Abstract
Due to increasing demand for electrical power over the world, the integration of non-conventional power sources, such as wind generators, has become a necessity. This paper introduces a reliability-assessment method for an wind-storage system connected to local loads. Random outages are imposed to load chronological data to simulate grid failures using the Monte Carlo simulation method. A comparison among the grid-connected load, the hybrid system that contains the wind generator with and without energy storage, and the stand-alone wind power system is included. This comparison is in terms of load reliability indexes such as availability, average interruption duration, and average interruption frequency. A sensitivity analysis is performed on different cases to investigate the effect of a system's parameter.
| Original language | English |
|---|---|
| Title of host publication | 13th International Multi-Conference on Systems, Signals and Devices, SSD 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 709-713 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509012916 |
| DOIs | |
| State | Published - 18 May 2016 |
Publication series
| Name | 13th International Multi-Conference on Systems, Signals and Devices, SSD 2016 |
|---|
Bibliographical note
Publisher Copyright:© 2016 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Energy storage
- Monte Carlo simulation
- Reliability
- Wind energy
ASJC Scopus subject areas
- Signal Processing
- Control and Systems Engineering
- Energy Engineering and Power Technology
- Control and Optimization
- Computer Networks and Communications
- Instrumentation
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