Open AccessThe optimal allocation of dispatchable resources considering the flexibility of microgrid
Author(s) -
Jinfeng Wang,
Fulong Zhu
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 - 10.1088/1742-6596/1678/1/012041
Subject(s) - microgrid , flexibility (engineering) , dispatchable generation , computer science , mathematical optimization , power balance , demand response , particle swarm optimization , renewable energy , point (geometry) , power (physics) , electric power system , reliability engineering , distributed generation , engineering , mathematics , electricity , physics , geometry , quantum mechanics , electrical engineering , statistics
In order to improve the ability of the microgrid to deal with uncertain interference and flexibly adapt to the frequent variability and strong uncertainty of renewable energy that is connected in high proportion, a method increasing the flexibility of the microgrid is proposed through the capacity configuration of power units of multiple types as well as the participation and response of demand side. From the point of view of supply and demand balance, the flexibility of microgrid is analyzed quantitatively. The particle swarm optimization algorithm is used to optimize the capacity configuration of the system, and the optimal dispatching model with the lowest operating cost and the maximum flexibility margin of the system is established with the capacity of multiple types of units and load response capacity as decision variables. The example analysis shows that this method can greatly improve the overall flexibility of the microgrid while ensuring that the system investment and operating costs are relatively small.