Optimization strategy of microgrid responding users' bounded rational demand

doi:10.3969/j.issn.2097-0706.2022.11.006

Abstract

Abstract:

Microgrid aggregates power sources，energy storage equipment and terminals and coordinated schedules their operation， in order to achieve resources optimization. Since the decision-making of electricity users is not completely rational in general，a bounded rationality optimization model for decision-making on electricity consumption is established based on the transferable electricity usage and the span of transfer. The half-Γ-shaped membership degree function is used to address the fuzzy relationship and varied dimensions between microgrid operation cost function and bounded rationality optimization function.Finally，a GOJaya（Global Optimization Jaya）algorithm with global optimization capability is proposed，which improve the search speed in the early stage and search inaccuracy in the later stage of the conventional algorithms.The results show that the proposed optimization strategy has good applicability in microgrid optimized operation，and the GOJaya algorithm is superior to Jaya algorithm and GA algorithm in solving speed and accuracy.

Key words: microgrid, demand response, bounded rational decision, multi-objective optimization, optimization strategy, GOJaya algorithm

CLC Number:

TM73:TK01

XU Zhirong, ZHANG Gaorui. Optimization strategy of microgrid responding users' bounded rational demand[J]. Integrated Intelligent Energy, 2022, 44(11): 43-49.

Figures/Tables 11

Fig.1

Fig.2

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Table 1

Parameters of devices in the microgrid

参数类型	参数	取值
DEG	a/(元·kW^-2·h^-1)	0.002 68
	b/[元·(kW·h)^-1]	0.402 6
	c/元	0
	$k D E G$ /[元·(kW·h)^-1]	0.161 0
	$P D E G, t, m i n$ / $P D E G, t, m a x$ /kW	20/100
	$c S U$ / $c S D$ /元	35/20
BS	$η c h$ / $η d i s$	0.96/0.96
	$f S O C, m i n$ / $f S O C, m a x$	0.05/0.98
	$k B S$ /[元·(kW·h)^-1]	0.083 2
PV	$k P V$ /[元·(kW·h)^-1]	0.004 0

Table 1

Table 2

Fig.4

Fig.5

Fig.6

Table 3

Fig.7

Table 4

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时段	区间划分	购电价	售电价
峰	11:00—15:00	0.83	0.65
	18:00—22:00
	07:00—11:00
平	15:00—18:00	0.49	0.38
平	22:00—24:00	0.49	0.38
谷	24:00—07:00	0.17	0.13

优化策略	f₁/元	f₂	f
1	1 925.80	1.00	0.56
2	1 680.93	0.56	0.65
3	1 462.42	0.81	0.79

算法	收敛时间/s	迭代次数	最优解/元
GA	70.27	261	1 724.63
Jaya	60.37	248	1 658.27
GOJaya	49.42	191	1 462.42