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

Yu Hu; Juan M. Morales; Salvador Pineda Morente; María Jesús Sánchez; Pablo Solana

doi:10.1016/j.enconman.2015.06.070

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

Yu Hu, Juan M. Morales, Salvador Pineda Morente, María Jesús Sánchez, Pablo Solana

Department of Mathematical Sciences

16 Citations (Scopus)

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 language	English
Journal	Energy Conversion and Management
Volume	103
Pages (from-to)	605-615
Number of pages	11
ISSN	0196-8904
DOIs	https://doi.org/10.1016/j.enconman.2015.06.070
Publication status	Published - 16 Jul 2015

Keywords

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

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10.1016/j.enconman.2015.06.070

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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",

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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 - 2015/7/16

Y1 - 2015/7/16

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

SN - 0196-8904

VL - 103

SP - 605

EP - 615

JO - Energy Conversion and Management

JF - Energy Conversion and Management

ER -

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

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Keywords

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