Generation Scheduling of Active Distribution Network with Renewable Energy Resources Considering Demand Response Management
The scheduling of electricity distribution networks has changed dramatically by integrating renewable energy sources (RES) as well as energy storage systems (ESS). The sizing and placement of these resources have significant technical and economic impacts on the network. Whereas the utilization of t...
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| Format: | Article |
| Language: | English |
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University of Mohaghegh Ardabili
2021-08-01
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| Series: | Journal of Operation and Automation in Power Engineering |
| Subjects: | |
| Online Access: | http://joape.uma.ac.ir/article_1039_f3397186d5bcd5b08f111a0b5177a3e0.pdf |
| _version_ | 1819051043650011136 |
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| author | A. Afraz B. Rezaeealam S.J. SeyedShenava M. Doostizadeh |
| author_facet | A. Afraz B. Rezaeealam S.J. SeyedShenava M. Doostizadeh |
| author_sort | A. Afraz |
| collection | DOAJ |
| description | The scheduling of electricity distribution networks has changed dramatically by integrating renewable energy sources (RES) as well as energy storage systems (ESS). The sizing and placement of these resources have significant technical and economic impacts on the network. Whereas the utilization of these resources in the active distribution network (ADN) has several advantages, accordingly, the undesirable effects of these resources on ADN need to be analyzed and recovered. In this paper, a hybrid ADN, including wind, PV, and ESS, is investigated in 33 buses IEEE standard system. First of all, optimal energy management and sizing of the RES and ESS are the purposes. Secondly, as demand response (DR) is another substantial option in ADNs for regulating production and demand, an incentive-based DR program is applied for peak shaving. Forasmuch as this method has uncertainty, due to its dependence on customer consumption patterns, the use of inappropriate incentives will not be able to stimulate customers to reduce their consumption at peak times. Accordingly, the climatic condition uncertainty, which is another factor of variability on the production side, is minimized in this paper by relying on the Monte Carlo estimation method. Besides, the optimization problem, which is formulated as optimal programming, is solved to calculate the optimal size and place of each RESs and ESS conditions regarding power loss, voltage profile, and cost optimization. Furthermore, a geometric, energy source and network capacity, and cost constraints, are considered. The results confirm the effectiveness of proposed energy management and cost reduction in the studied test system. |
| first_indexed | 2024-12-21T11:57:40Z |
| format | Article |
| id | doaj.art-a768f6fd3de64bb29d26923f13012e54 |
| institution | Directory Open Access Journal |
| issn | 2322-4576 |
| language | English |
| last_indexed | 2024-12-21T11:57:40Z |
| publishDate | 2021-08-01 |
| publisher | University of Mohaghegh Ardabili |
| record_format | Article |
| series | Journal of Operation and Automation in Power Engineering |
| spelling | doaj.art-a768f6fd3de64bb29d26923f13012e542022-12-21T19:04:54ZengUniversity of Mohaghegh ArdabiliJournal of Operation and Automation in Power Engineering2322-45762021-08-019213214310.22098/joape.2021.6706.15011039Generation Scheduling of Active Distribution Network with Renewable Energy Resources Considering Demand Response Management A. Afraz0B. Rezaeealam1S.J. SeyedShenava2M. Doostizadeh3Department of Electrical Engineering, Lorestan University, Khorramabad, IranDepartment of Electrical Engineering, Lorestan University, Khorramabad, IranDepartment of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil, IranDepartment of Electrical Engineering, Lorestan University, Khorramabad, IranThe scheduling of electricity distribution networks has changed dramatically by integrating renewable energy sources (RES) as well as energy storage systems (ESS). The sizing and placement of these resources have significant technical and economic impacts on the network. Whereas the utilization of these resources in the active distribution network (ADN) has several advantages, accordingly, the undesirable effects of these resources on ADN need to be analyzed and recovered. In this paper, a hybrid ADN, including wind, PV, and ESS, is investigated in 33 buses IEEE standard system. First of all, optimal energy management and sizing of the RES and ESS are the purposes. Secondly, as demand response (DR) is another substantial option in ADNs for regulating production and demand, an incentive-based DR program is applied for peak shaving. Forasmuch as this method has uncertainty, due to its dependence on customer consumption patterns, the use of inappropriate incentives will not be able to stimulate customers to reduce their consumption at peak times. Accordingly, the climatic condition uncertainty, which is another factor of variability on the production side, is minimized in this paper by relying on the Monte Carlo estimation method. Besides, the optimization problem, which is formulated as optimal programming, is solved to calculate the optimal size and place of each RESs and ESS conditions regarding power loss, voltage profile, and cost optimization. Furthermore, a geometric, energy source and network capacity, and cost constraints, are considered. The results confirm the effectiveness of proposed energy management and cost reduction in the studied test system.http://joape.uma.ac.ir/article_1039_f3397186d5bcd5b08f111a0b5177a3e0.pdfactive distribution networkdemand responseenergy storage systemrenewable energy resourcedemand management |
| spellingShingle | A. Afraz B. Rezaeealam S.J. SeyedShenava M. Doostizadeh Generation Scheduling of Active Distribution Network with Renewable Energy Resources Considering Demand Response Management Journal of Operation and Automation in Power Engineering active distribution network demand response energy storage system renewable energy resource demand management |
| title | Generation Scheduling of Active Distribution Network with Renewable Energy Resources Considering Demand Response Management |
| title_full | Generation Scheduling of Active Distribution Network with Renewable Energy Resources Considering Demand Response Management |
| title_fullStr | Generation Scheduling of Active Distribution Network with Renewable Energy Resources Considering Demand Response Management |
| title_full_unstemmed | Generation Scheduling of Active Distribution Network with Renewable Energy Resources Considering Demand Response Management |
| title_short | Generation Scheduling of Active Distribution Network with Renewable Energy Resources Considering Demand Response Management |
| title_sort | generation scheduling of active distribution network with renewable energy resources considering demand response management |
| topic | active distribution network demand response energy storage system renewable energy resource demand management |
| url | http://joape.uma.ac.ir/article_1039_f3397186d5bcd5b08f111a0b5177a3e0.pdf |
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