A multi-level approach to active distribution system planning for efficient renewable energy harvesting in a deregulated environment

Bo Zeng, Junqiang Wen, Jinyue Shi, Jianhua Zhang and Yuying Zhang

Energy, 2016, vol. 96, issue C, 614-624

Abstract: Increasing penetration of renewable distributed generation accentuates the need of active distribution system. However, under the unbundling environment, the conflicting interests between different market participants create hurdles for efficient exploitation of renewable energy sources. To address this issue, we develop a multi-level optimization approach for active distribution system planning, with the purpose of best coordinating the target of renewable energy harvest with the benefits of individuals. The proposed model considers the decision-making of utility under the constraints by the reaction of distributed generation owner as well as the system operational characteristics. It collectively determines the optimal solution concerning network reinforcement, reserve and renewable generation deployment. Furthermore, demand response has been considered as an additional active network management scheme in this work and the uncertainties of renewable generation and load responsiveness are also accounted for. Numerical results based on a 33-bus distribution system verify the effectiveness of the proposed method.

Keywords: Active distribution system; Renewable distributed generation; Active network management; Multi-level programming; Deregulated market (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (19)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:96:y:2016:i:c:p:614-624

DOI: 10.1016/j.energy.2015.12.070

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