Multi-objective optimal probabilistic planning in distribution systems considering load growth
Distribution network planning is critical to meet load growth and ensure the reliability of the network. the load demands of electrical distribution networks is increased gradually over time, which raises active and reactive power losses and lowers bus voltages below allowable levels. The modern pow...
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Assiut University, Faculty of Engineering
2025-01-01
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| Series: | JES: Journal of Engineering Sciences |
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| Online Access: | https://jesaun.journals.ekb.eg/article_395158_c33563badfbda2d792ceedca80ba49c2.pdf |
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| author | Ayat Saleh |
| author_facet | Ayat Saleh |
| author_sort | Ayat Saleh |
| collection | DOAJ |
| description | Distribution network planning is critical to meet load growth and ensure the reliability of the network. the load demands of electrical distribution networks is increased gradually over time, which raises active and reactive power losses and lowers bus voltages below allowable levels. The modern power system has experienced significant structural modifications as a result of the annual expansion in load. This paper presents the operation of distribution networks with dispatch able mix of different types of distributed energy resources (DERs) units considering load growth up to planning period based on Multi Variant Differential Evolution algorithm (MVDE). The electric power system is supplied by numerous capacity resources including renewable and non-renewable power resources like photovoltaic system (PV), wind turbine system (WT), fuel cell (FC), and micro-turbine (MT). The main objectives of DERs allocation are to maximize technical, economic and environmental benefits by reducing the power losses, annual cost, and greenhouse gas. The WT, PV, MT, and FC units' capacity is increased by capacity expansion planning in the radial distributed network, which is carried out over a five-year planning horizon. A comprehensive stochastic strategy is offered for a number of uncertainties, such as load increase and output power from renewable energy sources. Two IEEE bus networks are used to illustrate the suggested method's efficacy. The optimization results based on proposed algorithm are compared with some existing algorithms. |
| format | Article |
| id | doaj-art-96950ca3e2604e26982156db6a843b3c |
| institution | DOAJ |
| issn | 1687-0530 2356-8550 |
| language | Arabic |
| publishDate | 2025-01-01 |
| publisher | Assiut University, Faculty of Engineering |
| record_format | Article |
| series | JES: Journal of Engineering Sciences |
| spelling | doaj-art-96950ca3e2604e26982156db6a843b3c2025-08-20T02:43:54ZaraAssiut University, Faculty of EngineeringJES: Journal of Engineering Sciences1687-05302356-85502025-01-01531388110.21608/jesaun.2024.329451.1377395158Multi-objective optimal probabilistic planning in distribution systems considering load growthAyat Saleh0Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan 81528, EgyptDistribution network planning is critical to meet load growth and ensure the reliability of the network. the load demands of electrical distribution networks is increased gradually over time, which raises active and reactive power losses and lowers bus voltages below allowable levels. The modern power system has experienced significant structural modifications as a result of the annual expansion in load. This paper presents the operation of distribution networks with dispatch able mix of different types of distributed energy resources (DERs) units considering load growth up to planning period based on Multi Variant Differential Evolution algorithm (MVDE). The electric power system is supplied by numerous capacity resources including renewable and non-renewable power resources like photovoltaic system (PV), wind turbine system (WT), fuel cell (FC), and micro-turbine (MT). The main objectives of DERs allocation are to maximize technical, economic and environmental benefits by reducing the power losses, annual cost, and greenhouse gas. The WT, PV, MT, and FC units' capacity is increased by capacity expansion planning in the radial distributed network, which is carried out over a five-year planning horizon. A comprehensive stochastic strategy is offered for a number of uncertainties, such as load increase and output power from renewable energy sources. Two IEEE bus networks are used to illustrate the suggested method's efficacy. The optimization results based on proposed algorithm are compared with some existing algorithms.https://jesaun.journals.ekb.eg/article_395158_c33563badfbda2d792ceedca80ba49c2.pdfrenewableenergysourceuncertainty |
| spellingShingle | Ayat Saleh Multi-objective optimal probabilistic planning in distribution systems considering load growth JES: Journal of Engineering Sciences renewable energy source uncertainty |
| title | Multi-objective optimal probabilistic planning in distribution systems considering load growth |
| title_full | Multi-objective optimal probabilistic planning in distribution systems considering load growth |
| title_fullStr | Multi-objective optimal probabilistic planning in distribution systems considering load growth |
| title_full_unstemmed | Multi-objective optimal probabilistic planning in distribution systems considering load growth |
| title_short | Multi-objective optimal probabilistic planning in distribution systems considering load growth |
| title_sort | multi objective optimal probabilistic planning in distribution systems considering load growth |
| topic | renewable energy source uncertainty |
| url | https://jesaun.journals.ekb.eg/article_395158_c33563badfbda2d792ceedca80ba49c2.pdf |
| work_keys_str_mv | AT ayatsaleh multiobjectiveoptimalprobabilisticplanningindistributionsystemsconsideringloadgrowth |