Stochastic multi-stage model for co-planning of transmission system and merchant distributed energy resources

In recent years, while energy consumption is still increasing, system peak load is decreasing due to deregulation in power systems, application of demand response programmes, microgrids and smart grids implementation, and so on. Thus, transmission system operators (TSOs), which are usually a public...

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Bibliographic Details
Published in:IET generation, transmission & distribution Vol. 13; no. 14; pp. 3003 - 3010
Main Authors: Ranjbar, Hossein, Hosseini, Seyed Hamid
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 23.07.2019
Subjects:
bi‐level model
buying energy
DERs investments
distributed power generation
energy consumption
high investment costs
IEEE RTS 24 bus test system
integer programming
investment
line investment cost
linear programming
merchant distributed energy resources
power markets
power system reliability
power system security
power systems
power transmission economics
pricing
Research Article
smart power grids
stochastic multistage model
system peak load
transmission network
transmission system operators
bi-level model
line investment cost
integer programming
system peak load
smart power grids
investment
linear programming
distributed power generation
power transmission economics
DERs investments
merchant distributed energy resources
power system security
stochastic multistage model
transmission network
high investment costs
power system reliability
IEEE RTS 24 bus test system
power systems
power markets
buying energy
energy consumption
transmission system operators
pricing
ISSN:1751-8687, 1751-8695
Online Access:Get full text
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Summary:In recent years, while energy consumption is still increasing, system peak load is decreasing due to deregulation in power systems, application of demand response programmes, microgrids and smart grids implementation, and so on. Thus, transmission system operators (TSOs), which are usually a public entity, must reinforce the transmission systems to maintain power system reliability. They are not interested in investing transmission network because of high investment costs. In this regard, this study presents a new bi-level model for co-planning of transmission system and merchant distributed energy resources (DERs). The upper level takes the TSOs perspective and aims to minimise the line investment cost and cost of buying energy from conventional generators and DERs, while ensuring a given rate of return on DERs investments. The lower level simulates market clearing to find nodal prices for calculating DERs' profit and cost of buying energy. The proposed model is reformulated as a single-level mixed integer linear programming problem by strong duality technique, bigM method, and the complementary slackness conditions. The IEEE RTS 24 bus test system has been used to show the usefulness of the proposed model.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2018.6324