Park microgrid optimization and dispatch

What is a multi-objective interval optimization dispatch model for microgrids?

First, a multi-objective interval optimization dispatch (MIOD) model for microgrids is constructed, in which the uncertain power output of wind and photovoltaic (PV) is represented by interval variables. The economic cost, network loss, and branch stability index for microgrids are also optimized.

Can deep reinforcement learning solve the optimal dispatch of microgrids under uncertaintes?

This paper presents an improved deep reinforcement learning (DRL) algorithm for solving the optimal dispatch of microgrids under uncertaintes. First, a multi-objective interval optimization dispatch (MIOD) model for microgrids is constructed, in which the uncertain power output of wind and photovoltaic (PV) is represented by interval variables.

How to optimize a microgrid?

The economic cost, network loss, and branch stability index for microgrids are also optimized. The interval optimization is modeled as a Markov decision process (MDP). Then, an improved DRL algorithm called triplet-critics comprehensive experience replay soft actor-critic (TCSAC) is proposed to solve it.

What is a two-stage robust optimization dispatch model?

This was accomplished by proposing a novel two-stage robust optimization dispatch model that consists of an upper-level robust dispatching model for the multi-microgrid system and a lower-level electric vehicle aggregator dispatching model.

Can a multi-layer scheduling strategy improve the microgrid model?

A number of scholars adopt various strategies to optimize the established microgrid model [6, 7, 8]. The multi-layer scheduling strategy is adopted to solve a series of complex issues caused by the large-scale integration of wind and solar power [9, 10].

What is the research on microgrids?

At present, the research on microgrids mainly focuses on several aspects, including the modeling of microgrids, the processing of uncertain factors, as well as the scheduling strategy, and specific algorithm solution . A number of scholars adopt various strategies to optimize the established microgrid model [6, 7, 8].