Integrated Energy Allocation Model Based on Multi-Energy Load-Storage Coordination

Konferenz: EMIE 2022 - The 2nd International Conference on Electronic Materials and Information Engineering
15.04.2022 - 17.04.2022 in Hangzhou, China

Tagungsband: EMIE 2022

Seiten: 4Sprache: EnglischTyp: PDF

Autoren:
Fan, Chuanguang; Ye, Cheng (Power China Hubei Electric Engineering Co., Ltd., Wuhan Hubei, China)
Zhou, Bin; Wang, Feng (State Grid Hubei Electric Power Co., Ltd., Wuhan Hubei, China)

Inhalt:
In view of the fuzziness and randomness of distributed generation and load, the common uncertain power flow analysis method of power system is used to deal with the uncertain variables with regularity and specific probability distribution. In this paper, the concept of the stochastic fuzzy model is proposed, and the stochastic fuzzy model of the source and load part is established. Based on the stochastic fuzzy theory, the energy flow relationship of the multi-energy system containing electricity, heat, gas, and other forms of energy is modeled. The improved semi-invariant method is used to solve the uncertain hybrid power flow. The semi-invariant algorithm is used for the joint decentralized solutions, and the effectiveness of the proposed planning method in multi-area and the multi-energy system is verified by a simulation example. It is proved that the research method in this paper is of great significance to the collaborative planning of regional multienergy systems and the energy regulation and operation management of the whole system.