CAJ | 학술논문

电力载波通信技术是电力系统中的重要通信手段，针对电力载波通信中阻抗失配问题，提出一种基于量子粒子群算法的电力载波通信自适应阻抗匹配模型。采用?型网络结构，有效地消除了匹配禁区问题，能够快速精准地获得匹配结果。针对遗传算法收敛速度慢、优化精度不高的缺陷，对量子粒子群算法在非对称区间进行分层变异改进处理，并将其应用于自适应阻抗匹配元件参数值的优化。测试结果表明此方案在阻抗匹配的精度和时间方面都有很大的提高，解决了电力线阻抗变化的问题，满足了电力载波通信在精准性、高效性和实时性的要求，在工程实践中具有一定的理论意义和应用价值。
전력재파통신기술시전력계통중적중요통신수단，침대전력재파통신중조항실배문제，제출일충기우양자입자군산법적전력재파통신자괄응조항필배모형。채용?형망락결구，유효지소제료필배금구문제，능구쾌속정준지획득필배결과。침대유전산법수렴속도만、우화정도불고적결함，대양자입자군산법재비대칭구간진행분층변이개진처리，병장기응용우자괄응조항필배원건삼수치적우화。측시결과표명차방안재조항필배적정도화시간방면도유흔대적제고，해결료전력선조항변화적문제，만족료전력재파통신재정준성、고효성화실시성적요구，재공정실천중구유일정적이론의의화응용개치。
Power Line Communication(PLC)technology is an important communication method which has been extensively used in power system. In order to solve the impedance mismatch of PLC system, an adaptive impedance matching model for power line communication based on Quantum Particle Swarm Optimization(QPSO)has been proposed. With the help of ? type matching network, PLC system can effectively eliminate matching restricted areas and get very accuracy matching results and fast matching speed. Dealing with the asymmetrical region by the variation, an improved quantum particle swarm optimization algorithm is proposed. Compared with GA(Genetic Algorithm), QPSO is employed in the impedance match because of fast convergence and satisfactory solutions. Test results indicate that the accuracy and the velocity of impedance match for PLC have been greatly improved, which effectively overcome the impedance mismatch of PLC system. Therefore, it will provide a perfect significance and application value in the engineering practice.