DocumentCode :
1998
Title :
Evaluating the Impact of Registered Power Zones Incentive on Wind Systems Integration in Active Distribution Networks
Author :
Siano, Pierluigi
Author_Institution :
Dept. of Ind. Eng., Univ. of Salerno, Salerno, Italy
Volume :
11
Issue :
2
fYear :
2015
fDate :
Apr-15
Firstpage :
523
Lastpage :
530
Abstract :
For the better integration of distributed and renewable generation, new investments in innovative distribution networks, such as active distribution networks and smart grids (SGs), are required. Regulators should decide what incentives are desirable to create a flexible economic regulatory framework that can drive distribution system operators to invest in innovation and in active distribution networks. An innovative method that allows regulators assessing the impact of incentives related to investments in innovation in an electrical distribution network is presented in this paper. The method is flexible enough to allow different stakeholders like regulators, distribution companies, and developers to evaluate the long-term economic effects of their decisions. The effectiveness of the proposed method, based on nondominated sorting genetic algorithm and on multi-period optimal power flow, is verified on a 69-bus network.
Keywords :
distributed power generation; distribution networks; genetic algorithms; load flow; active distribution networks; distributed generation; electrical distribution network; innovative distribution networks; multiperiod optimal power flow; nondominated sorting genetic algorithm; registered power zones incentive; renewable generation; smart grids; wind systems integration; Economics; Energy loss; Investment; Regulators; Smart grids; Technological innovation; Wind energy; Active management (AM); distribution system operators; genetic algorithms; regulators; renewable energy sources; smart grids (SGs); wind systems;
fLanguage :
English
Journal_Title :
Industrial Informatics, IEEE Transactions on
Publisher :
ieee
ISSN :
1551-3203
Type :
jour
DOI :
10.1109/TII.2014.2308053
Filename :
6747298
Link To Document :
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