Capacity Optimization Configuration Of Multi-energy Complementary Power System Based On Contract Load Curve

In recent years,based on the state's research and judgment on the future energy situation,the installed capacity of new energy sources such as wind and solar power has increased significantly,and then thermal power units have undertaken more peak shaving assistance services,and their profitability has gradually decreased.In order to promote the steady development of the electric power industry,the construction of the electric power market,especially the electric power spot market,has begun to accelerate.After the completion of the spot market,it will play an important role in price discovery,promotion of competition,guaranteed operation,and consumption of new energy.The implementation of medium and long-term power contracts with load curves is a generally accepted and effective way to transition to the spot market.Existing literature has done little research on trading modes in the transition period of the power market,especially curve trading and assessment indicators.At the same time,when optimizing the power system,less consideration has been given to the purchase and maintenance costs of various parts of the system,and the energy storage method is relatively single.Energy storage.Based on the shortcomings of the existing literature and using this as an innovation point,this paper constructs a multi-energy complementary power system including wind power,photovoltaic power,thermal power,storage batteries,electrolytic hydrogen production,and fuel cells in consideration of load curve constraints.Based on the country's emphasis on the development of hydrogen energy,the introduction of an electrolytic hydrogen production system in the power system to digest excess electricity,and the introduction of fuel cells to provide power to supplement it.The evaluation of the load curve introduces horizontal,vertical and consistency rate indicators,and the income is affected by the power constraint by the curve.The model takes the system's 20-year net present value as the objective function,comprehensively considers investment costs,operation and maintenance costs,hydrogen sales revenue,electricity sales revenue,curve revenue and tax impact,etc.,and uses quantum particle swarm optimization to optimize the capacity of each component of the system Configure and compare the overall economics of the project under different system operating modes.This article uses a time-based example of a simulation in a place in North China.The proposed system is equipped with a wind turbine power of 147 MW,a photovoltaic system power of 33.71 MW,an electrochemical energy storage system power of 30 MW,a capacity of 120 MWh,an electrolytic cell power of 225 MW,and fuel.Battery power is 0MW.The system has been in operation for 20 years,with a cumulative net present value of 12.951 billion yuan.The project can obtain an annual value of more than 358 million yuan.Since the purchase cost of thermal power is not considered,the project payback period is within one year.On average,it provides an annual net income of 262 million yuan for the fiscal system where the system is located.At the same time,clean energy output can provide 158 million yuan in environmental protection benefits each year.The long-term load consistency rate of the system for 20 years has gradually increased.Multiple power generation is mainly used in electrolytic hydrogen production systems.When the electrolytic hydrogen production system is removed,the load consistency rate can reach more than 70%.In summary,the project is economically feasible.