Open AccessOptimal Scheduling of Park Integrated Energy System Based on Multi-energy Complementary
Author(s) -
Xiaoping Yang,
Youmin Cao
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 - 10.1088/1742-6596/1639/1/012045
Subject(s) - renewable energy , energy consumption , computer science , scheduling (production processes) , complementarity (molecular biology) , energy (signal processing) , mathematical optimization , environmental economics , engineering , electrical engineering , mathematics , economics , statistics , biology , genetics
For the park level integrated energy system with renewable energy access, in order to optimize the operation cost of the park and solve the problem of renewable energy consumption, this paper proposes a day ahead optimized scheduling model of the park integrated energy system, which provides an effective solution for renewable energy consumption by considering the coordination of energy conversion and energy storage equipment to achieve multi-energy complementarity. Finally, an example is given to verify the validity and feasibility of the proposed model.