Long-term distribution network expansion planning by network reconfiguration and generation of construction plans

Asakura, T.; Genji, Takamu; Yura, T.; Hayashi, Naoki; Fukuyama, Yoshikazu

doi:10.1109/tpwrs.2003.811170

Cited by 62 publications

(13 citation statements)

References 6 publications

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“…The DN expansion has a core function to supply new load nodes with electrical energy, but this also includes the connection of future DG units. Universally, the aim of DN expansion is the minimization of installation and operation costs of new substations, cables and overhead lines [3][4][5]. DN expansion can be enforced by using network analysis software (NEPLAN, ETAP, PowerFactory, etc.)…”

Section: The Planning Of Distribution Network Expansion and Operationmentioning

confidence: 99%

Planning of Active Distribution Networks in Croatia

Prenc

Strnad²,

Tomas

2018

Teh. vjesn.

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This paper explores the concept of distribution network planning in Croatia from both theoretical and practical point of view. First, the types of distribution system planning are presented. Then the technical criteria for distribution network planning in Croatia are elaborated, according to the Croatian Grid Code and the standard practice of Croatia's Distribution System Operator. The focus of this paper is to go through the basic differences between planning active and passive distribution networks in Croatia with special attention paid to voltage and power fluctuations caused by distributed generation units. Distribution network configurations that are used in Croatia are also displayed, especially in the context of redundancy and contingency analysis. The availability and type of input data for distribution network planning is thoroughly discussed. In addition, the paper addresses the challenges associated with the elimination of the 35 kV networks and the transition from 10 to 20 kV voltage level in Croatia. Finally, some relatively new but not yet exploited concepts are overviewed, like demand response and electric vehicles along with the future development of smart grids in Croatia.

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Section: The Planning Of Distribution Network Expansion and Operationmentioning

confidence: 99%

Planning of Active Distribution Networks in Croatia

Prenc

Strnad²,

Tomas

2018

Teh. vjesn.

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“…Additionally, this approach alters the essence of the original technical problem. On the other hand, some authors have studied this problem using aggregation functions, converting the multi-objective problem into a single objective one that assumes a (weighted or not) sum of the selected objective functions [23][24][25][26][27][28][29][30]. The major difficulty in this kind of problem consists in the incompatibility of different criteria.…”

Section: Introductionmentioning

confidence: 99%

“…In order to avoid the evaluation of the entire space of the candidate solutions and to minimize the computation burden, several algorithms have been developed. Most authors have used different well known heuristics (branch exchange [2,3,21], branch and bound [1,4], simulated annealing [5]), other heuristic rules or meta-heuristics [7][8][9][11][12][13]15,17,22,23,25,27,28] or multi-agent technologies [20]. On the other hand, some authors have developed methods based on evolutionary computation techniques [6,14,16,18,19,24,26,29,30].…”

Section: Introductionmentioning

confidence: 99%

Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II

et al. 2013

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Reconfiguration, by exchanging the functional links between the elements of the system, represents one of the most important measures which can improve the operational performance of a distribution system. The authors propose an original method, aiming at achieving such optimization through the reconfiguration of distribution systems taking into account various criteria in a flexible and robust approach. The novelty of the method consists in: the criteria for optimization are evaluated on active power distribution systems (containing distributed generators connected directly to the main distribution system and microgrids operated in grid-connected mode); the original formulation (Pareto optimality) of the optimization problem and an original genetic algorithm (based on NSGA-II) to solve the problem in a non-prohibitive execution time. The comparative tests performed on test systems have demonstrated the accuracy and promptness of the proposed algorithm.

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“…Several methods for optimal allocation of SVRs in distribution feeders and plan of distribution system expansion have been proposed [2][3][4][5][6]. However, these papers have not been based on the cooperative control of SVRs and LRT in plural distribution feeders and the forecasted amount of PV introduced to distribution feeders a few years later.…”

Section: Introductionmentioning

confidence: 99%

Method of Optimal Allocation of SVR in Distribution Feeders with Renewable Energy Sources

Takahashi¹,

Hayashi

Tsuji

et al. 2012

Journal of International Council on Electrical Engineering

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-In this paper, the authors propose a determination method of optimal allocation and transfer of step voltage regulators (SVRs) in distribution feeders with renewable energy sources (RES). The feature of the proposed method is to determine optimal allocation and transfer of SVRs based on the forecasted amount of PV introduced to distribution feeders a few years later and cooperative controlling of SVRs and LRT. In the proposed method, voltage margin is maximized under a constraint that all the node voltages are controlled within the proper range for a certain period of years. In order to verify the validity of the proposed method, the optimal allocation and transfer of SVRs obtained by the proposed method is compared with the optimal one of the conventional approach. In the numerical simulation results, the number of transfer and install of SVR with the proposed method is reduced from those of conventional method.

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Long-term distribution network expansion planning by network reconfiguration and generation of construction plans

Cited by 62 publications

References 6 publications

Planning of Active Distribution Networks in Croatia

Planning of Active Distribution Networks in Croatia

Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II

Method of Optimal Allocation of SVR in Distribution Feeders with Renewable Energy Sources

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