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Time Based Development Planning of Distribution Networks
Time Based Development Planning of Distribution Networks
Knygos.lt klubas Knygos.lt nariams
52,42 €
-30%
Įprastai
74,89 €
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In the book, a time-based model for distribution network development planning is presented, considering the possibility of using distributed energy generation technologies and the existence of capacitor banks. The proposed model specifies the appropriate location, capacity, and time for the use of distributed generation technologies and capacitor banks, as well as the schedule for increasing the capacity of network lines. To solve the problem, a genetically enhanced algorithm is used to optimiz…

Time Based Development Planning of Distribution Networks (el. knyga) (skaityta knyga) | knygos.lt

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In the book, a time-based model for distribution network development planning is presented, considering the possibility of using distributed energy generation technologies and the existence of capacitor banks. The proposed model specifies the appropriate location, capacity, and time for the use of distributed generation technologies and capacitor banks, as well as the schedule for increasing the capacity of network lines. To solve the problem, a genetically enhanced algorithm is used to optimize the network development plan, including the time, place, and capacity of DG and capacitor banks in the distribution network, as well as to optimize investment costs and operating costs. Also, in order to validate and evaluate the efficiency of the proposed solution to solve the distribution network development planning problem on a 17-bus radial distribution network, it was implemented in the MATLAB programming environment in a computer system.

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In the book, a time-based model for distribution network development planning is presented, considering the possibility of using distributed energy generation technologies and the existence of capacitor banks. The proposed model specifies the appropriate location, capacity, and time for the use of distributed generation technologies and capacitor banks, as well as the schedule for increasing the capacity of network lines. To solve the problem, a genetically enhanced algorithm is used to optimize the network development plan, including the time, place, and capacity of DG and capacitor banks in the distribution network, as well as to optimize investment costs and operating costs. Also, in order to validate and evaluate the efficiency of the proposed solution to solve the distribution network development planning problem on a 17-bus radial distribution network, it was implemented in the MATLAB programming environment in a computer system.

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