资源分布视角下区域保障调度模型研究

doi:10.12305/j.issn.1001-506X.2024.09.21

Abstract

Abstract:

In regional operations, equipment guarantee needs exhibit distribution characteristics, and guarantee supply also dynamically changes. How to match supply and demand and then guarantee shceduling has become the key to improving regional guarantee capabilities. Based on the distribution characteristics of regional resource supply and demand, the optimal transmission theory is applied to establish a regional guarantee scheduling model from the perspective of resource distribution. Firstly, a basic model of regional guarantee scheduling is constructed from a distributed perspective, and considered expanding it into a multi resolution model at the decision-making level. And then, a guarantee scheduling probability scheme is proposed based on the sinkhorn algorithm as a transformation, and provided a solution algorithm for the multi resolution model. Case analysis shows that under non exponential distribution and free competition environments, the guarantee scheduling scheme has robustness.

Key words: equipment guarantee, resource distribution, guarantee scheduling, optimal transmission

CLC Number:

TJ02

Zhigang HU, Jingjun LOU, Yuedong SHI. Research on regional guarantee scheduling model from the perspective of resource distribution[J]. Systems Engineering and Electronics, 2024, 46(9): 3093-3102.

Figures/Tables 12

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References 33

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保障机构	u_i	保障单元	X_ik, h_ik
X₁	30	X₁₁	[8, 22, 12]
		X₁₂	[16, 18, 11]
		X₁₃	[18, 13, 7]
X₂	30	X₂₁	[58, 22, 11]
		X₂₂	[55, 19, 11]
		X₂₃	[50, 15, 8]
X₃	20	X₃₁	[25, 8, 10]
X₃	20	X₃₂	[48, 9, 10]
X₄	20	X₄₁	[28, 23, 25]
X₄	20	X₄₂	[39, 22, 21]
X₅	20	X₅₁	[36, 19, 17]
X₅	20	X₅₂	[37, 18, 17]

保障机构	v_j	保障单元	y_jl, g_jl
Y₁	22	Y₁₁	[18, 18, 6]
		Y₁₂	[30, 19, 5]
		Y₁₃	[40, 18, 4]
		Y₁₄	[50, 19, 7]
Y₂	75	Y₂₁	[8, 26, 12]
		Y₂₂	[18, 28, 13]
		Y₂₃	[28, 27, 15]
		Y₂₄	[38, 26, 11]
		Y₂₅	[48, 28, 10]
		Y₂₆	[58, 27, 14]
Y₃	48	Y₃₁	[12, 22, 10]
		Y₃₂	[22, 21, 8]
		Y₃₃	[35, 21, 9]
		Y₃₄	[44, 22, 11]
		Y₃₅	[55, 22, 10]
Y₄	15	Y₄₁	[26, 13, 3]
		Y₄₂	[38, 13, 2]
		Y₄₃	[48, 13, 3]
		Y₄₄	[32, 8, 2]
		Y₄₅	[45, 8, 5]

θ_ji	Y₁	Y₂	Y₃	Y₄
X₁	1e-3	1	1	1e3
X₂	1e3	1e-3	1	1
X₃	1	1e3	1e-3	1
X₄	1	1	1e3	1e-3
X₅	1	1	1	1

类型	供应分布	需求分布	方案余弦距离的误差均值	方案方差的误差均值
供应分布不变，需求分布变化	normrnd(30, 2, 5, 1)	normrnd(30, 2, 1, 4)	0.993 6	0.384 2
	normrnd(30, 2, 5, 1)	exprnd(40, [1, 4])	0.722 0	31.967 9
	normrnd(30, 2, 5, 1)	unifrnd(30, 40, 1, 4)	0.996 0	0.402 4
供应分布变化，需求分布不变	normrnd(60, 2, 5, 1)	normrnd(30, 2, 1, 4)	0.996 5	0.166 4
	exprnd(40, [5, 1])	normrnd(30, 2, 1, 4)	0.580 6	92.287 2
	unifrnd(20, 40, 5, 1)	normrnd(30, 2, 1, 4)	0.966 7	3.444 8

类型	供应分布	需求分布	方案余弦距离的误差均值	方案方差的误差均值
供应分布不变，需求分布变化	normrnd(30, 2, 50, 1)	normrnd(30, 2, 1, 40)	0.993 2	0.000 33
	normrnd(30, 2, 50, 1)	exprnd(40, [1, 40])	0.508 8	0.477 0
	normrnd(30, 2, 50, 1)	unifrnd(30, 40, 1, 40)	0.991 2	0.004 2
供应分布变化，需求分布不变	normrnd(60, 2, 50, 1)	normrnd(30, 2, 1, 40)	0.994 5	0.002 0
	exprnd(40, [50, 1])	normrnd(30, 2, 1, 40)	0.547 0	0.784 9
	unifrnd(20, 40, 50, 1)	normrnd(30, 2, 1, 40)	0.962 9	0.032 2

Research on regional guarantee scheduling model from the perspective of resource distribution

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References 33

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