Investigating the impact of unanticipated market and construction delays on the development of a meshed HVDC grid using dynamic transmission planning

This study presents a market-based dynamic transmission planning framework for the construction of a meshed offshore voltage source converter-high voltage direct current (VSC-HVDC) grid. Such a grid is foreseen for integrating offshore wind and electricity trade functions among the North Sea countries. The proposed model seeks to maximise the social welfare of all zones and to minimise the investment capital of transmission infrastructure subject to technical and economic constraints. It determines the optimal grid design, including grid topology and transmission capacities for each development stage. The transmission capacities are set in such a way that congestion revenues collected throughout the lifetime of the infrastructure project pay off the investment cost of building the grid. The model is used to investigate the impact of unanticipated delay constraints due to technical (e.g. unavailability of DC breakers), economic (e.g. supply chain shortages) and legal obstacles (e.g. heterogeneous permitting criteria). It is quantified how (i) longer delays result in larger social welfare losses; (ii) different countries will be affected differently by the delays and so have unequal incentives for solving them; (iii) the length of the delay affects the capacity of cross-border connections. Numerical results are interpreted in economic terms and allow appraisal of the effectiveness of the proposed approach.

[1]  W. Kling,et al.  Estimation of variability and predictability of large‐scale wind energy in The Netherlands , 2009 .

[2]  G. Latorre,et al.  Classification of publications and models on transmission expansion planning , 2003 .

[3]  M. Shahidehpour,et al.  Market-Based Coordination of Transmission and Generation Capacity Planning , 2007, IEEE Transactions on Power Systems.

[4]  B. Chaudhuri,et al.  Coherency identification in power systems through principal component analysis , 2005, IEEE Transactions on Power Systems.

[5]  J. Contreras,et al.  An Effective Transmission Network Expansion Cost Allocation Based on Game Theory , 2007, IEEE Transactions on Power Systems.

[6]  Anil K. Jain Data clustering: 50 years beyond K-means , 2010, Pattern Recognit. Lett..

[7]  Javier Contreras,et al.  Market-driven dynamic transmission expansion planning , 2012 .

[8]  Ivo Chaves da Silva Junior,et al.  Static planning of the expansion of electrical energy transmission systems using particle swarm optimization , 2014 .

[9]  Masoud Rashidinejad,et al.  A PSO based approach for multi-stage transmission expansion planning in electricity markets , 2014 .

[10]  Walter Musial,et al.  Connecting the Dots: Regional Coordination for Offshore Wind and Grid Development , 2013, IEEE Power and Energy Magazine.

[11]  D. Fouquet Policy instruments for renewable energy – From a European perspective , 2013 .

[12]  Milan S. Ćalović,et al.  A new decomposition based method for optimal expansion planning of large transmission networks , 1991 .

[13]  Madeleine Gibescu,et al.  A market-based transmission planning for HVDC grid—case study of the North Sea , 2015, 2015 IEEE Power & Energy Society General Meeting.

[14]  A. M. Leite da Silva,et al.  Performance comparison of metaheuristics to solve the multi-stage transmission expansion planning problem , 2011 .

[15]  Min Xie,et al.  Multiyear Transmission Expansion Planning Using Ordinal Optimization , 2007, IEEE Transactions on Power Systems.