Optimal Allocation of Energy Storage Capacity in High Proportion Clean Energy Parks Considering Demand Response

doi:10.11930/j.issn.1004-9649.202302038

Abstract

Abstract:

In order to improve the level of clean energy consumption and the economy of energy storage allocation in parks, an optimal allocation method for energy storage capacity of high-proportion clean energy parks considering demand response is proposed. Firstly, the photovoltaic, wind turbine, and energy storage power models are established. Secondly, a demand response mechanism considering the participation of rigid, transferable and interruptible loads is designed to realize the transfer of loads under a certain time scale. Then, taking the lowest total net present cost of the system as the optimization goal, an energy storage economic allocation model is established with consideration of the constraints such as grid-connected power fluctuations and charge & discharge limits. Case study verifies the effectiveness of the proposed method, and the results show that compared to the traditional method, the proposed allocation method can effectively reduce the economic cost of the system and improve the level of clean energy consumption.

Key words: energy storage capacity configuration, flexible load adjustment capacity, grid-connected power change constraints, clean energy consumption level, demand response

Zhaojun JIANG, Yue XIANG, Zhukui TAN, Yongtao GUO, Yang WANG, Ke ZHOU. Optimal Allocation of Energy Storage Capacity in High Proportion Clean Energy Parks Considering Demand Response[J]. Electric Power, 2023, 56(12): 147-155, 163.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202302038

https://www.electricpower.com.cn/EN/Y2023/V56/I12/147

Figures/Tables 14

Fig.1 Annual wind speed data

Table 1 Economic and technical parameters of energy equipment

设备名称	容量	初始成本/元	运维成本/(元·h^–1)	使用周期/年
风机	30 kW	25000	0.02	30
光伏板	1 kW	2100	0.01	25
储能电池	51.6 A·h	150		20

Fig.2 Annual load curve of the park

Table 2 Different energy price parameters

种类	时段	价格/(元·(kW·h)^–1)
电价	00:00—09:00	0.07
	10:00—12:00	0.13
	13:00—17:00	0.19
	18:00—20:00	0.13
	21:00—23:00	0.19
补偿价格	0.10

Table 3 Energy storage parameters

额定电压/V		容量比		最大充电电流/A		最大放电电流/A		初始荷电状态/%		最大充电速率/(A·(A·h)^–1)
12		0.298		3900		4600		100		1

Table 4 Energy storage configuration and system performance

用电比例	时间颗粒度/min	储能数量/个	$ N_{\rm PC} $ /元	$ {f_{{\text{unmet }}}} $ /%	$ {f_{{\text{excess }}}} $ /%
10∶0	10	70	4651012	10.2	34.9
5∶5	10	62	4563475	30.2	33.9

Fig.3 Configuration of energy storage capacity under different time granularity

Fig.4 Economic energy efficiency operation of the system under different rigid and flexible load power ratio and time granularity

Fig.5 System energy storage configuration and energy efficiency operation under different rigid and flexible power consumption conditions

Fig.6 Economic operation of the system under different rigid and flexible power consumption conditions

Fig.7 Typical daily operation when the system's comprehensive performance is optimal

Table 5 Energy equipment and economic parameters when considering frequency standards

刚柔用电比例	额外储能/个	N_PC/元
10∶0	2549	4543287
5∶5	2453	4532387
0∶10	2479	4532787

Fig.8 Energy storage capacity configuration curve when rigid and flexible power consumption ratio is 5∶5

Fig.9 Influence of different rigid and flexible power consumption ratios on the energy consumption level of the plot

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