A two-stage unit combined operation control method suitable for large-scale systems
A technology of unit combination and operation control, applied in the direction of information technology support system, power network operating system integration, single network parallel feeding arrangement, etc. Accuracy, quality-enhancing effects
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[0131]In order to demonstrate the effectiveness of the method, the system is tested on 10-100 units in 24 time periods. The relevant data of 20-100 units is obtained by copying the basic data of the system of 10 units and 24 time periods. Spinning reserve takes 10% of the total system load. The operating environment is: Intel Core i5 7200U, 2.8GHz, 4GB RAM, based on Matlab R2016A solution.
[0132] Compare the test results with other typical unit combination solution methods. The comparison algorithms include: the combination of dynamic programming and Lagrangian relaxation method, denoted as DPLR; extended priority method, denoted as EPL; improved particle swarm optimization, denoted as PSO; mixed integer linear programming method, denoted as MILP; Benders solution method, denoted as BDM.
[0133] Tables 1 and 2 show the detailed results of the proposed two-stage optimization method tested in a 10-machine system, where a is 0.3. Table 3 shows the power generation cost of ...
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