MPPTMaximum Power Point Tracking (space power regulator topology)
MPPTMethylprednisolone Pulse Therapy
MPPTMucin-Producing Pancreatic Tumor (oncology)
References in periodicals archive ?
Unlike other works, an extra DC-DC converter to perform MPPT was not needed, since the front-end rectifier executed active input current wave shaping for power factor correction and MPPT as well.
Artificial intelligence methods have been used to design MPPT controllers; such methods include artificial neural networks [7]-[9], particle swarm optimization (PSO) method [10], [11], fireworks-enriched algorithm (FE) [12], [13], and fuzzy logic controller (FLC)-based Mamdani or T-S model [14]-[16].
Two sensors are installed: one is installed before MPPT to measure the PV current and the other is installed after MPPT to measure the battery current.
To achieve maximum power point, the MPPT buck converter can be designed using different MPPT algorithms.
In the first stage of a grid-connected inverter, an MPPT control algorithm mainly includes the constant voltage method, the perturbation and observation (P&O) method, and the conductance increment method.
[20] proposed a short-circuit pulse-based MPPT with fast scan on the P- V curve to identify the proportional parameter which is commonly used in a current-based MPPT [21].
Over the past decades, various MPPT methods have been developed.
MPPT capability on a charge controller is similar to MPPT with inverters (and DC optimizers).
Different MPPT techniques have been considered in PV power applications.
For several years, many MPPT control methods have been developed and implemented, like Fuzzy Logic Method [4-7], perturbation and observation (P&O) method [5, 6, 8], and Incremental Conductance (Inc.Con.) method [7, 9-11].