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A comprehensive multi-stage storage planning model considering the increasing penetration of DG model is developed.
The temporal dependence of forecast series is crucial for multistage decision-making problems, such as energy storage planning and scheduling.
Energy storage planning scenarios are scheduled according to information provided by lower and upper bounds extracted from probabilistic forecasts.
VLPGO (twelve of the largest power grid operators) has launched an investigation into renewable energy development and energy storage planning in different countries.
The contribution of this paper can be summarised as follows: 1) A comprehensive multi-stage storage planning model considering the increasing penetration of DG model is developed.
We formulate the energy storage planning as a Mixed-Integer Linear Programming (MILP) problem, respecting PEV requirements, minimizing three different objectives and analyzing three different criteria.
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