OpenTEPES: Open-source Transmission and Generation Expansion Planning

Ramos, Andrés; Alvarez, Erik F.; Lumbreras, Sara

doi:10.1016/j.softx.2022.101070

Cited by 11 publications

(8 citation statements)

References 7 publications

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“…Deciding the best transmission additions to the network is notoriously difficult. For this reason, optimization models such as openTEPES [5] are used. These optimization models try to reflect the reality of the TEP problem.…”

Section: Models and Methods Used For Representing And Solving The Tep...mentioning

confidence: 99%

“…As explained below, the result of this process should be a list of quasi-optimal, acceptably good solutions. (5) These acceptable solutions should be evaluated across all the relevant criteria, which may imply performing a series of simulations if the criteria were too complex to be included in the optimization model directly. Then, the best solution should be selected as the one to be implemented.…”

Section: Introductionmentioning

confidence: 99%

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The Human Factor in Transmission Network Expansion Planning: The Grid That a Sustainable Energy System Needs

et al. 2022

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The decarbonization of the energy sector puts additional pressure on the transmission network. The main cause for this is that renewable sources are often more abundant in geographical areas far away from the main demand centers, so new transmission lines are required to connect the new renewable energy capacity. In addition, by connecting different geographical zones, the transmission network could smooth the intermittency and the variability of renewable energy production. Thus, the changing energy landscape leads to a need to reinforce the transmission network through the Network Transmission Expansion Planning. Ideally, all the idiosyncrasies of the electricity system are considered in the operation and expansion planning process. However, several critical dimensions of the planning process are routinely ignored since they may introduce parameters that are difficult to quantify and complexity that state-of-the-art planning methods cannot handle. This paper identifies the most relevant elements related to the human factor, which have been grouped around the main topics: the human behind the technical, the human at the institutional level, and the human at the individual level. This paper also provides an additional formulation that can be used to upgrade existing models to include the human element and discusses the implications of these upgrades.

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Section: Models and Methods Used For Representing And Solving The Tep...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Human Factor in Transmission Network Expansion Planning: The Grid That a Sustainable Energy System Needs

et al. 2022

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“…The formulation proposed for the transmission planning problem is based on that in the existing open-source model openTEPES by [11], where network investment decisions are computed for future years considering hourly resolution in the future system operation. Candidate lines are pre-defined by the user, so the model determines the optimal investment decisions among those specified as options using a DC-OPF linearized approximation.…”

Section: A Tep Problem: Constraintsmentioning

confidence: 99%

“…The MGs at distribution nodes 13, 18, and 30 have a BES energyto-power ratio of 17.2kWh/14.4kW, 25.9kWh/21.6kW, and 134.9kWh/111.76kW, respectively. The complete data can also be found online in a folder named "TSO-DSO coordination" 1 in the repository of the openTEPES model [11]. At each transmission node where there is a connection point for a distribution grid, 10 of the aforementioned standard distribution networks were assumed to be connected.…”

Section: A Test Systemmentioning

confidence: 99%

Values and impacts of incorporating local flexibility services in transmission expansion planning

Alvarez

Olmos

Ramos

et al. 2022

Electric Power Systems Research

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“…For an overview of non-open-source ESMs the reader is referred to [3]. There are many open-source ESMs available such as: GenX [4,5], EMMA [6], ANTARES [7], NEMO [8], EMPIRE [9], openTEPES [10], PyPSA [11], SpineOpt [12] and Switch [13] just to name a few. Most of these models are very complex, but were designed with one specific purpose in mind, e.g.…”

Section: Motivation and Significancementioning

confidence: 99%