Optimal Configuration of Distribution Network Filter Devices Based on Interaction of Multiple Harmonic Sources

Abstract

For preventing the defects that multiple harmonic sources in an intelligent electric power system mutually influence each other, phenomena of mutual superposition, counteraction or attenuation and the like of harmonic waves may occur, and the safe, stable and economic operation of a power distribution network is seriously threatened, the invention discloses the study of suppressing harmonic waves for the power distribution network with the multiple harmonic sources by using an improved self-adaptive fuzzy particle swarm algorithm. The improved algorithm adopts a self-adaptive inertia coefficient for adjusting an inertia weight coefficient; an individual optimal weighted mean of all particles in the speed and position updating process of the particle swarm algorithm is used for replacing a global optimum value; the guide performance of all individuals on the group activities is considered for regulating the speed and the position of the particles; and the particle position upgrading is subjected to fuzzy control, so that the algorithm can be effectively prevented from falling into the local optimum. The simulation result shows that the algorithm has the advantages that the installing places and corresponding parameters of active and passive filtering devices can be optimized in a unified way in a given power grid range; the system loss is reduced; and the goal of effectively suppressing the harmonic waves is achieved.

Description

technical field [0001] The invention relates to the uniform optimization of installation locations and corresponding parameters of active and passive filtering devices within the scope of a distribution network, reducing system loss and keeping voltage, power factor, etc. within specified ranges. Background technique [0002] In the smart grid, many types of power sources (wind energy, solar energy and other energy inputs and internal combustion engines, energy storage systems and other energy conversion units, etc.) have strong operational uncertainty and are characterized by intermittency, complexity, diversity, and instability. , its power quality characteristics are very different from those of traditional power systems. More and more distributed power sources and power quality adjustment devices have penetrated into the distribution system infrastructure, which makes the single-phase power flow in the traditional power grid face the problem of bidirectional power flow, a...

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Problems solved by technology

[0002] In the smart grid, many types of power sources (wind energy, solar energy and other energy inputs and internal combustion engines, energy storage systems and other energy conversion units, etc.) have strong operational uncertainty and are characterized by intermittency, complexity, diversity, and instability. , its power quality characteristics are very different from those of traditional power systems. More and more distributed power sources and power quality adjustment devices have penetrated into the distribution system infrastructure, which makes the single-phase power flow in the traditional power grid face the problem of bidirectional power flow, and Cause harmonics to interact with each other; when multiple harmonic sources act at the same time, the internal harmonics of the smart grid are very complicated due to the different frequencies, amplitudes, and phases of the harmonics, as well as the influence of the harmonics during transmission. , bringing serious harmonic pollution, especially the interaction coupling effect of multi-inverter devices, which will cause harmonic amplification. running and causing huge economic losses; installing filters in users or power grids is an effective measure to suppress harmonics, which can reduce and control harmonic currents injected into the power grid and compensate for reactive power losses, so that the distribution network The harmonic voltage of each node meets the corresponding harmonic standard

[0003] In order to adapt to the random changes of harmonic sources and network parameters, considering the comprehensive optimal configuration of the two filters is the current trend of harmonic suppression measures in power quality engineering; affected by the complexity of the actual power grid operation, it is difficult to install an APF to meet the requirements of the entire network. The harmonic constraints of multiple APFs can be considered for the optimal configuration of multiple APFs. Compared with other traditional algorithms, the particle swarm optimization algorithm has the advantages of simple operation, less dependent empirical parameters, fast speed and strong optimization ability, but it has a late convergence speed. Slow, low optimization precision and easy to fall into local optimum; fuzzy theory is an effective mathematical tool for studying uncertain problems, with good flexibility and strong adaptability. In this paper, the multi-objective function optimization of the filter is carried out Based on the analysis and application of fuzzy theory, an improved adaptive fuzzy particle swarm optimization algorithm is proposed to solve this complex multi-objective optimization problem.

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