Open AccessResearch on Multi-Objective Optimization of Household Photovoltaic Energy Storage and Grid System
Author(s) -
Zhen Zhou,
Liu Mei-feng
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/804/3/032059
Subject(s) - photovoltaic system , energy storage , grid , computer science , mathematical optimization , electricity , computer data storage , genetic algorithm , matlab , limit (mathematics) , electric power system , distributed generation , scheduling (production processes) , power (physics) , renewable energy , engineering , electrical engineering , mathematics , mathematical analysis , physics , geometry , quantum mechanics , operating system
With the integration of large-scale photovoltaic systems, many uncertainties have been brought to the grid. In order to reduce the impact of the photovoltaic system on the grid, a multi-objective optimal configuration strategy for the energy storage system to discharge electricity into the grid is proposed. On the basis of the time-of-use electricity price, the total load variance and the user’s profits are taken as two objective functions. Constraints such as the maximum discharge power limit of the energy storage system are taken into account and a multi-objective optimal scheduling model for the centralized discharge of the energy storage system is established. A multi-objective genetic algorithm is used to solve the optimization model. The calculation results of MATLAB verify the feasibility and effectiveness of the strategy and the influence of different energy storage system capacities on the optimization results are also analyzed.