Oilfield Distribution Network Harmonic Analysis And Passive Power Filter Optimization

With the widely use of power electronics equipment in the distribution network, some negative influences on harmonic distortion, normal operation of electrical equipment and reliability of power system, become increasingly obvious. It is an important research topic that accurate analysis and calculation of harmonic components of the distribution network, controlling the level of harmonic distortion and reasonable harmonic management. As the passive filter has some advantages such as simple structure, low cost and convenient maintain, it is still the most common means to control harmonic distortion at present.Based on the characteristics of oilfield distribution network and the basic theory of harmonic, this paper has researched the basic structure of the passive filter and related parameters of the filtering performance. By analyzing the generation mechanism of harmonic, the paper has established the harmonic source model and the operation model, in which transformers, transmission line, the load and other components of the network operate in the conditions of the harmonic circumstance. Making use of decoupling of Fundamental power flow and harmonic power flow, the paper utilizes the method of separation and iterative for Fundamental and harmonic power in order to calculate the harmonic parameter and analyze the harmonic in the network.Then in consideration of the economic indicators, harmonic suppression and the safe operation, the paper establishes optimal allocation model, which makes investment costs of the filter as the objective function. The paper analyzes the fuzzy sets decision-making theory, and a method based on the inherent structure of the network to determine the optimal installation location of the filter. Besides, the paper has researched the Particle Swarm Optimization and the Meliorated Particle Swarm Optimization, applied them to the filter optimization, and designed the corresponding algorithm program. Finally, a practical example of oilfield distribution network is involved to check the design. By comparing the results of PSO and that of genetic algorithm we can verify the correctness of this algorithm and program and draw relevant conclusions.