
Capacity optimization of renewable energy microgrid considering hydropower cogeneration
Author(s) -
Lijun Fan,
Jiedong Cui
Publication year - 2021
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 - 10.1088/1742-6596/2083/3/032068
Subject(s) - renewable energy , cogeneration , photovoltaic system , electricity generation , process engineering , wind power , multiple effect distillation , microgrid , thermal energy storage , environmental science , automotive engineering , engineering , desalination , power (physics) , electrical engineering , chemistry , biochemistry , physics , quantum mechanics , membrane , ecology , biology
This paper proposes a renewable energy system based on photovoltaic power generation, wind power generation and solar thermal power generation, combining thermal power plants with low-temperature multi-effect distillation. Through the electric heater and the thermal storage system photovoltaic and wind power will spare capacity in the form of heat energy, at the same time by thermal power generation system to maintain the stability of the power supply, run under constant output scheduling policy, to the levelling of the smallest energy cost and the design of power rate of maximum satisfaction as the goal, using multi-objective particle swarm optimization (PSO) algorithm to find the best combination of capacity, this system is established. At the same time, combined with low-temperature multi-effect distillation, compared with reverse osmosis seawater desalination cost is lower, reduce energy consumption, has a good application prospect.