Transmission Pricing Dynamically Integrated with Distribution Planning



transmission cost allocation, responsive loads, segments integration, dynamic tariff-load balance


Modern electrical networks with automatic control devices and with models that look for minimizing their costs will naturally increase the loading on buses with lower tariffs. We can identify two factors that are contributing to accelerate the network modernization. Firstly, the global targets to reduce the emission of polluting gases, which are boosting the transport electrification, a highly dynamic element. Secondly, the greater participation of clients in decision-making processes due to advances in means of measurement and communication. In this context, the article brings two innovative and direct contributions. The integration of transmission and distribution segments in a unique set of simulation, and the proposal of a novel transmission cost allocation (TCA) methodology. The integration between both segments confirms that loads responsive to tariff signals will seek buses with lower tariffs. The results show that traditional TCA methods do not respond to load variations in a coordinated manner. Therefore, the main contribution of the proposed methodology is to capture the consumption dynamics and make tariff adjustments proportional to the load variations. It preserves the tariff characteristics of traditional TCA methods and automatically induces a dynamic tariff-load balance for the entire power system. Thus, new investments in network reinforcements can be postponed, reducing the total cost paid by users in a long-term prospect.


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Author Biographies

Marcelo Azevedo Benetti, Federal University of Santa Maria (UFSM),

He holds a degree in electrical engineering from Federal University of Santa Maria (UFSM), and a master's degree from Federal University of Santa Catarina (UFSC). He was an engineer at Rio Grande Energia (RGE), a CPFL Group company. He also worked as researcher at LabPlan and as professor in the electrical engineering course at SATC. He is currently a Ph.D. student in the Postgraduate Program in Electrical Engineering (PPGEE) at UFSM linked to Center of Excellence in Energy and Power Systems (CEESP).

Mauricio Sperandio, Federal University of Santa Maria (UFSM)

He holds a degree in Electrical Engineering from UFSM, with an emphasis on Electric Power Systems, and completed a master's degree and a Ph.D. in Electrical Energy Systems from UFSC in 2004 and 2008, respectively, linked to LabPlan. From 2009 to 2013, he was adjunct professor at Federal University of Pampa - Campus Alegrete (RS). He is currently at UFSM, as head of the Department of Electromechanical and Power Systems. He works in the areas of planning, analysis and operation of electrical energy systems with the application of optimization methods. Main interest in research and development in the area of transmission and distribution, pricing, smart grids and micro grids.

Moises Machado Santos, Regional University of Northwestern (UNIJUÍ)

He holds a degree in Electrical Engineering from Regional University of the Northwestern - UNIJUÍ (2005), a Master’s Degree in Electrical Engineering from UFSC (2008) and a Ph.D. in Electrical Engineering from UFSM, with a sandwich doctorate from University of Porto, Portugal (2017). He is currently an adjunct professor at UNIJUÍ. He works in the areas of planning, analysis and operation of electrical energy systems, applying optimization methods linked to the Smart Grid concept.

Felipe Nicoletti Lima, Federal University of Santa Maria (UFSM)

He has a Technical course in Electrotechnics from July 25 Technical School (2007), a degree in Electrical Engineering from UNIJUÍ (2016) and a Master's Degree from UFSM (2020). He is currently an Electrotechnician at Energy Department of Ijuí. He has experience in Electrical Engineering, working mainly on the following themes: Reconfiguration of distribution networks, Transmission System Usage Tariffs, and Heuristic Methodologies.


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How to Cite

Azevedo Benetti, M., Sperandio, M., Machado Santos, M., & Nicoletti Lima, F. (2021). Transmission Pricing Dynamically Integrated with Distribution Planning. IEEE Latin America Transactions, 100(XXX). Retrieved from