Publicação: Eco-friendly Planning of DG units and EV Charging Stations in Electrical Distribution Systems: A Multi-Objective Mixed Integer Linear Programming Model
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National and international policies have encouraged the adoption of renewable generation and electric vehicles (EV) to reduce greenhouse gas emissions and alleviate climate change. In the following years, there is a strong growth trend for these technologies, stimulated by global agreements (i.e., the Paris Agreement). In this context, this paper proposes a multi-objective approach based on stochastic programming for the planning of distributed generation (DG) and EV charging stations, which considers the minimization of two conflicting objectives: costs and CO2 emissions. Multi-period investments in DG allocation (renewable and non-renewable) and EV charging stations are considered to maintain the feasible operation of the electrical distribution systems. The uncertainties related to renewable generation, conventional demand, and EV demand are modeled through a set of representative scenarios. Tests demonstrate the applicability of the proposed approach. The set of Pareto solutions found by the proposed approach represents the trade-off between cost and emission objectives.
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CO2emissions, Distribution system planning, EV charging stations, multi-objective optimization, renewable distributed generation
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Inglês
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2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022.
