’ point of view, the dynamic electricity prices within a day, which are a reflection of this time varying stress on the system, encourage them to endorse such a scheme and reduce their bills incurred. The unit commitment problem is run a day in advance to determine generator outputs for the following day. Owing to unpredictable weather conditions, running unit commitment problem in advance does not guarantee planned real-time generation in the microgrid scenario. Such variability in forecasted generation must be handled in any microgrid, while accounting for load demand uncertainties. To address this issue a load side energy management system and power balance scheme is proposed in this paper. The objective is to ascertain uninterrupted power to critical loads while managing other non-critical loads based on their priorities.

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  • Detroja, Ketan P., 2016. "Optimal autonomous microgrid operation: A holistic view," Applied Energy, Elsevier, vol. 173(C), pages 320-330.
    • Handle: RePEc:eee:appene:v:173:y:2016:i:c:p:320-330
    DOI: 10.1016/j.apenergy.2016.04.056
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    1. Mena, Rodrigo & Hennebel, Martin & Li, Yan-Fu & Zio, Enrico, 2014. "Self-adaptable hierarchical clustering analysis and differential evolution for optimal integration of renewable distributed generation," Applied Energy, Elsevier, vol. 133(C), pages 388-402.
    2. Ahmadigorji, Masoud & Amjady, Nima, 2015. "Optimal dynamic expansion planning of distribution systems considering non-renewable distributed generation using a new heuristic double-stage optimization solution approach," Applied Energy, Elsevier, vol. 156(C), pages 655-665.
    3. Faria, Pedro & Soares, Tiago & Vale, Zita & Morais, Hugo, 2014. "Distributed generation and demand response dispatch for a virtual power player energy and reserve provision," Renewable Energy, Elsevier, vol. 66(C), pages 686-695.
    4. Khan, Ahsan Raza & Mahmood, Anzar & Safdar, Awais & Khan, Zafar A. & Khan, Naveed Ahmed, 2016. "Load forecasting, dynamic pricing and DSM in smart grid: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1311-1322.
    5. Anaya, Karim L. & Pollitt, Michael G., 2015. "The role of distribution network operators in promoting cost-effective distributed generation: Lessons from the United States of America for Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 484-496.
    6. Hoff, Thomas E & Wenger, Howard J & Farmer, Brian K, 1996. "Distributed generation : An alternative to electric utility investments in system capacity," Energy Policy, Elsevier, vol. 24(2), pages 137-147, February.
    7. Purwanto, Widodo Wahyu & Pratama, Yoga Wienda & Nugroho, Yulianto Sulistyo & Warjito, & Hertono, Gatot Fatwanto & Hartono, Djoni & Deendarlianto, & Tezuka, Tetsuo, 2015. "Multi-objective optimization model for sustainable Indonesian electricity system: Analysis of economic, environment, and adequacy of energy sources," Renewable Energy, Elsevier, vol. 81(C), pages 308-318.
    8. Kyriakarakos, George & Dounis, Anastasios I. & Rozakis, Stelios & Arvanitis, Konstantinos G. & Papadakis, George, 2011. "Polygeneration microgrids: A viable solution in remote areas for supplying power, potable water and hydrogen as transportation fuel," Applied Energy, Elsevier, vol. 88(12), pages 4517-4526.
    9. Ai, Qian & Wang, Xiaohong & He, Xing, 2014. "The impact of large-scale distributed generation on power grid and microgrids," Renewable Energy, Elsevier, vol. 62(C), pages 417-423.
    10. Pruitt, Kristopher A. & Braun, Robert J. & Newman, Alexandra M., 2013. "Evaluating shortfalls in mixed-integer programming approaches for the optimal design and dispatch of distributed generation systems," Applied Energy, Elsevier, vol. 102(C), pages 386-398.
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