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Authors: Ikki Tanaka and Hiromitsu Ohmori

Affiliation: Keio University, Japan

ISBN: 978-989-758-218-9

Keyword(s): Stochastic Optimization, Power Systems, Renewable Energy Sources, Distributed Generations, Expansion Planning.

Related Ontology Subjects/Areas/Topics: Applications ; Energy and Environment ; Methodologies and Technologies ; Operational Research ; Pattern Recognition ; Resource Allocation ; Software Engineering ; Stochastic Optimization

Abstract: Large installation of distributed generations (DGs) of renewable energy sources (RESs) on distribution network has been one of the challenging tasks in the last decade. According to the installation strategy of Japan, long-term visions for high penetration of RESs have been announced. However, specific installation plans have not been discussed and determined. In this paper, for supporting the decision-making of the investors, a new scenario-based two-stage stochastic programming problem for long-term allocation of DGs is proposed. This problem minimizes the total system cost under the power system constraints in consideration of incentives to promote DG installation. At the first stage, before realizations (scenarios) of the random variables are known, DGs’ investment variables are determined. At the second stage, after scenarios become known, operation and maintenance variables that depend on scenarios are solved. Furthermore, a new scenario generation procedure with clustering algo rithm is developed. This method generates many scenarios by using historical data. The uncertainties of demand, wind power, and photovoltaic (PV) are represented as scenarios, which are used in the stochastic problem. The proposed model is tested on a 34 bus radial distribution network. The results provide the optimal long-term investment of DGs and substantiate the effectiveness of DGs. (More)

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Paper citation in several formats:
Tanaka I. and Ohmori H. (2017). New Scenario-based Stochastic Programming Problem for Long-term Allocation of Renewable Distributed Generations.In Proceedings of the 6th International Conference on Operations Research and Enterprise SystemsISBN 978-989-758-218-9, pages 96-107. DOI: 10.5220/0006189900960107

@conference{icores17,
author={Ikki Tanaka and Hiromitsu Ohmori},
title={New Scenario-based Stochastic Programming Problem for Long-term Allocation of Renewable Distributed Generations},
booktitle={Proceedings of the 6th International Conference on Operations Research and Enterprise Systems},
year={2017},
pages={96-107},
doi={10.5220/0006189900960107},
isbn={978-989-758-218-9},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems
TI - New Scenario-based Stochastic Programming Problem for Long-term Allocation of Renewable Distributed Generations
SN - 978-989-758-218-9
AU - Tanaka I.
AU - Ohmori H.
PY - 2017
SP - 96
EP - 107
DO - 10.5220/0006189900960107

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