Smart distribution network operation based on energy management system considering economic-technical goals of network operator
This paper expresses economic flexible–securable operation (EFSO) in smart distribution networks (SDNs), including distributed generation and storage systems to produce green energy. This is structured as an optimization formulation to obtain a minimum expected operation cost, constrained by optimal...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723003323 |
| _version_ | 1797781886652645376 |
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| author | Zhiyu Yan Zhiyuan Gao Ramin Borjali Navesi Morteza Jadidoleslam Afshin Pirouzi |
| author_facet | Zhiyu Yan Zhiyuan Gao Ramin Borjali Navesi Morteza Jadidoleslam Afshin Pirouzi |
| author_sort | Zhiyu Yan |
| collection | DOAJ |
| description | This paper expresses economic flexible–securable operation (EFSO) in smart distribution networks (SDNs), including distributed generation and storage systems to produce green energy. This is structured as an optimization formulation to obtain a minimum expected operation cost, constrained by optimal power flow, environmental, security, and flexibility limits. Also, mathematical expressions of power sources and storage are presented. The scheme considers uncertainties related to load, price of energy, and generation power of renewable sources. The work adopts the point estimation method (PEM)-based stochastic optimization to model the uncertainties. It also uses to evaluate the flexibility index accurately while requiring short computation time (among the objectives of power system operation). Then, the results demonstrate its capabilities in enhancing various aspects of the network, including economic, environmental, operational, security, and flexibility indicators. The design helps derive flexibility conditions of almost 100%. It improves the operating cost, energy loss, voltage deviation, amount of pollution emission, and voltage security index by approximately 23%, 29%, 47%, 51%, and 13% compared with power flow studies. |
| first_indexed | 2024-03-13T00:03:14Z |
| format | Article |
| id | doaj.art-dd505204acef441699cfaec7ac894ae8 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-13T00:03:14Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-dd505204acef441699cfaec7ac894ae82023-07-13T05:29:49ZengElsevierEnergy Reports2352-48472023-12-01944664477Smart distribution network operation based on energy management system considering economic-technical goals of network operatorZhiyu Yan0Zhiyuan Gao1Ramin Borjali Navesi2Morteza Jadidoleslam3Afshin Pirouzi4College of Electrical Engineering, Yellow River Conservancy Technical Institute, Kaifeng, 475004, Henan, ChinaSchool of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing 102617, China; Corresponding authors.Department of Electrical Engineering, Technical and Vocational University (TVU), Urmia, IranDepartment of Electrical Engineering, Sirjan University of Technology, Sirjan, IranDepartment of Engineering, Semirom Branch, Islamic Azad University, Semirom, Iran; Corresponding authors.This paper expresses economic flexible–securable operation (EFSO) in smart distribution networks (SDNs), including distributed generation and storage systems to produce green energy. This is structured as an optimization formulation to obtain a minimum expected operation cost, constrained by optimal power flow, environmental, security, and flexibility limits. Also, mathematical expressions of power sources and storage are presented. The scheme considers uncertainties related to load, price of energy, and generation power of renewable sources. The work adopts the point estimation method (PEM)-based stochastic optimization to model the uncertainties. It also uses to evaluate the flexibility index accurately while requiring short computation time (among the objectives of power system operation). Then, the results demonstrate its capabilities in enhancing various aspects of the network, including economic, environmental, operational, security, and flexibility indicators. The design helps derive flexibility conditions of almost 100%. It improves the operating cost, energy loss, voltage deviation, amount of pollution emission, and voltage security index by approximately 23%, 29%, 47%, 51%, and 13% compared with power flow studies.http://www.sciencedirect.com/science/article/pii/S2352484723003323Economic flexible–securable operationEnergy management systemFlexibility modelingGreen energySmart distribution network |
| spellingShingle | Zhiyu Yan Zhiyuan Gao Ramin Borjali Navesi Morteza Jadidoleslam Afshin Pirouzi Smart distribution network operation based on energy management system considering economic-technical goals of network operator Energy Reports Economic flexible–securable operation Energy management system Flexibility modeling Green energy Smart distribution network |
| title | Smart distribution network operation based on energy management system considering economic-technical goals of network operator |
| title_full | Smart distribution network operation based on energy management system considering economic-technical goals of network operator |
| title_fullStr | Smart distribution network operation based on energy management system considering economic-technical goals of network operator |
| title_full_unstemmed | Smart distribution network operation based on energy management system considering economic-technical goals of network operator |
| title_short | Smart distribution network operation based on energy management system considering economic-technical goals of network operator |
| title_sort | smart distribution network operation based on energy management system considering economic technical goals of network operator |
| topic | Economic flexible–securable operation Energy management system Flexibility modeling Green energy Smart distribution network |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723003323 |
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