Open AccessBenefit Models and Optimization Clearing Model for Participants in Cloud Energy Storage
Author(s) -
Yanzheng Wu,
Junpeng Zhu,
Yaojing Yue
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1659/1/012043
Subject(s) - cloud computing , computer science , energy storage , renewable energy , cloud storage , distributed computing , profitability index , flexibility (engineering) , distributed generation , scheduling (production processes) , mathematical optimization , particle swarm optimization , energy consumption , simulation , engineering , algorithm , operating system , electrical engineering , power (physics) , economics , physics , mathematics , management , finance , quantum mechanics
Energy storage can smooth the fluctuation of renewable energy sources and has the characteristic of flexibility, which makes it an important dispatching resource in distribution network. In order to promote the consumption of renewable energy sources and the reasonable configuration of energy storage resources, this paper expands the basic concept of cloud energy storage and puts forward an operation mechanism involving customers, distributed generation operators and the cloud energy storage operator. According to the commercial mode described, we analyze the benefits of the three parties, establish the opportunity cost model on the consumer side and the benefit models of the three parties. Then we propose the energy storage scheduling strategies, use an optimal scheduling model to solve the pricing and clearing problems of cloud energy storage and solve it with the multi-object searching algorithm based on particle swarm optimization algorithm. At last, the case study shows that the method proposed can effectively improve the overall benefits of cloud energy storage participants on the basis of satisfying the load demand of the customers and ensuring the profitability of distributed generation operators.