Abstract:
Grid-connected household nano-grids are playing a key role in meeting the rapidly increasing energy demand. A long-term optimal scheduling algorithm is proposed to better...Show MoreMetadata
Abstract:
Grid-connected household nano-grids are playing a key role in meeting the rapidly increasing energy demand. A long-term optimal scheduling algorithm is proposed to better organize the battery charging/discharging action in PV grid- connectedhousehold nano-grids. The algorithm is based on the rolling optimization method and the optimization problem is solved by the mixed integer linear programming. Moreover, a smoothing function is introduced to alleviate the power fluctuation of the exchanging power between the nano-grid and the main grid, caused by the intermittent PV generation and the stochastic residential loads. A battery and a supercapacitor, composing a hybrid energy storage system (HESS), are controlled to absorb the low and the high frequency components of HESS power respectively. The proposed energy management strategy has been validated by using practical PV and load data.
Published in: 2019 IEEE Power & Energy Society General Meeting (PESGM)
Date of Conference: 04-08 August 2019
Date Added to IEEE Xplore: 30 January 2020
ISBN Information: