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

Yu Hu, Juan Miguel Morales González, Salvador Pineda, María Jesús Sánchez, Pablo Solana

Research output: Contribution to journalJournal articleResearchpeer-review

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.
Original languageEnglish
JournalEnergy Conversion and Management
Volume103
Pages (from-to)605-615
ISSN0196-8904
DOIs
Publication statusPublished - 2015

Keywords

  • Hybrid wind–diesel system
  • Markov decision process
  • Dynamic programming
  • Multi-stage decision making

Cite this

Hu, Y., Morales González, J. M., Pineda, 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
Hu, Yu ; Morales González, Juan Miguel ; Pineda, Salvador ; Sánchez, María Jesús ; Solana, Pablo . / Dynamic multi-stage dispatch of isolated wind–diesel power systems. In: Energy Conversion and Management. 2015 ; Vol. 103. pp. 605-615.
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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 = "Hybrid wind–diesel system, Markov decision process, Dynamic programming, Multi-stage decision making",
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Hu, Y, Morales González, JM, Pineda, S, Sánchez, MJ & Solana, P 2015, 'Dynamic multi-stage dispatch of isolated wind–diesel power systems', Energy Conversion and Management, vol. 103, pp. 605-615. https://doi.org/10.1016/j.enconman.2015.06.070

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

In: Energy Conversion and Management, Vol. 103, 2015, p. 605-615.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

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

AU - Hu, Yu

AU - Morales González, Juan Miguel

AU - Pineda, Salvador

AU - Sánchez, María Jesús

AU - Solana, Pablo

PY - 2015

Y1 - 2015

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 - Hybrid wind–diesel system

KW - Markov decision process

KW - Dynamic programming

KW - Multi-stage decision making

U2 - 10.1016/j.enconman.2015.06.070

DO - 10.1016/j.enconman.2015.06.070

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JO - Energy Conversion and Management

JF - Energy Conversion and Management

SN - 0196-8904

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