Techno-economic Feasibility of PV-wind-diesel-battery Hybrid Energy System in a Remote Island in the South China Sea

Techno-economic Feasibility of PV-wind-diesel-battery Hybrid Energy System in a Remote Island in the South China Sea

Jiaxin Lu  Weijun Wang Yingchao Zhang  Sheng Ye 

Department of Electrical Engineering, Army Logistics University of PLA, Chongqing 401331, China

Department of Electrical Engineering, Chongqing Communication Institute, Chongqing 400035, China

Corresponding Author Email: 
wjwang636@126.com
Page: 
161-180
|
DOI: 
https://doi.org/10.18280/mmc_a.900204
Received: 
28 April 2017
|
Accepted: 
10 May 2017
|
Published: 
30 June 2017
| Citation

OPEN ACCESS

Abstract: 

This paper explores the techno-economic feasibility of renewable power generation in a remote South China Sea island, seeking to substitute the existing diesel generator with a PV-wind-diesel-battery hybrid energy system (HES). First, the authors assessed the availability of local renewable energy resources, elaborated the dispatch strategy of the HES, and introduced the load curve, system configuration, techno-economic specifications of the major components. Then, the Hybrid Optimization of Multiple Energy Resources (HOMER) software was employed to simulate and optimize the HES. In order to identify the optimal configuration of the system, different combinations of the HES were simulated before comparing the economic and operation information of the feasible alternatives. Through the simulation and optimization, it is concluded that the HES can provide sufficient and reliable power to the study area. Finally, the economic and resources sensitivity analysis was performed to identify how the optimal design is to change with the sensitivity variables.

Keywords: 

hybrid energy system, techno-economic feasibility, hybrid optimization of multiple energy resources (HOMER).

1. Introduction
2. Overview of Study Area
3. Assessment of Renewable Energy Resources
4. Description of the Proposed Hybrid Energy System
5. Techno-economic Assessment Criteria
6. Simulation and Optimization
7. Sensitivity Analysis
8. Conclusion
Acknowledgment

This work is financially supported by “The national science and technology support program (supported by Ministry of Science and Technology of P.R.C. No. 2014BAC01B05)”. The authors are grateful that comments and suggestions provided by anonymous reviewers and editor helped to improve the quality of the paper.

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