Flexibility-enhanced strategies of generations to improve the integration of renewable energy considering uncertainties

Power systems with a high proportion of renewable energy are confronted with immense challenges and a huge amount of renewable energy has been curtailed. To promote the integration of renewable energy, this paper focus on exploiting the generation flexibilities. For hydropower units, a high-resoluti...

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Main Authors: Wei Dai, Ceheng Luo, Jingshan Mo, Zining Liu, Zhongyao Jiang, Fangjun Wen, HuiHwang Goh
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723005656
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author Wei Dai
Ceheng Luo
Jingshan Mo
Zining Liu
Zhongyao Jiang
Fangjun Wen
HuiHwang Goh
author_facet Wei Dai
Ceheng Luo
Jingshan Mo
Zining Liu
Zhongyao Jiang
Fangjun Wen
HuiHwang Goh
author_sort Wei Dai
collection DOAJ
description Power systems with a high proportion of renewable energy are confronted with immense challenges and a huge amount of renewable energy has been curtailed. To promote the integration of renewable energy, this paper focus on exploiting the generation flexibilities. For hydropower units, a high-resolution dynamic regulation model of reservoir volume is proposed, in which the real-time situation of inflow is considered. The reservoir’s flexibility which is hindered by the static flood water limit level (FLWL) is exploited by this method. For thermal units, a deep peak regulation of thermal is constructed to enhance the system’s flexibility. Furthermore, considering the uncertainties of renewable energy, a chance-constrained reservoir flexible model influenced by random reservoir inflow and a chance-constrained spinning reserve and power flow model influenced by the wind uncertainty are developed. Based on those models and their coordination, an optimal dispatching model considering generation flexibilities and uncertainties is proposed. Simulation results on the IEEE 30-bus system show that the proposed model with multiple flexible resources can increase wind power penetration by 10% and save half of the cost compared with the conventional dispatching methods. These results demonstrated the efficiency of the proposed method whether the integration of renewable energy or the saving of operation costs.
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spelling doaj.art-960b13c8d1064580bba5d7d6eb61e2532023-09-06T04:52:09ZengElsevierEnergy Reports2352-48472023-09-01917171725Flexibility-enhanced strategies of generations to improve the integration of renewable energy considering uncertaintiesWei Dai0Ceheng Luo1Jingshan Mo2Zining Liu3Zhongyao Jiang4Fangjun Wen5HuiHwang Goh6College of Electrical Engineering, Guangxi University, Guangxi, 530004, China; Corresponding author.College of Electrical Engineering, Guangxi University, Guangxi, 530004, ChinaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, ChinaCollege of Electrical Engineering, Guangxi University, Guangxi, 530004, ChinaCollege of Electrical Engineering, Guangxi University, Guangxi, 530004, ChinaCollege of Electrical Engineering, Guangxi University, Guangxi, 530004, ChinaCollege of Electrical Engineering, Guangxi University, Guangxi, 530004, ChinaPower systems with a high proportion of renewable energy are confronted with immense challenges and a huge amount of renewable energy has been curtailed. To promote the integration of renewable energy, this paper focus on exploiting the generation flexibilities. For hydropower units, a high-resolution dynamic regulation model of reservoir volume is proposed, in which the real-time situation of inflow is considered. The reservoir’s flexibility which is hindered by the static flood water limit level (FLWL) is exploited by this method. For thermal units, a deep peak regulation of thermal is constructed to enhance the system’s flexibility. Furthermore, considering the uncertainties of renewable energy, a chance-constrained reservoir flexible model influenced by random reservoir inflow and a chance-constrained spinning reserve and power flow model influenced by the wind uncertainty are developed. Based on those models and their coordination, an optimal dispatching model considering generation flexibilities and uncertainties is proposed. Simulation results on the IEEE 30-bus system show that the proposed model with multiple flexible resources can increase wind power penetration by 10% and save half of the cost compared with the conventional dispatching methods. These results demonstrated the efficiency of the proposed method whether the integration of renewable energy or the saving of operation costs.http://www.sciencedirect.com/science/article/pii/S2352484723005656Renewable energy integrationOptimal dispatchChance constraintMultiple flexible resources
spellingShingle Wei Dai
Ceheng Luo
Jingshan Mo
Zining Liu
Zhongyao Jiang
Fangjun Wen
HuiHwang Goh
Flexibility-enhanced strategies of generations to improve the integration of renewable energy considering uncertainties
Energy Reports
Renewable energy integration
Optimal dispatch
Chance constraint
Multiple flexible resources
title Flexibility-enhanced strategies of generations to improve the integration of renewable energy considering uncertainties
title_full Flexibility-enhanced strategies of generations to improve the integration of renewable energy considering uncertainties
title_fullStr Flexibility-enhanced strategies of generations to improve the integration of renewable energy considering uncertainties
title_full_unstemmed Flexibility-enhanced strategies of generations to improve the integration of renewable energy considering uncertainties
title_short Flexibility-enhanced strategies of generations to improve the integration of renewable energy considering uncertainties
title_sort flexibility enhanced strategies of generations to improve the integration of renewable energy considering uncertainties
topic Renewable energy integration
Optimal dispatch
Chance constraint
Multiple flexible resources
url http://www.sciencedirect.com/science/article/pii/S2352484723005656
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