Abstract
In view of the uncertainty and volatility of wind power generation and the inability to provide stable and continuous power, this paper proposes a hydrogen storage wind-gas complementary power generation system, using Matlab/Simulink to simulate and model wind generators and gas turbines. Considering the economy and power supply reliability of the wind-gas complementary power generation system, and taking the economic and environmental cost of the system as the objective function, the capacity optimization model of the wind-gas complementary power generation system is established. The brain storming algorithm (BSO) is used to solve the optimization problem, and the BSO algorithm is used to optimize the BP neural network, which improves the accuracy of the BP neural network for load forecasting. Finally, a simulation is carried out with load data in a certain area, and the simulation verification verifies that BSO-BP can improve the accuracy of load forecasting and reduce the error of load forecasting. Multi-objective optimization of system economic cost and environmental cost through BSO algorithm can make the system cost reach the most reasonable level. Through the analysis of the calculation examples, it is verified that gas-fired power generation can effectively alleviate the volatility of wind power generation, showing the role and advantages of energy complementary power generation. Therefore, the wind-gas complementary system can effectively increase energy utilization and reduce wind curtailment.
Highlights
In order to cope with environmental pollution and energy shortages, China is developing rapid new energy technologies
brain storming algorithm (BSO) algorithm is an optimization algorithm obtained by abstracting the brainstorming process
Each idea in the brainstorming process is abstracted in the algorithm as an individual in the optimization problem solution space, and the set of individuals is represented as a viable solution to the optimization problem
Summary
In order to cope with environmental pollution and energy shortages, China is developing rapid new energy technologies. Literature (Tan et al, 2021) proposes a windsolar-water hybrid power generation system, which uses different energy sources to complement each other, reduces the impact of wind and solar fluctuations on electric energy, and improves the quality of power output from the grid. When the natural gas supply is insufficient, priority will be given to limiting the natural gas supply of gas-fired units, limiting the variation range of their output power, thereby reducing the wind power consumption capacity of the power system This is a factor restricting the development of gas power generation technology in China. The complementary power generation system composed of wind generators, micro gas turbines, AC/DC converter, electrolyzers and other equipment connected to the grid can provide electrical energy for the loads in the entire region.
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