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Optimized Congestion Management in Balancing Markets for Electricity Transmission System Operator

In: Operations Research Proceedings 2022

Author

Listed:
  • Sinan Eren

    (Power Systems Group)

  • Ali Nezih Güven

    (Middle East Technical University)

Abstract

A core function of each Electricity Transmission System Operator (TSO) is the procurement of ancillary services in real time balancing markets, necessary for a stable and reliable operation of the system. TSO controls the active power to manage congestions in transmission network based on security criteria. Congestion management is achieved by rescheduling generation using mainly experience of operators. However, TSO has legal obligations to procure ancillary services in accordance with economic, transparent and non-discriminatory procedures. This work aims to develop an algorithm/software system for a TSO to decide on the optimum redispatch in the sense of economy and security. The redispatch problem is formulated as an optimal power flow (OPF) problem. The objective function of the optimization is the minimization of the total cost of the generation shifts necessary. The security constraints will be satisfied by power flow equations which are non-linear and non-convex by nature. In order to obtain a robust solution due to the large scale nature of the problem, linearization techniques are applied to power flow equations. Compared with the commonly used DC OPF methods, reactive power and bus voltages are taken into account in the formulation. The system developed is deployed as a real time running application for real large-scale networks.

Suggested Citation

  • Sinan Eren & Ali Nezih Güven, 2023. "Optimized Congestion Management in Balancing Markets for Electricity Transmission System Operator," Lecture Notes in Operations Research, in: Oliver Grothe & Stefan Nickel & Steffen Rebennack & Oliver Stein (ed.), Operations Research Proceedings 2022, chapter 0, pages 297-304, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-24907-5_36
    DOI: 10.1007/978-3-031-24907-5_36
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