A two-stage Microgrid cost optimization considering distribution network loss and voltage deviation
This paper proposes a novel two-stage Microgrid (MG) scheduling methodology to decide optimal location and size of MG and outputs of dispatchable and intermittent distributed generators (DGs). In the first stage, a system stability index (SSI) representing the performance of the distribution network...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-02-01
|
Series: | Energy Reports |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484719309394 |
_version_ | 1818542639395373056 |
---|---|
author | Jie Gao Jia-Jia Chen Ying Cai Shun-Qi Zeng Ke Peng |
author_facet | Jie Gao Jia-Jia Chen Ying Cai Shun-Qi Zeng Ke Peng |
author_sort | Jie Gao |
collection | DOAJ |
description | This paper proposes a novel two-stage Microgrid (MG) scheduling methodology to decide optimal location and size of MG and outputs of dispatchable and intermittent distributed generators (DGs). In the first stage, a system stability index (SSI) representing the performance of the distribution network is proposed to select the location of the MG. The size of the MG is derived by minimizing of SSI. In the second stage, the group search optimizer (GSO) algorithm is applied to further determine the outputs of each DG in the MG, including photovoltaic (PV) panels, wind turbines (WT), battery energy storage systems (BESS) and diesel generators (DIG). To validate the proposed approach, the IEEE 33-bus radial distribution systems has been applied. The simulation results show that the approach minimizes MG investment costs under the premise of considering loss and voltage deviation of the distribution network. Keywords: System stability index, Microgrid, Distributed generation, Group search optimizer |
first_indexed | 2024-12-11T22:24:45Z |
format | Article |
id | doaj.art-44b57bee24de425fa8d759fd83b1f65b |
institution | Directory Open Access Journal |
issn | 2352-4847 |
language | English |
last_indexed | 2024-12-11T22:24:45Z |
publishDate | 2020-02-01 |
publisher | Elsevier |
record_format | Article |
series | Energy Reports |
spelling | doaj.art-44b57bee24de425fa8d759fd83b1f65b2022-12-22T00:48:19ZengElsevierEnergy Reports2352-48472020-02-016263267A two-stage Microgrid cost optimization considering distribution network loss and voltage deviationJie Gao0Jia-Jia Chen1Ying Cai2Shun-Qi Zeng3Ke Peng4Shandong University of Technology, Zibo, 255000, ChinaShandong University of Technology, Zibo, 255000, China; Corresponding author.Gangzhou Power Supply Bureau Co. Ltd, Guangzhou, 510620, ChinaGangzhou Power Supply Bureau Co. Ltd, Guangzhou, 510620, ChinaShandong University of Technology, Zibo, 255000, ChinaThis paper proposes a novel two-stage Microgrid (MG) scheduling methodology to decide optimal location and size of MG and outputs of dispatchable and intermittent distributed generators (DGs). In the first stage, a system stability index (SSI) representing the performance of the distribution network is proposed to select the location of the MG. The size of the MG is derived by minimizing of SSI. In the second stage, the group search optimizer (GSO) algorithm is applied to further determine the outputs of each DG in the MG, including photovoltaic (PV) panels, wind turbines (WT), battery energy storage systems (BESS) and diesel generators (DIG). To validate the proposed approach, the IEEE 33-bus radial distribution systems has been applied. The simulation results show that the approach minimizes MG investment costs under the premise of considering loss and voltage deviation of the distribution network. Keywords: System stability index, Microgrid, Distributed generation, Group search optimizerhttp://www.sciencedirect.com/science/article/pii/S2352484719309394 |
spellingShingle | Jie Gao Jia-Jia Chen Ying Cai Shun-Qi Zeng Ke Peng A two-stage Microgrid cost optimization considering distribution network loss and voltage deviation Energy Reports |
title | A two-stage Microgrid cost optimization considering distribution network loss and voltage deviation |
title_full | A two-stage Microgrid cost optimization considering distribution network loss and voltage deviation |
title_fullStr | A two-stage Microgrid cost optimization considering distribution network loss and voltage deviation |
title_full_unstemmed | A two-stage Microgrid cost optimization considering distribution network loss and voltage deviation |
title_short | A two-stage Microgrid cost optimization considering distribution network loss and voltage deviation |
title_sort | two stage microgrid cost optimization considering distribution network loss and voltage deviation |
url | http://www.sciencedirect.com/science/article/pii/S2352484719309394 |
work_keys_str_mv | AT jiegao atwostagemicrogridcostoptimizationconsideringdistributionnetworklossandvoltagedeviation AT jiajiachen atwostagemicrogridcostoptimizationconsideringdistributionnetworklossandvoltagedeviation AT yingcai atwostagemicrogridcostoptimizationconsideringdistributionnetworklossandvoltagedeviation AT shunqizeng atwostagemicrogridcostoptimizationconsideringdistributionnetworklossandvoltagedeviation AT kepeng atwostagemicrogridcostoptimizationconsideringdistributionnetworklossandvoltagedeviation AT jiegao twostagemicrogridcostoptimizationconsideringdistributionnetworklossandvoltagedeviation AT jiajiachen twostagemicrogridcostoptimizationconsideringdistributionnetworklossandvoltagedeviation AT yingcai twostagemicrogridcostoptimizationconsideringdistributionnetworklossandvoltagedeviation AT shunqizeng twostagemicrogridcostoptimizationconsideringdistributionnetworklossandvoltagedeviation AT kepeng twostagemicrogridcostoptimizationconsideringdistributionnetworklossandvoltagedeviation |