Patent Document ID: 10037502
Application ID: 14648249
Patent Flag: 1

Claim One:
1. A method of conducting maintenance to an electric power system with a large-scale wind power plant based on an optimized maintenance schedule that ensures maximum efficiency of wind power generation, the method consisting of the steps of: building an objective function by using a computer processor; modelling the electric power system with heuristic algorithm according to the objective function by using the computer processor and received input information on number of wind turbines, geographical distribution, conditions about manpower and material resources, and historical year round power output data of the wind power plant; outputting the optimized maintenance schedule to an output device; and conducting maintenance according to the optimized maintenance schedule; wherein the objective function is: 
 C Km =C m −L m·max −R Rm −R Sm , minimum wind curtailment electric quantity of wind power in a common year is: min ⁢ { E WMQ | min ⁢ { 1 12 ⁢ ∑ m = 1 12 ⁢ ⁢ [ C Km - 1 12 ⁢ ∑ m = 1 12 ⁢ C Km ] 2 } } ; wherein: C Km is spare capacity of the electric power system of the m month in a common year; C m is available generating capacity of the electric power system after deducting unit maintenance capacity of the m month in common year; L m·max is the maximum load of the electric power system on maximum load day of the m month in the common year; R Rm and R Sm refer to spinning reserve capacity and shutdown reserve capacity of the electric power system of the m month in common year; E WMQ is unused electric quantity of wind turbine maintenance; in order to obtain optimal results, constrains conditions are imposed to the objective function, the constraint conditions comprise: constrain conditions according to maintenance natural environment; constrain according to maintenance time of the wind power plant; constrain conditions according to maintenance site of the wind power plant; constrain conditions according to system reliability at the wind power plant; constrain conditions according to maintenance continuity of generator units; under the above constraint conditions, modelling the electric power system with heuristic algorithm according to the objective function; wherein the constraint conditions on maintenance time for wind power plant are: 30 ⁢ ∑ m = 0 11 ⁢ ⁢ n Mim = N WRi ⁢ D Wi ; wherein, the constraint on maintenance site of the wind power plant refers to: 
 n WRim ≤ n Mi ≤N Wim ; the constraint conditions on reliability of the wind power system refers to: 
 R m ≥R min the constraint conditions on maintenance continuity of generator units refers that the units, maintenance time of which exceeds one month should be maintained in next successive month; in the above formula, “i” represents the wind power plant and N WRim is number of the units in the wind power plant “i” that have to be maintained in a common year; N Wim is count of machine of the wind power plant “i” of the m month in a common year; n Mi and n WRim refer to the constrained number of units arranged to be maintained and number of the actually maintained units of the wind power plant “i” in the m month; D Wi is the average days needed to maintain each generator unit of the wind power plant “i” of the m month in a common year; Rm is the spinning reserve capacity of the electric power system of the m month in a common year; Rmin is the minimum requirement for spinning reserve capacity of the electric power system in a common year; and wherein the modeling steps are as follows: step 1: dividing all wind turbines into N batches for maintenance according to the number of the wind turbines, geographical distribution and conditions about manpower and material resources at the wind power plant; step 2: drawing a curve on output assurance rate of the wind power plant in each month all the year round according to output historical data all the year round of the wind power plant; step 3: calculating generating capacity of the wind power plant in each month all the year round according to confidence level of wind power output of the wind power plant; step 4: finding the month for minimum generating capacity and the month for second minimum generating capacity according to generating capacity of the wind power plant in each month all the year round, recorded as m 0 and m 1 ; step 5: calculating reserve power capacity R 0 and R 1 in the above m 0 and m 1 ; step 6: if the above R 0 ≥R 1 , it means that power supply of the electric power system in m 0 is more reliable, so that a batch of wind turbines needs to be arranged to be maintained in this month; step 7: if R 0 <R 1 , comparing overall technique-economy of the electric power system, selecting the month that is of a good technique-economy to maintain the units; step 8: if maintenance of all the wind turbines has been arranged, outputting the result of maintenance schedule, otherwise turning to step 4 and keeping maintaining until the maintenance is completed.