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The dual dynamic programming (DDP) [33] algorithm consists of a forward and a backward pass.
The separation problems are solved using a standard stochastic dual dynamic programming (SDDP) algorithm.
Instead of using simplifications, the presented model uses a dual dynamic programming approach to reduce computational complexity.
To reduce the computation time, stochastic dual dynamic programming (SDDP) [18, 19, 20] decomposes the multi-stage stochastic optimization problem into several one-stage sub-problems.
Also there are commercial models that consider electric power and natural gas systems coordinately [stochastic dual dynamic programming (SDDP)] [6, 7].
It is derived from the parameterized incidence matrices which are a mathematical representation of the primal and dual dynamic network graphs associated with the system.
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The increased observability and controllability of the smart grid is utilized to apply a dual heuristic dynamic program to solving the dynamic stochastic optimal power flow (OPF) problem in [42].
As the final time extends to infinity, the reinforcement synthesis algorithm is equivalent to the Dual Heuristic dynamic Programming (DHP) algorithm, a version of approximate dynamic programming.
The coupling of the two solvers is achieved via a dual hierarchical dynamic adaptive-mesh framework.
The RLS estimator is designed to perform the approximate solution of HJB-Riccati Equation in Dual Approximate Dynamic Programming.
Moreover, the single network dual heuristic dynamic programming (SN-DHP) technique, which eliminates the use of action network, is introduced to implement the iterative ADP algorithm.
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