Effective Development and Management Strategy for Distributed Smart Grids Based on Collective Intelligence

doi:10.11930/j.issn.1004-9649.202312024

Abstract

Abstract:

To overcome the challenge of accurately investing in the construction strategies of distributed smart grids under different resource endowments, an efficient development and management strategy for distributed smart grids based on collective intelligence was proposed. Firstly, relying on development planning data of massive distributed smart grids, the optimal index set for the development of distributed smart grids was constructed from three aspects of operation, planning, and development by using Ward agglomerative hierarchical clustering. Secondly, the corresponding probability distribution function was fitted according to the type of each index, and the index threshold interval was determined to achieve the objective scoring of each index. Then, the precise investment evaluation system for the development of distributed smart grids based on collective intelligence was constructed, and the horizontal and vertical difference degree of indexes was used to drive the re-weighting of collective intelligence, so as to achieve the rational evaluation of distributed smart grid construction strategy. Finally, the closed-loop feedback was formed by calculating the input-to-output ratio of the development planning, and efficient development and management of distributed smart grids was achieved. The rationality of the proposed system was verified by analyzing the development planning data of 10 000 groups in a province.

Key words: collective intelligence, distributed smart grids, development and management strategy, data drive, evaluation system

Zongchao YU, Ming WEN, Xianghua LI, Xintao XIE, Hongming YANG. Effective Development and Management Strategy for Distributed Smart Grids Based on Collective Intelligence[J]. Electric Power, 2024, 57(10): 57-68.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202312024

https://www.electricpower.com.cn/EN/Y2024/V57/I10/57

Figures/Tables 11

References 25

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维度	台区指标	线路指标
运行层	配变出口低电压频次（YX1）	主线路跳闸频次(YX1)
	配变过载频次（YX2）	分支线路跳闸频次(YX2)
	配变重载频次（YX3）	线路过载频次(YX3)
	配变停电投诉频次（YX4）	线路重载频次(YX4)
	低电压投诉频次（YX5）	停电投诉频次(YX5)
	配变缺陷隐患程度（YX6）	线路缺陷隐患程度(YX6)
		故障自愈成功率(YX7)
		线路线损率(YX8)
规划层	配变供电半径（WJ1）	线路供电半径(WJ1)
	配变高损耗率（WJ2）	线路联络情况(WJ2)
	台区两相供电（WJ3）	线路分段化(WJ3)
	台区线损率（WJ4）	线路绝缘化率(WJ4)
		线路电缆光纤覆盖率(WJ5)
发展层	配变运行年限（FZ1）	线路运行年限(FZ1)
	配变可开放容量（FZ2）	线路自动化覆盖率(FZ2)
	配变户均容量（FZ3）	线路可开放容量(FZ3)
	负荷发展需求率（FZ4）	负荷发展需求(FZ4)
		分布式资源渗透率(FZ5)

维度	台区指标	线路指标
运行层	配变出口低电压频次（YX1）	主线路跳闸频次(YX1)
	配变过载频次（YX2）	分支线路跳闸频次(YX2)
	配变重载频次（YX3）	线路过载频次(YX3)
	配变停电投诉频次（YX4）	线路重载频次(YX4)
	低电压投诉频次（YX5）	停电投诉频次(YX5)
	配变缺陷隐患程度（YX6）	线路缺陷隐患程度(YX6)
		故障自愈成功率(YX7)
		线路线损率(YX8)
规划层	配变供电半径（WJ1）	线路供电半径(WJ1)
	配变高损耗率（WJ2）	线路联络情况(WJ2)
	台区两相供电（WJ3）	线路分段化(WJ3)
	台区线损率（WJ4）	线路绝缘化率(WJ4)
		线路电缆光纤覆盖率(WJ5)
发展层	配变运行年限（FZ1）	线路运行年限(FZ1)
	配变可开放容量（FZ2）	线路自动化覆盖率(FZ2)
	配变户均容量（FZ3）	线路可开放容量(FZ3)
	负荷发展需求率（FZ4）	负荷发展需求(FZ4)
		分布式资源渗透率(FZ5)

线路类指标				台区类指标
编号	$ {N^ - } $	$ {N^ + } $	函数	编号	$ {N^ - } $	$ {N^ + } $	函数
YX1	0	3	③	YX1	1	5	③
YX2	1	9	③	YX2	0	5	③
YX3	0	3	②	YX3	1	9	②
YX4	0	5	①	YX4	0	5	①
YX5	0	4	①	YX5	0	3	①
YX6	10	90	②	YX6	10	90	②
WJ1	3 km	15 km	③	WJ1	100 m	1400 m	③
WJ2	0	1	①	WJ2	0	1	①
WJ3	1	3	②	WJ3	0	1	①
WJ4	10	90	①	WJ4	10	90	②
FZ1	10	35	③	FZ1	10	35	③
FZ2	0	1	①	FZ2	0	1	①
FZ3	0	1	①	FZ3	0.6	1.8	③
FZ4	0	1	①	FZ4	0	1	①

线路类指标				台区类指标
编号	$ {N^ - } $	$ {N^ + } $	函数	编号	$ {N^ - } $	$ {N^ + } $	函数
YX1	0	3	③	YX1	1	5	③
YX2	1	9	③	YX2	0	5	③
YX3	0	3	②	YX3	1	9	②
YX4	0	5	①	YX4	0	5	①
YX5	0	4	①	YX5	0	3	①
YX6	10	90	②	YX6	10	90	②
WJ1	3 km	15 km	③	WJ1	100 m	1400 m	③
WJ2	0	1	①	WJ2	0	1	①
WJ3	1	3	②	WJ3	0	1	①
WJ4	10	90	①	WJ4	10	90	②
FZ1	10	35	③	FZ1	10	35	③
FZ2	0	1	①	FZ2	0	1	①
FZ3	0	1	①	FZ3	0.6	1.8	③
FZ4	0	1	①	FZ4	0	1	①

编号	初始分数	增加分数	最终分数	投入经费/万元	产出比
#1	46.7	20.9	67.6	5.90	47.46
#2	56.1	16.9	73.0	5.67	41.48
#3	58.8	24.9	83.7	6.34	69.67
#4	45.6	18.7	64.3	8.56	40.49
#5	59.9	23.7	83.6	10.98	66.22