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This paper proposes a stochastic planning framework for the battery energy storage system (BESS) with abundant distributed renewable energy sources. The uncertainties of wind power, solar power, and load demand variations are modeled through the scenario analysis. The risks of the planner in the uncertain environment is also considered. The conditional value at risk (CVaR) theory is introduced into...
The increasingly prevalence of electric vehicles (EVs) calls for the effective planning of the charging infrastructure. In this paper, a multi-objective, multi-stage collaborative planning model is proposed for the EV charging stations and power distribution network. The model aims to minimize the investment & operation costs of the distribution system while maximizing the annually captured traffic...
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