Optimal Operation Of Power Generation System Considering Energy Storage Configuration Under Low Carbon Constraint

With the introduction of policies such as "carbon peaking" and "carbon neutrality," renewable energy technologies have been continuously developed and widely applied.However,power systems that rely heavily on renewable energy face challenges in flexible operation and stable power generation.Therefore,reasonable energy storage technologies not only can smooth the fluctuations and randomness of renewable energy generation but also can reduce renewable energy curtailment rates.There are many types of energy storage technologies,and the effective use of multiple storage technologies can improve the stable power supply capability of renewable energy and the continuous and stable operation of the power system.Therefore,how to allocate the capacity of various generation units and energy storage systems and allocate the generation capacity of each unit has become an important research direction in the field of renewable energy.However,the construction of energy storage systems and renewable energy is constrained by economic considerations.(1)This article uses EnergyPLAN to model thermal power plants,wind power plants,photovoltaic power stations,energy storage power stations,and cogeneration power stations.It analyzes and models the characteristics of the power generation system,the allocation of power generation capacity for each unit,and balances low-carbon construction and economic considerations.(2)The research also analyzes the mixed energy storage capacity allocation and generation capacity allocation of various types of power generation units,and examines the energy supply and demand situation in Ulanqab region of China.It utilizes comprehensive energy storage and configuration technology to achieve the goal of reducing greenhouse gas and carbon emissions and improving energy efficiency at the lowest cost.A multi-objective evolutionary algorithm is used to optimize the system with non-dominated sorting genetic algorithm under multiple constraint objectives.(3)The marginal abatement cost of the power generation system is analyzed,including carbon emission costs,carbon abatement costs,and carbon abatement potential.Based on the analysis,when the reduction of carbon emissions is relatively low,optimizing the configuration of the comprehensive energy system can reduce renewable energy curtailment rates and carbon emissions,leading to a decrease in costs.However,when the requirements for carbon emissions reduction are high,the costs of various types of carbon reduction technologies gradually increase.This article aims to propose the optimal capacity configuration for power generation units based on the real energy situation in Ulanqab.