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Multi-energy coordinated optimization for both supply and demand sides of energy internet system
Joint Authors
Dai, Ning
Zhu, Hairong
Yan, Xinli
Li, Hongwei
Source
Issue
Vol. 14, Issue 2 (30 Jun. 2018), pp.77-87, 11 p.
Publisher
Publication Date
2018-06-30
Country of Publication
Algeria
No. of Pages
11
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Abstract: The energy Internet based industrial revolution will become the key technical means to promote the transformation and development of China's energy industry.
To solve the problem of the randomness of supply and demand in current power system, the theory of synergetic controllability of both supply and demand sides was put forward in this paper.
The synergetic optimization model has been established based on the complementary supply network of the electricity and the thermal energy by taking the environmental cost of investment and operation as the optimal objective.
The teaching-learning based optimization algorithm (TLBO) was used to solve this multi-objective nonlinear programming model.
The test system proves that the proposed model can realize the bilateral collaborative optimization of supply and demand.
It shows strong performance and proposes a new idea to solve these energy Internet problems.
American Psychological Association (APA)
Li, Hongwei& Zhu, Hairong& Dai, Ning& Yan, Xinli. 2018. Multi-energy coordinated optimization for both supply and demand sides of energy internet system. Journal of Electrical Systems،Vol. 14, no. 2, pp.77-87.
https://search.emarefa.net/detail/BIM-835162
Modern Language Association (MLA)
Li, Hongwei…[et al.]. Multi-energy coordinated optimization for both supply and demand sides of energy internet system. Journal of Electrical Systems Vol. 14, no. 2 (2018), pp.77-87.
https://search.emarefa.net/detail/BIM-835162
American Medical Association (AMA)
Li, Hongwei& Zhu, Hairong& Dai, Ning& Yan, Xinli. Multi-energy coordinated optimization for both supply and demand sides of energy internet system. Journal of Electrical Systems. 2018. Vol. 14, no. 2, pp.77-87.
https://search.emarefa.net/detail/BIM-835162
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 87
Record ID
BIM-835162