Research on optimization strategy of harmonic suppression and reactive power compensation of photovoltaic multifunctional grid connected inverter.

• Considering the contradiction between PVMFGCI harmonic, reactive power compensation and active grid connection, the dynamic optimization method of power quality control under PVMFGCI working state (considering meteorological conditions) and non working state (at night) is constructed. • Make full use of the remaining capacity of PVMFGCI to optimize harmonic and reactive power, greatly improve the utilization rate of inverter, and reduce the investment and operation cost of power quality control devices (such as APF) of PV grid connected system. • The adaptive ant colony algorithm is used to solve the objective function of the three-level optimization method. The adaptive value of the objective function is the largest and the convergence speed is faster. In this paper, a new harmonic suppression and reactive power compensation strategy based on photovoltaic multi-functional grid connected inverter (PVMFGCI) and a three-layer optimization model based on adaptive ant colony algorithm are proposed for optimal control of power quality of grid connected photovoltaic (PV) power generation system. Here, an improved CPT (Conservative Power Theory) current detection method is used to extract harmonic and reactive current components from the load current, and a new PVMFGCI hierarchical optimization model is developed to optimize the power quality at the common connection point (CCP). The proposed three-layer optimization model is an improved form of the two-layer optimization model, which successfully solves the contradiction between the active power grid connection of the PV grid connected inverter and the power quality control. The main objective of the proposed three-layer optimization model is to meet the requirements of active power output of PV power generation, and at the same time, to utilize the remaining capacity of the inverter to control harmonics and compensate reactive power. However, when the remaining capacity of PVMFGCI is sufficient, PVMFGCI can reasonably allocate the remaining capacity through the three-layer optimization model to meet the optimal power quality at the CCP. In this process, the power quality of the microgrid is improved. PVMFGCI provides reactive power compensation, harmonic control and other power quality problems. In addition, when the remaining capacity of PVMFGCI is insufficient, it only needs to maximize the active power and make the harmonic distortion rate and power factor meet the grid connection requirements, which improves the utilization rate of PVMFGCI. The proposed techniques are modeled and the IEEE 33 bus systems are analyzed and their performances are verified experimentally on a developed prototype, in PV output active power variation condition, imbalance loading condition for linear/nonlinear loads, where it has shown a very good performance. The effect of harmonic control and reactive power compensation at each node of the system is obvious. [ABSTRACT FROM AUTHOR]