Power dispatch and microgrid

What is the optimal load dispatch model of a community microgrid?

To bridge this gap, the optimal load dispatch model of a grid-connected community microgrid was developed based on the forecasting of PV power output and residential power load. The key contributions of this study are as follows.

How eV and ESS can be used in community microgrid?

The adoption of EVs and ESS in microgrid contributes to 8.97% cost reduction. A deep recurrent neural network with long short-term memory units (DRNN-LSTM) model is developed to forecast aggregated power load and the photovoltaic (PV) power output in community microgrid.

What are the problems of microgrids?

Inappropriate active and reactive power flows in distribution systems contribute to increase losses, voltage drops, and grid instability. These problems are more evident in isolated microgrids where the system’s references (e.g, voltage and frequency set points) are not provided by the main grid.

Can particle swarm optimization improve the load dispatch of Community Microgrids?

Finally, particle swarm optimization (PSO) algorithm is used to optimize the load dispatch of grid-connected community microgrid. The results show that EES and the coordinated charging mode of EVs can promote peak load shifting and reduce 8.97% of the daily costs.

What is the optimal reactive power output of a microgrid?

The optimal reactive power output of units in the ADN and distributed energy resources in the microgrids calculated by the three methods is shown in Appendix 1. It can be seen from Table 6 that the network loss by the overall optimization is 28.556 kW, while the hierarchical optimization is 28.632 kW.

How do Islanded microgrids work?

Taking into account islanded microgrids, we consider a two-level strategy with local controllers in each DG, acting as agents in a network to minimize losses and costs (secondary level). Then, the set points of active and reactive power are sent to the first level controllers to guarantee the power generation of the units. 2.1. Secondary control