Research On Source-grid-load-storage Energy Collaborative Control Strategy Of Integrated Energy System

The current challenges faced by the integrated energy system can be better understood.These challenges include the need for structural transformation,diversified energy supply and demand scheduling,and the promotion of CO2 emission reduction.Additionally,there is a need to enhance energy management algorithms and platform intelligence to address these challenges.By analyzing the role of energy systems in practical applications and the impact of new technology applications on the transformation of comprehensive energy systems,we can gain a clearer understanding of these issues.In order to achieve our future development goals,we aim to construct a precise and sustainable clean energy supply system that utilizes virtual power plant technology and reinforcement learning algorithms.To accomplish this,we will analyze and evaluate the current trends in integrated energy systems in terms of source,network,load,and storage,taking into account the global diversification of energy sources.By doing so,we can identify the strengths and weaknesses of our system and establish a robust integrated energy system that is supported by virtual power plant technology.The system operation model aims to reduce CO2 emissions by implementing a carbon emission and pollution control subsystem.Additionally,it establishes a comprehensive energy system collaborative control model that utilizes hydrogen-storage to offset the significant amount of carbon dioxide emissions produced during thermal power generation.The ultimate goal is to increase the penetration rate of clean energy in the integrated energy system’s operation.This paragraph can be revised for better clarity and flow:The following four aspects provide a detailed description of the application scope and function realization of the built model.Additionally,a comprehensive comparison is made with the operation mode of the traditional electric-heat-gas integrated energy system.This analysis aims to demonstrate the potential value of the proposed method for the transformation and upgrading of the energy system,which is also verified.(1)Improve the overall efficiency of the energy system.Revised:A coordinated strategy should be established between the Carbon Emission and Pollution Control Subsystem(CPCS)and the ElectricityHeat-Gas Energy System to meet the development needs of the energy system.This strategy can greatly reduce CO2 emissions,increase the circulation between CO2 and energy equipment and market,and enrich the energy supply of the system.Additionally,the CPCS can improve the load balancing scheme and overall efficiency of the energy system.and promote the low-carbon economy of the energy system run.(2)Through virtual power plant intelligent optimization control technology on the dynamic regulation of the energy system,take a distributed+centralized synergy control strategy,analyze the output of energy system capacity equipment,optimize the energy data structure,integrate the benefits of energy management operation,its role in the power system in the energy supply is inadequate,equipment production capacity excess,power heat load appears peak valley and system CO2 emission excess state,and data analysis for specific problems,so as to determine the best value choice of energy systems.(3)Construct a research model for the optimal scheduling strategy of the wind-solar coupled hydrogen production subsystem,participate in the hydrogen energy preparation,compression,storage and consumption process to a greater extent through the wind-solar combined production capacity,cooperate with the hydrogen fuel cell group to realize the multi-mode utilization of hydrogen energy,and Based on the intelligent control technology regulation of the power plant,it is equipped with an improved deep deterministic strategy gradient optimization algorithm,which aims to improve the penetration rate of clean energy in the system and promote the transformation and upgrading of the energy system.(4)Existing energy storage equipment cannot guarantee the user’s energy demand in real time.By introducing hybrid energy storage equipment to participate in the comprehensive energy system,hydrogen energy is used as the conversion medium of electric-thermal energy storage,and the form of energy storage is optimized according to demand to improve energy utilization.Efficiency,system synergy and equipment processing sensitivity reduce the risk of system energy consumption.Due to the complex and nonlinearity of the built equipment model,it is difficult for ordinary optimization algorithms to find the optimal solution.An improved Deep Deterministic Policy Gradient(IDDPG)algorithm(Improved Deep Deterministic Policy Gradient,IDDPG)is proposed to solve the problem.By comparing energy systems in different scenarios The analysis of intelligent algorithm simulation results shows that the built model and optimization method can effectively improve the energy utilization rate,alleviate the current situation of abandoning wind-power and excessive CO2 emissions,and promote the economic operation of the integrated energy system.Good regulatory sensitivity and environmental protection have a significant effect on improving the upgrading and transformation of multi-energy systems and the conversion rate of renewable resources.