Next Article in Journal
Hybrid Approach for Detecting and Classifying Power Quality Disturbances Based on the Variational Mode Decomposition and Deep Stochastic Configuration Network
Previous Article in Journal
Study on Dehumidification Performance of a Multi-Stage Internal Cooling Solid Desiccant Adsorption Packed Bed
Article Menu
Issue 11 (November) cover image

Article Versions

Export Article

Open AccessArticle
Energies 2018, 11(11), 3039; https://doi.org/10.3390/en11113039

Dynamic Programming for Optimal Energy Management of Hybrid Wind–PV–Diesel–Battery

1
Department of Power Systems, Faculty of Electrical Engineering, Danang University of Science and Technology—The University of Danang , Danang City 550000, Vietnam
2
lternative Energies and Atomic Energy Commission (CEA), National Institute for Solar Energy (INES), 50 Avenue du Lac Léman, F-73375 Le Bourget-du-Lac, France
*
Author to whom correspondence should be addressed.
Received: 14 October 2018 / Revised: 28 October 2018 / Accepted: 30 October 2018 / Published: 5 November 2018
PDF [510 KB, uploaded 5 November 2018]

Abstract

With the dramatic development of renewable energy resources all over the world, Vietnam has started to apply them along with the conventional resources to produce the electrical power in recent years. Visually, the aim of this action is to improve the economic as well as the environmental benefits. Therefore, a vast of hybrid systems that combine Wind turbine, Photovoltaic (PV), Diesel generator and battery have been considered with different configurations. According to this topic, there are lots of research trends in the literature. However, we aim to the optimal energy management of this hybrid system. In particular, in this paper, we propose an optimization method to deal with it. The interesting point of the proposed method is the usage of the information of sources, loads, and electricity market as an embedded forecast step to enhance the effectiveness of the actual operation via minimizing the operation cost by scheduling distributed energy resources (DER) while regarding emission reduction in the hybrid system is considered as the objective function. In this optimization problem, the constraints are determined by two terms, namely: the balance of power between the supply and the load demand, and also the limitations of each DER. Thus, to solve this problem, we make use of the dynamic programming (DP) to transform a system into a multi-stage decision procedure with respect to the state of charge (SOC), resulting in the minimum system cost (CS). In order to highlight the pros of the proposed method, we implement the comparison to a rule-based method in the same context. The simulation results are examined in order to evaluate the effectiveness of the developed methodology, which is a so-called global optimization.
Keywords: dynamic programming; photovoltaic; wind; diesel; energy management dynamic programming; photovoltaic; wind; diesel; energy management
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

An, L.N.; Tuan, T.Q. Dynamic Programming for Optimal Energy Management of Hybrid Wind–PV–Diesel–Battery. Energies 2018, 11, 3039.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top