Dynamic multi-stage dispatch of isolated wind–diesel power systems

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Standard

Dynamic multi-stage dispatch of isolated wind–diesel power systems. / Hu, Yu; Morales, Juan M.; Pineda Morente, Salvador; Sánchez, María Jesús; Solana, Pablo.

I: Energy Conversion and Management, Bind 103, 10.2015, s. 605-615.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Hu, Y, Morales, JM, Pineda Morente, S, Sánchez, MJ & Solana, P 2015, 'Dynamic multi-stage dispatch of isolated wind–diesel power systems', Energy Conversion and Management, bind 103, s. 605-615. https://doi.org/10.1016/j.enconman.2015.06.070

APA

Hu, Y., Morales, J. M., Pineda Morente, S., Sánchez, M. J., & Solana, P. (2015). Dynamic multi-stage dispatch of isolated wind–diesel power systems. Energy Conversion and Management, 103, 605-615. https://doi.org/10.1016/j.enconman.2015.06.070

Vancouver

Hu Y, Morales JM, Pineda Morente S, Sánchez MJ, Solana P. Dynamic multi-stage dispatch of isolated wind–diesel power systems. Energy Conversion and Management. 2015 okt.;103:605-615. https://doi.org/10.1016/j.enconman.2015.06.070

Author

Hu, Yu ; Morales, Juan M. ; Pineda Morente, Salvador ; Sánchez, María Jesús ; Solana, Pablo. / Dynamic multi-stage dispatch of isolated wind–diesel power systems. I: Energy Conversion and Management. 2015 ; Bind 103. s. 605-615.

Bibtex

@article{925b90060d264b54b4e22a526aa22503,
title = "Dynamic multi-stage dispatch of isolated wind–diesel power systems",
abstract = "An optimal dispatch strategy is crucial for an isolated wind–diesel power system to save diesel fuel and maintain the system stability. The uncertainty associated with the stochastic character of the wind is, though, a challenging problem for this optimization. In this paper, a dynamic multi-stage decision-making model is proposed to determine the diesel power output that minimizes the cost of running and maintaining the wind–diesel power system. Optimized operational decisions for each time period are generated dynamically considering the path-dependent nature of the optimal dispatch policy, given the plausible future realizations of the wind power production. A numerical case study is analyzed and it is demonstrated that the proposed stochastic dynamic optimization model significantly outperforms the traditional deterministic dispatch strategies.",
keywords = "Dynamic programming, Hybrid wind–diesel system, Markov decision process, Multi-stage decision making",
author = "Yu Hu and Morales, {Juan M.} and {Pineda Morente}, Salvador and S{\'a}nchez, {Mar{\'i}a Jes{\'u}s} and Pablo Solana",
year = "2015",
month = oct,
doi = "10.1016/j.enconman.2015.06.070",
language = "English",
volume = "103",
pages = "605--615",
journal = "Energy Conversion and Management",
issn = "0196-8904",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Dynamic multi-stage dispatch of isolated wind–diesel power systems

AU - Hu, Yu

AU - Morales, Juan M.

AU - Pineda Morente, Salvador

AU - Sánchez, María Jesús

AU - Solana, Pablo

PY - 2015/10

Y1 - 2015/10

N2 - An optimal dispatch strategy is crucial for an isolated wind–diesel power system to save diesel fuel and maintain the system stability. The uncertainty associated with the stochastic character of the wind is, though, a challenging problem for this optimization. In this paper, a dynamic multi-stage decision-making model is proposed to determine the diesel power output that minimizes the cost of running and maintaining the wind–diesel power system. Optimized operational decisions for each time period are generated dynamically considering the path-dependent nature of the optimal dispatch policy, given the plausible future realizations of the wind power production. A numerical case study is analyzed and it is demonstrated that the proposed stochastic dynamic optimization model significantly outperforms the traditional deterministic dispatch strategies.

AB - An optimal dispatch strategy is crucial for an isolated wind–diesel power system to save diesel fuel and maintain the system stability. The uncertainty associated with the stochastic character of the wind is, though, a challenging problem for this optimization. In this paper, a dynamic multi-stage decision-making model is proposed to determine the diesel power output that minimizes the cost of running and maintaining the wind–diesel power system. Optimized operational decisions for each time period are generated dynamically considering the path-dependent nature of the optimal dispatch policy, given the plausible future realizations of the wind power production. A numerical case study is analyzed and it is demonstrated that the proposed stochastic dynamic optimization model significantly outperforms the traditional deterministic dispatch strategies.

KW - Dynamic programming

KW - Hybrid wind–diesel system

KW - Markov decision process

KW - Multi-stage decision making

UR - http://www.mendeley.com/research/dynamic-multistage-dispatch-isolated-winddiesel-power-systems

U2 - 10.1016/j.enconman.2015.06.070

DO - 10.1016/j.enconman.2015.06.070

M3 - Journal article

VL - 103

SP - 605

EP - 615

JO - Energy Conversion and Management

JF - Energy Conversion and Management

SN - 0196-8904

ER -

ID: 148513349