NDLI: Distributed optimisation-based collaborative security-constrained transmission expansion planning for multi-regional systems

Content Provider	IET Digital Library
Author	Mehrtash, Mahdi Kargarian, Amin Mohammadi, Ali
Abstract	This study presents a distributed collaborative transmission expansion planning (TEP) algorithm for interconnected multi-regional power systems. The proposed algorithm is a multi-agent-based TEP. A local TEP is formulated for each region (agent) with respect to the region's local characteristic and interactions (i.e. tie-line flows) with its neighbours. Nodal power balances at border buses are modified to model the interactions. Realistic planning constraints and objectives such as budget constraints, operational costs, N − 1 security criterion, and uncertainties are modelled in the local TEPs. The information privacy is respected as each local planner needs to share limited information related to cross-border tie lines with other planners. To coordinate the local planners, a two-level distributed optimisation algorithm is proposed based on the concept of analytical target cascading (ATC) for multidisciplinary design optimisation. While the upper level solves the local TEPs in parallel, the lower level seeks to coordinate neighbouring regions. The lower-level problem is further replaced in the upper-level optimisation by Karush–Kuhn–Tucker conditions to relax the need for any form of central coordinator. This makes the proposed ATC-based TEP a fully parallelised distributed optimisation algorithm. An initialisation strategy is suggested to enhance the performance of the distributed TEP.
Starting Page	2819
Ending Page	2827
Page Count	9
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 13, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.6555
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-04-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Analytical Target Cascading ATC-based TEP Cross-border Tie Line Distributed Collaborative Transmission Expansion Planning Algorithm Distributed Optimisation-based Collaborative Security-constrained TEP Expert System And Other AI Software And Technique Fully Parallelised Distributed Optimisation Algorithm Information Privacy Interconnected Multiregional Power System Local Planner Needs Local Planners Local TEP Multi-agent System Multiagent-based TEP Multidisciplinary Design Optimisation Multiregional System N-1 Security Criterion Neighbouring Region Nodal Power Balances Optimisation Optimisation Technique Power Engineering Computing Power System Economics Power System Interconnection Power System Managemen Power System Operation Power System Planning And Layout Power System Protection Power System Security Power Transmission Planning Power Transmission, Distribution And Supply Realistic Planning Constraint Tie-line Two-level Distributed Optimisation Algorithm Upper-level Optimisation
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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