Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices
Since renewable energy resource is universally accepted as a promising method to solve the global energy problem, optimal planning and utilization of various distributed generators (DG) and energy storage (ES) devices deserve special concern. ES devices possess various characteristics in power densi...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-12-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3417/6/12/416 |
_version_ | 1819261015739596800 |
---|---|
author | Zifa Liu Yixiao Chen Ya Luo Guankun Zhao Xianlin Jin |
author_facet | Zifa Liu Yixiao Chen Ya Luo Guankun Zhao Xianlin Jin |
author_sort | Zifa Liu |
collection | DOAJ |
description | Since renewable energy resource is universally accepted as a promising method to solve the global energy problem, optimal planning and utilization of various distributed generators (DG) and energy storage (ES) devices deserve special concern. ES devices possess various characteristics in power density, energy density, response speed (switching speed) and lifetime. Besides, as different load types have various requirements on power supply reliability according to their importance, coordinated planning with consideration of reasonable matching between power source and load can efficiently improve power supply reliability and economic efficiency via a customized power supply and compensation strategy. This paper focuses on optimization of power source capacity in microgrid and a coordinated planning strategy is proposed with integrated consideration of characteristics of DG, ES and load. An index named additional compensation ratio (ACR) for balancing economic efficiency and reliability is proposed and considered in the strategy. The objective function which aims to minimize life cycle cost (LCC) is established considering economic efficiency, reliability and environmental conservation. The proposed planning strategy and optimizing model is calculated and verified through case study of an autonomy microgrid. |
first_indexed | 2024-12-23T19:35:05Z |
format | Article |
id | doaj.art-e8780e602cff4c9fadb14c547c72dfd2 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-12-23T19:35:05Z |
publishDate | 2016-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-e8780e602cff4c9fadb14c547c72dfd22022-12-21T17:33:49ZengMDPI AGApplied Sciences2076-34172016-12-0161241610.3390/app6120416app6120416Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage DevicesZifa Liu0Yixiao Chen1Ya Luo2Guankun Zhao3Xianlin Jin4School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaGuohua Energy Investment Co., Ltd., Beijing 100007, ChinaSince renewable energy resource is universally accepted as a promising method to solve the global energy problem, optimal planning and utilization of various distributed generators (DG) and energy storage (ES) devices deserve special concern. ES devices possess various characteristics in power density, energy density, response speed (switching speed) and lifetime. Besides, as different load types have various requirements on power supply reliability according to their importance, coordinated planning with consideration of reasonable matching between power source and load can efficiently improve power supply reliability and economic efficiency via a customized power supply and compensation strategy. This paper focuses on optimization of power source capacity in microgrid and a coordinated planning strategy is proposed with integrated consideration of characteristics of DG, ES and load. An index named additional compensation ratio (ACR) for balancing economic efficiency and reliability is proposed and considered in the strategy. The objective function which aims to minimize life cycle cost (LCC) is established considering economic efficiency, reliability and environmental conservation. The proposed planning strategy and optimizing model is calculated and verified through case study of an autonomy microgrid.http://www.mdpi.com/2076-3417/6/12/416microgriddistributed generationsuper capacitorbattery energy storage system (BESS) |
spellingShingle | Zifa Liu Yixiao Chen Ya Luo Guankun Zhao Xianlin Jin Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices Applied Sciences microgrid distributed generation super capacitor battery energy storage system (BESS) |
title | Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices |
title_full | Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices |
title_fullStr | Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices |
title_full_unstemmed | Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices |
title_short | Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices |
title_sort | optimized planning of power source capacity in microgrid considering combinations of energy storage devices |
topic | microgrid distributed generation super capacitor battery energy storage system (BESS) |
url | http://www.mdpi.com/2076-3417/6/12/416 |
work_keys_str_mv | AT zifaliu optimizedplanningofpowersourcecapacityinmicrogridconsideringcombinationsofenergystoragedevices AT yixiaochen optimizedplanningofpowersourcecapacityinmicrogridconsideringcombinationsofenergystoragedevices AT yaluo optimizedplanningofpowersourcecapacityinmicrogridconsideringcombinationsofenergystoragedevices AT guankunzhao optimizedplanningofpowersourcecapacityinmicrogridconsideringcombinationsofenergystoragedevices AT xianlinjin optimizedplanningofpowersourcecapacityinmicrogridconsideringcombinationsofenergystoragedevices |