Cloud Energy Storage Service Mechanism Considering Multi-Agent Power Transaction

doi:10.12204/j.issn.1000-7229.2022.11.008

Abstract

Abstract:

In order to realize the commercialization of cloud energy storage business, on the premise of ensuring the best overall benefit of users, a cloud energy storage service mechanism considering multi-agent power transactions is proposed, and the value of matching energy storage resources with renewable energy is explored. This paper provides a new way of thinking for the commercialization of cloud energy storage by introducing a competition mechanism in electric energy trading, to encourage users to actively participate in services and improve user autonomy and transaction efficiency. Firstly, the architecture and business process of cloud energy storage service mechanism are designed according to the user’s energy consumption behavior. Secondly, a day-ahead power dispatching model and strategy with the goal of minimizing the net energy cost of users are constructed. Then, an electric energy trading bidding and matching strategy based on multiple rounds of collective bidding is established. On this basis, a default processing and fee settlement model is designed to clarify the benefits of each participant. Finally, a park is taken as an example to verify the effectiveness of the proposed service mechanism. The results show that this mechanism can realize the maximum local consumption of renewable energy, reduce the energy consumption cost of users, enable healthy competition among users, and achieve a win-win situation for all parties.

Key words: cloud energy storage service, bid matching, electric energy dispatch, renewable energy consumption

CLC Number:

TM734

WANG Miaomiao, LI Huaqiang, HE Yongxiang. Cloud Energy Storage Service Mechanism Considering Multi-Agent Power Transaction[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(11): 73-84.

Figures/Tables 14

Fig.1 Architecture of cloud energy storage platform

Fig.2 Business process of cloud platform service mechanism

Fig.3 Collective bidding rules

Table 1 Capacity information of each user’s devices

Fig.4 Actual operation scheme of the cloud energy storage

Fig.5 Comparison of total grid electricity purchases before and after users 1 to 5 participate in the service

Fig.6 The transaction price of electricity trading

Table 2 Trade marketing results

Table 3 Fee settlement of each participant

Fig.A1 Typical daily electricity load curve of user 1 to 4 in winter

Fig.B1 Typical daily photovoltaic power ratio curve in winter

Fig.B2 Typical daily fan power ratio curve in winter

Fig.C1 C Comparison of total power clearing before and after user 1 to 5 participate in the service

Table D1 Specific transaction information between supply and demand sides

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