响应用户有限理性需求的微电网优化策略

doi:10.3969/j.issn.2097-0706.2022.11.006

摘要/Abstract

摘要：

微电网可聚合配网侧电源、储能以及用户负荷等设备，以统一调度协调运行方式实现资源最大化利用。针对用户用电决策行为普遍是有限理性而非完全理性的问题，建立了基于用电转移量以及用电转移跨度的用户用电决策有限理性优化模型。利用降半Γ形隶属度函数解决微电网运行成本函数以及有限理性优化函数之间具有不同量纲以及优化关系模糊的问题。最后，提出了一种具备全局优化能力的GOJaya（Global Optimization Jaya）算法，避免了常规求解算法的前期搜索速度慢及后期搜索精度差的问题。算例结果表明，所提出的优化策略在微电网优化运行中有很好的适用性，在求解速度以及求解精度上GOJaya算法均优于Jaya算法和遗传算法。

关键词: 微电网, 需求响应, 有限理性决策, 多目标优化, 优化策略, GOJaya算法

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

中图分类号:

TM73:TK01

许志荣, 张高瑞. 响应用户有限理性需求的微电网优化策略[J]. 综合智慧能源, 2022, 44(11): 43-49.

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

图/表 11

图1

图2

图3

表1

微电网设备参数值

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

表1

表2

图4

图5

图6

表3

图7

表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