Dynamic planning of distributed generation units in active distribution network
This study proposes long-term dynamic planning of distributed generation (DG) units in distribution networks considering active management (AM). In the AM operation mode, the distribution network equipment is controlled in real time based on the real-time measurements of system parameters (voltage a...
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| Vydáno v: | IET generation, transmission & distribution Ročník 9; číslo 12; s. 1455 - 1463 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
The Institution of Engineering and Technology
04.09.2015
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| ISSN: | 1751-8687, 1751-8695 |
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| Abstract | This study proposes long-term dynamic planning of distributed generation (DG) units in distribution networks considering active management (AM). In the AM operation mode, the distribution network equipment is controlled in real time based on the real-time measurements of system parameters (voltage and current). The proposed model determines the optimal size, location and time of investment of DG units. The uncertainty of energy price and rate of load growth is handled using a scenario-based modelling approach. To demonstrate the advantages of dynamic DG planning, its results are compared with those of static model. Also the results of optimal DG planning in active network are compared with those of the passive operation mode. In addition, a technical evaluation and comparison between conventional, passive and active networks have been performed. The proposed model is successfully applied to the 33-bus radial distribution network. The results indicate that using AM, the cost function and losses are decreased effectively compared to the passive management. Computation of the optimal DG planning in AM environment is formulated as a mixed integer non-linear problem which can be solved using commercial optimisation packages like as GAMS. |
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| AbstractList | This study proposes long-term dynamic planning of distributed generation (DG) units in distribution networks considering active management (AM). In the AM operation mode, the distribution network equipment is controlled in real time based on the real-time measurements of system parameters (voltage and current). The proposed model determines the optimal size, location and time of investment of DG units. The uncertainty of energy price and rate of load growth is handled using a scenario-based modelling approach. To demonstrate the advantages of dynamic DG planning, its results are compared with those of static model. Also the results of optimal DG planning in active network are compared with those of the passive operation mode. In addition, a technical evaluation and comparison between conventional, passive and active networks have been performed. The proposed model is successfully applied to the 33-bus radial distribution network. The results indicate that using AM, the cost function and losses are decreased effectively compared to the passive management. Computation of the optimal DG planning in AM environment is formulated as a mixed integer non-linear problem which can be solved using commercial optimisation packages like as GAMS. |
| Author | Zare, Kazem Abapour, Saeed Mohammadi-Ivatloo, Behnam |
| Author_xml | – sequence: 1 givenname: Saeed surname: Abapour fullname: Abapour, Saeed organization: Department of Electrical Power Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran – sequence: 2 givenname: Kazem surname: Zare fullname: Zare, Kazem email: kazem.zare@tabrizu.ac.ir organization: Department of Electrical Power Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran – sequence: 3 givenname: Behnam surname: Mohammadi-Ivatloo fullname: Mohammadi-Ivatloo, Behnam organization: Department of Electrical Power Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran |
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| Copyright | The Institution of Engineering and Technology 2015 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
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| Keywords | integer programming nonlinear programming real-time system parameter measurement power distribution planning dynamic distributed generation unit planning distribution network equipment control distributed power generation commercial optimisation packages current measurement cost function dynamic DG planning time-of-investment determination active distribution network GAMS mixed integer nonlinear problem investment power distribution economics location determination load management optimal size determination load growth rate 33- bus radial distribution network electric current measurement AM operation mode scenario-based modelling approach voltage measurement pricing energy price uncertainty |
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| SubjectTerms | 33‐ bus radial distribution network active distribution network AM operation mode commercial optimisation packages Cost function current measurement Distributed generation distributed power generation distribution network equipment control dynamic DG planning dynamic distributed generation unit planning Dynamical systems Dynamics electric current measurement energy price uncertainty GAMS integer programming investment load growth rate load management location determination Management mixed integer nonlinear problem Networks nonlinear programming optimal size determination Optimization power distribution economics power distribution planning pricing Real time real‐time system parameter measurement scenario‐based modelling approach time‐of‐investment determination voltage measurement |
| Title | Dynamic planning of distributed generation units in active distribution network |
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