Open AccessOptimal Planning Method for Distributed Wind/Solar/Battery Intergraded Microgrid
Author(s) -
Quing Zhu,
Jiahe Wei,
Liqun Ren,
Jin Yuxu,
Dan Zhou,
Qian Jiayao,
Jiang Tianyu
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 - 10.1088/1742-6596/1659/1/012024
Subject(s) - microgrid , computer science , photovoltaic system , mathematical optimization , energy storage , reliability engineering , randomness , battery (electricity) , renewable energy , turbine , wind power , solar resource , reliability (semiconductor) , key (lock) , grid , power (physics) , engineering , electrical engineering , mathematics , mechanical engineering , statistics , physics , geometry , computer security , quantum mechanics
The high cost and randomness of intermittent renewable energy make the planning, integration and operation of power system more and more complicated. Therefore, determining the appropriate resource scale and related energy storage is the key to the efficient, economic and reliable operation of power system. In this study, two constraint based iterative search algorithms are proposed to optimize the scale of wind turbine (WT), solar photovoltaic (PV) and battery energy storage system (BESS) in microgrid grid connected configuration. The first algorithm is called resource size algorithm to determine the optimal size of resources; the second algorithm is called battery scale algorithm to determine the optimal capacity of BESS. These algorithms are mainly based on two key elements: maximum reliability and minimum cost. In this method, all possible solutions are searched in a given search space to avoid over and too small. At the same time, the forced outage rate of PV and the utilization rate of WT and Bess are considered to make it more practical. The simulation results show the effectiveness of the method.