Transmission expansion planning in presence of electric vehicles at the distribution level
| Autor: | Jesus Sagredo, Paulo M. Martins Da Costa, Alireza Soroudi, Eduardo M. Gouveia |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Mathematical optimization
System adequacy Computer science 020209 energy Energy Engineering and Power Technology 02 engineering and technology Fuzzy logic symbols.namesake Electric power system Fuzzy power flow 0202 electrical engineering electronic engineering information engineering Transmission Electrical and Electronic Engineering business.industry 020208 electrical & electronic engineering Uncertainty Repression Dual (category theory) Renewable energy Electricity generation Transmission (telecommunications) Modeling and Simulation Lagrange multiplier symbols Probability distribution business |
| Zdroj: | International Transactions on Electrical Energy Systems. 31 |
| ISSN: | 2050-7038 |
| DOI: | 10.1002/2050-7038.12769 |
| Popis: | The planning of the transmission network is an issue that, over the years, has received much attention, particularly due to the impact that this infrastructure has on the safe and reliable functioning of electrical systems. The search for solutions addressing climate change has led to several changes in the functioning of electrical systems, particularly concerning the increasing integration of renewable electricity production. However, in recent years, changes in the load side of the electrical system have also emerged. In particular, electric mobility has been developing, and a high penetration of electric vehicles (EVs) is expected in near future. This consumption is supplied by the distribution system but will impact the transmission network. Naturally, the amount of energy used by EVs is subject to uncertainties, which makes the problem complex. Those uncertainties cannot be easily modeled using statistical distributions because of the reduced history of available information. The transmission system operator (TSO) needs an efficient tool to analyze the adequacy of the transmission network to supply the distribution networks with high penetration of EVs. In this paper, a methodology based on symmetric/constrained fuzzy power flow is proposed to find the optimal investment policy at the transmission level while satisfying the technical constraints. The concept of dual variables provided by Lagrange multipliers, the natural result of the nonlinear optimization problem, is used to obtain the most promising reinforcement options considering the actual structure of the transmission network. The proposed model is tested on an IEEE 14-bus system. |
| Databáze: | OpenAIRE |
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