Reactive power optimal scheduling of distribution network based on improved sine-cosine algorithm

doi:10.3969/j.issn.2097-0706.2024.10.006

Abstract

Abstract:

The integration of distributed photovoltaic （PV） systems into the grid significantly impacts power flow distribution and node voltage， posing challenges to the safe operation of the distribution network. Therefore， effectively optimized control on distribution networks with integrated distributed PV has become a pressing issue. A reactive power optimization method based on an improved sine-cosine algorithm （ISCA） is proposed， designed to reduce node voltage deviation and active power loss while accounting for the reactive power output of the distributed PV system. A corresponding objective optimization model was constructed. The ISCA improved the traditional sine-cosine algorithm by incorporating Lévy flights， elite selection strategies， and greedy algorithms， thereby enhancing both the global and local search capabilities. Simulation experiments conducted on an IEEE 33 system with multiple distributed PV stations showed that ISCA significantly reduced node voltage deviation and active power loss. This method ensures the safe and economical operation of distribution networks with distributed PV stations，and demonstrates superior optimization performance compared to other algorithms.

Key words: distributed power generation, reactive power output, improve sine-cosine algorithm, voltage deviation, active power loss, "dual carbon" target

CLC Number:

TK01

QIAN Da, CHEN Hao, MA Gang. Reactive power optimal scheduling of distribution network based on improved sine-cosine algorithm[J]. Integrated Intelligent Energy, 2024, 46(10): 40-47.

Figures/Tables 16

Fig.1

Fig.2

Table 1

Canonical function

函数序号	函数	维度	范围
1	$F 1 = ∑ i = 1 n x i 2$	10	[-100,100]
2	$F 2 = m a x x i, 1 ≤ i ≤ n$	10	[-100,100]
3	$F 3 = ∑ i = 1 n i x i 4$	10	[-1.28,1.28]
4	$F 4 = ∑ i = 1 n x i 2 4 000 - ∏ i = 1 n 1 + c o s x i i$	10	[-600,600]

Table 1

Table 2

Optimization result

函数	项目	ISCA	SCA	WOA	GWO
$F 1$	平均值	1.985×10^-16	9.818×10^-13	0.131 52	1.792×10^-5
$F 1$	标准差	6.581×10^-16	4.980×10^-12	0.076 74	2.236×10^-5
$F 2$	平均值	0.000 25	0.032 53	1.114 10	0.009 20
$F 2$	标准差	0.000 58	0.018 84	0.579 44	0.007 75
$F 3$	平均值	0.001 46	0.004 07	0.020 14	0.032 39
$F 3$	标准差	0.001 16	0.002 04	0.014 24	0.023 15
$F 4$	平均值	0.030 20	0.065 68	0.145 00	0.769 17
$F 4$	标准差	0.057 23	0.079 94	0.150 05	0.194 83

Table 2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

Fig.9

Fig.10

Fig.11

Table 3

Fig.12

Table 4

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方案	有功网损/MW	减少率/%
优化前	4.979 2
WOA	4.602 3	7.60
GWO	4.578 2	8.06
ISCA	4.418 7	11.26

方案		有功网损/MW	减少率/%
IEEE 69	优化前	5.839 6	0
IEEE 69	优化后	4.929 4	15.58
IEEE 118	优化前	9.633 9	0
IEEE 118	优化后	8.286 1	13.99