Research On Reactive Power Optimization In Distribution Systems With Distributed Generation

Reactive power optimization is an effective measure of improvingthe power quality, decreasing network loss and enhancing power supplyreliability in distribution network. With the development of intelligentoptimization algorithm, an optimization algorithm which has goodconvergence and robustness is the important research direction on solvingthe reactive power optimization.Several typical distributed generations are introduced. Thedifference between typical network and network with distributedgeneration is analyzed. A load flow calculation method is detailedintroduced. After distributed generation access to distribution network,the influence on voltage and network is analyzed.On the basis of research on tradition multi objective reactive poweroptimization, a reactive power optimization mathematical model withdistributed generation is built up. The model mainly includes the activepower loss, voltage deviation and static voltage margin. An improvedimmune algorithm is proposed to solve reactive power optimization. Themulti-objective reactive power optimization problems which considerstatic voltage stability are tested. The results show that the algorithm hasglobal convergence reliability and faster convergence rateAt the end, aiming at the disadvantages of PSO are easy to fall intooptimal solution and premature. On the basis of previous studies, thispaper improves a Cloud adaptive PSO algorithm and puts forward to dealwith reactive power optimization. Based on the PSO, the algorithm isdynamic inertia weight optimization and makes a correspondingadjustment of the algorithm depending on the different situation. Thealgorithm accelerates the convergence speed and can get rid of the plightof local optimum. The results show that reactive power optimization canbalance economic and security of the system. We can also know that it can reduce power loss and improve voltage stability when distributedgeneration access to power grids.