Journal article
A distribution network planning model considering neighborhood energy trading
Electric Power Systems Research, Vol.191, Art. 106894
2021
Abstract
The widespread adoption of small-scale distributed energy resources (DERs) amongst energy users has drastically changed the operation of distribution networks. To date, there has not been a consolidated model to incorporate the investment decisions of the end-users in the distribution network planning. The contribution of this paper is a distribution network planning model for the utility which considers the neighborhood energy trading (NET) as a platform for end-users to directly exchange energy between them. The proposed mixed-integer second-order cone programming (MISOCP) problem provides the optimal decisions for line and transformer upgrades, as well as for photovoltaic (PV) and battery in end-users’ premises. Moreover, it indicates a fair allocation of network charges among the participants to NET schemes. The simulation results on the IEEE-33 bus test system confirm the effectiveness of the proposed model in lowering the total cost of the planning and the operation. This platform can be used by government-owned utilities as a guide to avoid sunk investments while motivating the increased installation of renewable distributed generation and storage units by end-users.
Details
- Title
- A distribution network planning model considering neighborhood energy trading
- Authors/Creators
- J. Maleki Delarestaghi (Author/Creator)A. Arefi (Author/Creator)G. Ledwich (Author/Creator)A. Borghetti (Author/Creator)
- Publication Details
- Electric Power Systems Research, Vol.191, Art. 106894
- Publisher
- Elsevier B.V.
- Identifiers
- 991005541894007891
- Copyright
- © 2020 Elsevier B.V.
- Murdoch Affiliation
- School of Engineering and Energy
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.18 Power Systems & Electric Vehicles
- 4.18.204 Smart Grid Optimization
- Web Of Science research areas
- Engineering, Electrical & Electronic
- ESI research areas
- Engineering