Investigators from Kunming University of Science and Technology Have Reported New Data on Mathematics (Load Aggregator-based Integrated Demand Response for Residential Smart Energy Hubs)

Math Daily News |

2019 JUN 12 (NewsRx) -- By a News Reporter-Staff News Editor at Math Daily News -- Research findings on Mathematics are discussed in a new report. According to news reporting originating from Kunming, People’s Republic of China, by NewsRx correspondents, research stated, “In order to attract more flexible resource to take part in integrated demand response (IDR), this can be realized by introducing load aggregator-based framework. In this paper, based on residential smart energy hubs (S.E.”

Financial supporters for this research include National Natural Science Foundation of China, ADN Comprehensive Demonstration Project of Smart Grid Application Demonstration Area in Suzhou Industrial Park, Yunnan Provincial Talents Training Program, Scientific Research Foundation of Yunnan Provincial Department of Education.

Our news editors obtained a quote from the research from the Kunming University of Science and Technology, “Hubs), a two-level IDR framework is proposed, in which S.E. Hub operators play the role of load aggregators. The framework includes day-ahead bidding and real-time scheduling. In day-ahead bidding, S.E. Hub operators have to compete dispatching amount for maximal profit; hence, noncooperative game approach is formulated to describe the competition behavior among operators. In real-time scheduling, the dispatching model is formulated to minimize the error between real-time scheduling amount and bidding amount. Moreover, in order to reduce the influence of IDR on residential users, 4 categories of users’ flexible loads are modeled according to load consumption characteristic, and then these models are considered as the constraints in real-time scheduling. A case study is designed to validate the effectiveness of the proposed two-level IDR framework. And simulation results confirm that smart grid, S.E.”

According to the news editors, the research concluded: “Hub operators, and residential users can benefit simultaneously.”

For more information on this research see: Load Aggregator-based Integrated Demand Response for Residential Smart Energy Hubs. Mathematical Problems in Engineering, 2019;():. Mathematical Problems in Engineering can be contacted at: Hindawi Ltd, Adam House, 3RD Flr, 1 Fitzroy Sq, London, W1T 5HF, England. (Hindawi Publishing - www.hindawi.com; Mathematical Problems in Engineering - http://www.hindawi.com/journals/mpe/)

The news editors report that additional information may be obtained by contacting Z. Luo, Kunming University of Science and Technology, Fac Elect Power Engn, Kunming, Yunnan, People’s Republic of China. Additional authors for this research include W.J. Lv, J. Wu, M. Ding, H.J. Li, Q. Wang and X. Jiang.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1155/2019/6925980. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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