IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v56y2016icp410-421.html
   My bibliography  Save this article

Impact of network payment schemes on transmission expansion planning with variable renewable generation

Author

Listed:
  • Bravo, Diego
  • Sauma, Enzo
  • Contreras, Javier
  • de la Torre, Sebastián
  • Aguado, José A.
  • Pozo, David

Abstract

A large number of studies have dealt with the Transmission Expansion Planning (TEP) problem. However, few investigations have focused on analyzing the impacts of network payment schemes on network configuration and the benefits/losses distribution among the participants in electricity markets. In this paper, we propose a multi-annual transmission expansion planning model considering four different network payment schemes to finance the construction of new transmission lines, seeking to reduce the total system costs. Wind and solar power generation are included in the model taking into account their variability. The proposed models are reformulated as Mixed Integer Linear Programming (MILP) problems. We use seven performance metrics related with congestion, nodal prices and generator benefits, among others, to evaluate the effect of each payment scheme. A realistic case study based on the main power system in Chile is analyzed to illustrate the proposed models. It is shown that integrating line cost-recovering equations into the TEP model may result into a more realistic and less congested power network. Also, total system cost is highly related with transmission tariff discrimination. In that way, tariffs with high location dependence perform better in the case studied, the Chilean power system.

Suggested Citation

  • Bravo, Diego & Sauma, Enzo & Contreras, Javier & de la Torre, Sebastián & Aguado, José A. & Pozo, David, 2016. "Impact of network payment schemes on transmission expansion planning with variable renewable generation," Energy Economics, Elsevier, vol. 56(C), pages 410-421.
  • Handle: RePEc:eee:eneeco:v:56:y:2016:i:c:p:410-421
    DOI: 10.1016/j.eneco.2016.04.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988316300846
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2016.04.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Francisco Munoz & Enzo Sauma & Benjamin Hobbs, 2013. "Approximations in power transmission planning: implications for the cost and performance of renewable portfolio standards," Journal of Regulatory Economics, Springer, vol. 43(3), pages 305-338, June.
    2. Enzo Sauma & Shmuel Oren, 2006. "Proactive planning and valuation of transmission investments in restructured electricity markets," Journal of Regulatory Economics, Springer, vol. 30(3), pages 358-387, November.
    3. Pozo, David & Contreras, Javier & Sauma, Enzo, 2013. "If you build it, he will come: Anticipative power transmission planning," Energy Economics, Elsevier, vol. 36(C), pages 135-146.
    4. Francisco Munoz & Jean-Paul Watson, 2015. "A scalable solution framework for stochastic transmission and generation planning problems," Computational Management Science, Springer, vol. 12(4), pages 491-518, October.
    5. Schill, Wolf-Peter & Egerer, Jonas & Rosellón, Juan, 2015. "Testing Regulatory Regimes for Power Transmission Expansion with Fluctuating Demand and Wind Generation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 47(1), pages 1-28.
    6. Bushnell, James B. & Stoft, Steven E., 1997. "Improving private incentives for electric grid investment," Resource and Energy Economics, Elsevier, vol. 19(1-2), pages 85-108, March.
    7. Bushnell, James, 1999. "Transmission Rights and Market Power," The Electricity Journal, Elsevier, vol. 12(8), pages 77-85, October.
    8. Enzo Sauma & Shmuel Oren, 2006. "Proactive planning and valuation of transmission investments in restructured electricity markets," Journal of Regulatory Economics, Springer, vol. 30(3), pages 261-290, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Caunhye, Aakil M. & Cardin, Michel-Alexandre, 2018. "Towards more resilient integrated power grid capacity expansion: A robust optimization approach with operational flexibility," Energy Economics, Elsevier, vol. 72(C), pages 20-34.
    2. Nie, S. & Li, Y.P. & Liu, J. & Huang, Charley Z., 2017. "Risk management of energy system for identifying optimal power mix with financial-cost minimization and environmental-impact mitigation under uncertainty," Energy Economics, Elsevier, vol. 61(C), pages 313-329.
    3. Bergen, Matías & Muñoz, Francisco D., 2018. "Quantifying the effects of uncertain climate and environmental policies on investments and carbon emissions: A case study of Chile," Energy Economics, Elsevier, vol. 75(C), pages 261-273.
    4. Joseph Nyangon & John Byrne, 2023. "Estimating the impacts of natural gas power generation growth on solar electricity development: PJM's evolving resource mix and ramping capability," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(1), January.
    5. Banez-Chicharro, Fernando & Olmos, Luis & Ramos, Andres & Latorre, Jesus M., 2017. "Beneficiaries of transmission expansion projects of an expansion plan: An Aumann-Shapley approach," Applied Energy, Elsevier, vol. 195(C), pages 382-401.
    6. Iacopo Savelli & Thomas Morstyn, 2020. "Electricity prices and tariffs to keep everyone happy: a framework for fixed and nodal prices coexistence in distribution grids with optimal tariffs for investment cost recovery," Papers 2001.04283, arXiv.org, revised Jun 2021.
    7. Taheri, S. Saeid & Kazempour, Jalal & Seyedshenava, Seyedjalal, 2017. "Transmission expansion in an oligopoly considering generation investment equilibrium," Energy Economics, Elsevier, vol. 64(C), pages 55-62.
    8. Egerer, Jonas & Grimm, Veronika & Kleinert, Thomas & Schmidt, Martin & Zöttl, Gregor, 2021. "The impact of neighboring markets on renewable locations, transmission expansion, and generation investment," European Journal of Operational Research, Elsevier, vol. 292(2), pages 696-713.
    9. Subhojit Dawn & Gummadi Srinivasa Rao & M. L. N. Vital & K. Dhananjay Rao & Faisal Alsaif & Mohammed H. Alsharif, 2023. "Profit Extension of a Wind-Integrated Competitive Power System by Vehicle-to-Grid Integration and UPFC Placement," Energies, MDPI, vol. 16(18), pages 1-24, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Camelo, Sergio & Papavasiliou, Anthony & de Castro, Luciano & Riascos, Álvaro & Oren, Shmuel, 2018. "A structural model to evaluate the transition from self-commitment to centralized unit commitment," Energy Economics, Elsevier, vol. 75(C), pages 560-572.
    2. Go, Roderick S. & Munoz, Francisco D. & Watson, Jean-Paul, 2016. "Assessing the economic value of co-optimized grid-scale energy storage investments in supporting high renewable portfolio standards," Applied Energy, Elsevier, vol. 183(C), pages 902-913.
    3. Caballero, F. & Sauma, E. & Yanine, F., 2013. "Business optimal design of a grid-connected hybrid PV (photovoltaic)-wind energy system without energy storage for an Easter Island's block," Energy, Elsevier, vol. 61(C), pages 248-261.
    4. Munoz, Francisco D. & van der Weijde, Adriaan Hendrik & Hobbs, Benjamin F. & Watson, Jean-Paul, 2017. "Does risk aversion affect transmission and generation planning? A Western North America case study," Energy Economics, Elsevier, vol. 64(C), pages 213-225.
    5. Wolf-Peter Schill & Jonas Egerer & Juan Rosellón, 2015. "Testing regulatory regimes for power transmission expansion with fluctuating demand and wind generation," Journal of Regulatory Economics, Springer, vol. 47(1), pages 1-28, February.
    6. Taheri, S. Saeid & Kazempour, Jalal & Seyedshenava, Seyedjalal, 2017. "Transmission expansion in an oligopoly considering generation investment equilibrium," Energy Economics, Elsevier, vol. 64(C), pages 55-62.
    7. Yanine, Franco Fernando & Caballero, Federico I. & Sauma, Enzo E. & Córdova, Felisa M., 2014. "Homeostatic control, smart metering and efficient energy supply and consumption criteria: A means to building more sustainable hybrid micro-generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 235-258.
    8. Gorenstein Dedecca, João & Lumbreras, Sara & Ramos, Andrés & Hakvoort, Rudi A. & Herder, Paulien M., 2018. "Expansion planning of the North Sea offshore grid: Simulation of integrated governance constraints," Energy Economics, Elsevier, vol. 72(C), pages 376-392.
    9. Bergen, Matías & Muñoz, Francisco D., 2018. "Quantifying the effects of uncertain climate and environmental policies on investments and carbon emissions: A case study of Chile," Energy Economics, Elsevier, vol. 75(C), pages 261-273.
    10. Yanine, Franco Fernando & Caballero, Federico I. & Sauma, Enzo E. & Córdova, Felisa M., 2014. "Building sustainable energy systems: Homeostatic control of grid-connected microgrids, as a means to reconcile power supply and energy demand response management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 1168-1191.
    11. Ruderer, D., 2012. "The Impact of Transmission Pricing in Network Industries," Cambridge Working Papers in Economics 1230, Faculty of Economics, University of Cambridge.
    12. Wagner, Johannes, 2016. "Grid Investment and Support Schemes for Renewable Electricity Generation," EWI Working Papers 2016-8, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 10 Aug 2017.
    13. Yanine, Franco F. & Sauma, Enzo E., 2013. "Review of grid-tie micro-generation systems without energy storage: Towards a new approach to sustainable hybrid energy systems linked to energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 60-95.
    14. Ribó-Pérez, David & Van der Weijde, Adriaan H. & Álvarez-Bel, Carlos, 2019. "Effects of self-generation in imperfectly competitive electricity markets: The case of Spain," Energy Policy, Elsevier, vol. 133(C).
    15. Miguel Pérez de Arce and Enzo Sauma, 2016. "Comparison of Incentive Policies for Renewable Energy in an Oligopolistic Market with Price-Responsive Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    16. Gerbaulet, C. & Weber, A., 2018. "When regulators do not agree: Are merchant interconnectors an option? Insights from an analysis of options for network expansion in the Baltic Sea region," Energy Policy, Elsevier, vol. 117(C), pages 228-246.
    17. Matamala, Carlos & Moreno, Rodrigo & Sauma, Enzo, 2019. "The value of network investment coordination to reduce environmental externalities when integrating renewables: Case on the Chilean transmission network," Energy Policy, Elsevier, vol. 126(C), pages 251-263.
    18. Paul Simshauser & Farhad Billimoria & Craig Rogers, 2021. "Optimising VRE plant capacity in Renewable Energy Zones," Working Papers EPRG2121, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    19. Valentin Bertsch & Wolf Fichtner, 2016. "A participatory multi-criteria approach for power generation and transmission planning," Annals of Operations Research, Springer, vol. 245(1), pages 177-207, October.
    20. Ambrosius, M. & Egerer, J. & Grimm, V. & Weijde, A.H. van der, 2020. "Uncertain bidding zone configurations: The role of expectations for transmission and generation capacity expansion," European Journal of Operational Research, Elsevier, vol. 285(1), pages 343-359.

    More about this item

    Keywords

    Transmission expansion planning; Transmission tariff; Network payment schemes;
    All these keywords.

    JEL classification:

    • D41 - Microeconomics - - Market Structure, Pricing, and Design - - - Perfect Competition
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:56:y:2016:i:c:p:410-421. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.