The Progress Optimization Study Of Xi Laifeng2×200MW Units Debugging Project Of Guohua Corporation

The power industry is the basic industry of national economy, and it related to the sustained and stable development of China’s economy. The unit debug link is a top priority in power construction projects, through debugging to ensure that the operation of units is safe, reliable and economic is a key program to play the investment returns. However, debugging the project construction conditions are complex, large-scale, involving professional involved in a wide range, with a strong practicality, complexity, diversity, risk and continuity characteristics. To optimize and control the progress of debugging project, and ensure the commissioning work is completed on schedule is an important topic of project management.Through reading quantities of references, we get acknowledge of domestic and international research status in the field of debug project schedule optimization; then, we firstly analysis the specific process of debugging during the project to the#1unit, and constructed the standard bar chart of Guohua Xi Laifeng2×200MW units debug program, the picture visually display the debugging project specialized division of labor; in addition, according to the debugging outline, we sort out the logical relationship and established logic dual code network diagram of1#unit in the Guohua Xi Laifeng2x200MW unit commissioning project; Then, the paper selected47key processes from he original logical relationship, and combined with its debugging project quota, set up the optimized model, what’s more,we use the particle swarm optimization algorithm to optimize; The results show that after particle swarm optimization algorithm#1unit in the selected process optimization, cost savings of303,200yuan, and shorten the construction period of53days, the optimized objective function has better convergence, convergence is faster. The results demonstrate that the optimization problem of the applicability of particle swarm optimization algorithm in the unit to debug the project duration, and provides a new way of thinking to the solution of debugging project schedule optimization problem.