Research on Day Ahead Dynamic Reactive Power Optimization Based on Generator Operation

doi:10.12096/j.2096-4528.pgt.20046

Abstract

Abstract:

In order to solve the practical problem of 24-hours dynamic reactive power optimization in power system dispatching, this paper divided generator's operation into three regions in PQ mathematical model, according to the limit output range of generator's operation. Moreover, the action times of discrete control equipment were taken as global inequality constraints, and a complete 24-hours non-linear mixed integer dynamic reactive power optimization mathematical model was established. The simulation results show that the mathematical model in this paper can adjust the output of generators according to the actual situation effectively when the generators are in phase-leading operation. In addition, increasing the number of control equipment's action can reduce the loss of active power in the whole network, but at the same time, the frequent operation will greatly increase the probability of failure of equipment. It is necessary for us to find the appropriate constraints of the action number within the range of reliable acceptance of network losses, so as to save the comprehensive cost of the actual power grid operation.

Key words: dynamic reactive power optimization, generator safe operating limit, interior point method, power system dispatching

CLC Number:

TM74

Bin LU, Shan GAO, Desheng LI. Research on Day Ahead Dynamic Reactive Power Optimization Based on Generator Operation[J]. Power Generation Technology, 2021, 42(1): 122-130.

Figures/Tables 12

References 18

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参数	原对偶内点法		PSO
参数	二次罚函数	SHIN罚函数	PSO
迭代次数	71	86	224
计算时间/s	60.6	70.3	5 117.4
网损值/pu	0.097 1	0.095 0	0.094 8

参数	原对偶内点法		PSO
参数	二次罚函数	SHIN罚函数	PSO
迭代次数	71	86	224
计算时间/s	60.6	70.3	5 117.4
网损值/pu	0.097 1	0.095 0	0.094 8

参数		不考虑极限	考虑极限
平衡机	P_G2/MW	481.99	487.74
平衡机	Q_G2/(MV·A)	-143.89	-78.06
迭代次数		86	93
计算时间/s		70.367	82.238
网损值/pu		0.095	0.103 4

参数		不考虑极限	考虑极限
平衡机	P_G2/MW	481.99	487.74
平衡机	Q_G2/(MV·A)	-143.89	-78.06
迭代次数		86	93
计算时间/s		70.367	82.238
网损值/pu		0.095	0.103 4

C_x₁	有功网损/pu	计算时间/min
9及以下	—	—
10	5.223 6	152.01
11	5.132 0	143
12	5.027 1	133.2
13	4.722 5	78.17
14	4.719 4	72.3
15	4.718 9	76.1
16	4.718 5	75.53
17	4.717 2	74.09
18	4.715 3	68.01
19	4.712 8	65.8
20	4.712 2	64.28
21及以上	4.709 1	62.3
静态无功优化	4.703 6	18.35