Collaborative Optimization Scheduling of Regional Power Comprehensive Energy Based on CPSO Algorithm
Due to the diversity of energy sources in the power system,including traditional electricity,renewable energy,and energy storage systems,collaborative management has become a crucial factor in ensuring the reliability,economy,and sustainability of power supply.To address the complex energy management challenges in modern power systems,this study proposes a collaborative optimization scheduling method for regional power integrated energy based on the CPSO algorithm.Firstly,a mathematical model of the power system is established,incorporating the production,storage,transmission,and load consumption of various energy sources.The objective functions cover different scenarios such as minimizing total cost,minimizing carbon emissions,or maximizing system reliability.Meanwhile,various constraint conditions are considered,including the stability of power supply,energy storage capacity limitations,and the volatility of renewable energy.The CPSO algorithm serves as an optimization tool.By adjusting the parameters and initial conditions of the CPSO algorithm in experiments,the optimization results under various scenarios are analyzed and compared.Experimental results demonstrate that the proposed collaborative optimization scheduling method for regional power integrated energy based on the CPSO algorithm can effectively reduce total cost,decrease carbon emissions,and improve system reliability.Furthermore,this method exhibits flexible adaptability to unstable renewable energy sources.
CPSO algorithmregional power systemcollaborative optimization
万方数据
维普
