Currently, stochastic dynamic programming (SDP) and the multi-scenario method are two major approaches to cope with this difficult issue.
With the development of sampling and cutting technology, the multi-scenario method [21] is used to solve the MTHS problem.
Then a case containing a grid-connected microgrid with wind power, photovoltaic, battery energy storage and load is studied, and the multi-scenario probabilistic method is used.
The scenario method underwent another methodological innovation.
Theoretical treaties on the scenario method and academic programs on scenario development are rare--though many books have been written about how to do scenarios.
However, there is no 'one" scenario method.
One project described three fictive scenarios as examples for the scenario method itself [ 24].
Some adopted the scenarios method.
The framework adopts a scenario design method, a multi-agent simulation method, and a robust design method to solve these issues, and integrates them in a sophisticated manner.
Combinational strategies have been introduced in the SEM connectivity method to enhance the reduction procedure and a hierarchical reduction procedure is proposed for multi-scenario problems.
Multi-model multi-scenario ensemble: Several models, several scenarios.
