MENG Fanqi, WANG Peng, WANG Haili, et al. Optimal allocation of electric-hydrogen hybrid energy storage in areas with high proportion of hydropower[J]. Thermal power generation, 2024, 53(9): 126-135.
DOI:
MENG Fanqi, WANG Peng, WANG Haili, et al. Optimal allocation of electric-hydrogen hybrid energy storage in areas with high proportion of hydropower[J]. Thermal power generation, 2024, 53(9): 126-135. DOI: 10.19666/j.rlfd.202403049.
Optimal allocation of electric-hydrogen hybrid energy storage in areas with high proportion of hydropower
Affected by the rapid electricity load growth and the increase of water uncertainty under extreme weather conditions
the contradiction between supply-side and demand-side volatility in areas with high hydropower proportion has become increasingly prominent. The demand for flexible resources with long-term regulation capability is becoming more urgent. Hydrogen energy storage with long-term regulation capacity can alleviate the tense situation of supply and demand in areas with high proportion of hydropower. The research designs an optimal allocation model of electric-hydrogen hybrid energy storage
which is suitable for areas with high hydropower proportion. The loss of load penalty function is introduced into the objective function
and the variation of generation capacity of large/small and medium-sized hydropower units with time is quantified. By taking the power system composed of 96 different types of generators in a high hydropower proportion area as the object
analysis is performed. Compared with the current energy storage configuration requirements
the optimization result of the model increases the hydropower consumption by 7 188 MW·h
reduces the unloaded electricity by 6 513 MW·h
and reduces the total cost by 3.194 million yuan. Moreover
the demand scale of different types of energy storage and the income of energy storage enterprises in high hydropower area
high thermal power area and high new energy area are compared horizontally. The relevant conclusions can provide reference for the development of energy storage investment in the future.