Demand Response Strategy for Commercial Building Power Supply Conversion Entities Based on Alliance Chain Technology

doi:10.11930/j.issn.1004-9649.202309098

Abstract

Abstract:

Commercial buildings have abundant flexible resources and can effectively participate in demand response. However, widespread power supply conversion in commercial buildings can lead to insufficient enthusiasm for end users to participate in demand response. On the one hand the settlement information of demand response is not transparent and end users lack trust in the power supply conversion entities, on the other hand, the main power supply conversion entities have ignored the electricity utility of end users, and the incentive mechanism is unreasonable. To address above issues, by applying the alliance chain technology to the demand response of commercial building power supply conversion, this article constructs an alliance chain-based commercial building power supply conversion demand response system to achieve decentralized and reliable transfer of demand response. Based on the electricity consumption characteristics of public areas and end users in the context of power supply conversion, a demand response strategy is proposed with consideration of the power supply conversion characteristics of commercial buildings. The proposed alliance chain system was validated in a small commercial building environment in Nanjing, achieving transparent transaction and settlement functions of the alliance chain in the demand response process of commercial buildings. At the same time, simulation results show that the proposed strategy successfully reduces the electricity consumption cost of the power supply conversion entities by 33.6%, confirming the effectiveness of the proposed strategy.

Key words: commercial building, alliance chain, power supply conversion entities, demand response strategy

Zhihui TANG, Xin ZHANG, Yifei NING, Huang HUANG, Kun YU, Haochen HUA, Jiawei CAO, Yuntian ZHENG. Demand Response Strategy for Commercial Building Power Supply Conversion Entities Based on Alliance Chain Technology[J]. Electric Power, 2024, 57(12): 109-119.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202309098

https://www.electricpower.com.cn/EN/Y2024/V57/I12/109

Figures/Tables 11

Fig.1 Demand response business relationship in power supply conversion scenarios

Fig.2 Alliance chain-based commercial building power supply conversion demand response system architecture

Fig.3 Optimization algorithm flow chart for double-layer game model

Fig.4 Outdoor temperature and solar irradiance

Fig.5 Base load without demand response of different users

Fig.6 Base load without demand response of public areas

Fig.7 Iteration result of power supply conversion price optimization

Table 1 Power supply conversion electricity prices after optimization

时段	参与需求响应优化后电价/(元·(kW·h)^–1)	未参与需求响应优化后电价/(元·(kW·h)^–1)
09:00—10:00	1.28	1.28
10:00—11:00	1.28	1.31
11:00—12:00	1.26	1.31
12:00—13:00	1.28	1.30
13:00—14:00	1.31	1.31
14:00—15:00	1.30	1.26
15:00—16:00	1.32	1.32
16:00—17:00	1.30	1.30
17:00—18:00	1.25	1.26
18:00—19:00	1.22	1.31
19:00—20:00	1.26	1.22
20:00—21:00	1.21	1.31
21:00—22:00	1.21	1.21
22:00—23:00	1.31	1.31

Table 2 Electric vehicle charging capacity after optimization

车辆	期望充电量/(kW·h)	实际充电量/(kW·h)
1	30	27.6
2	20	18.5
3	15	12.9

Fig.8 Load of public areas

Fig.9 Total user load

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