Study On Hybrid Integrated Energy System Simulation And Operation Optimization

With the purpose of achieving sustainable energy development and strengthening the comprehensive utilization of renewable energy and the integrated energy system is to plan comprehensively,control coordinately,dispatch intelligently and interact multiply with multiple energy flows concerning the electricity,gas and cooling/heating.The existing models of individual plan,design and operation of each energy supply system have been upgraded.On the basis of traditional energy-saving transformation,an information collection and management platform are established by virtue of the development of information technology such as Internet,big data and cloud computing.The production,storage,transmission,consumption and energy market transactions of multi-energy system are deeply integrated and system design and capacity configuration optimization are provided to achieve coordination and optimization of various energy allocation,transformation,storage,consumption and other links.The research objectives of this paper are as follows:(1)The capacity allocation optimization model of the system is upgraded and rebuilt from active distribution network into integrated energy system.Subordinating degrees of functions are established and the multi-objective fuzzy control algorithm is used for optimization while targeting at the lowest comprehensive cost and the highest energy efficiency.Based on the analysis of the annual operation data of a certain park,comparison on the configuration results of single-objective optimization and multi-objective optimization and the impact of energy accumulator on the system have been made.Finally,the configuration results of IES are obtained under different operation mode.(2)This paper explores the energy supply structure of integrated energy system based on energy hub,studies the economic dispatching model of integrated energy system,and studies the integrated energy system with renewable energy such as photovoltaic power generation and wind power generation,including micro-gas turbine,electric refrigerator,gas boiler,absorption refrigerator,battery accumulator,ice-stored air conditioning and heat accumulator.Furthermore,the MILP model is applied to solve linear optimization problems.Case study shows that the system with capacity allocation is optimized and the typical daily load in different seasons is simulated under different electricity price mechanisms and different energy storage configurations.The optimum results of the electric cooling and heating power of the integrated energy system and the hourly output of each equipment have been gained,summarizing the scheduling strategy of integrated energy system and verifying the rationality and effectiveness of the model and algorithm as well.(3)The optimization of intra-day rolling operation based on model predictive control algorithms is studied with a PSO-ANN-based electric load forecasting model established.For the objective of tracking the intra-day optimization results and reducing changes of system and external interaction energy,it is optimized iteratively with the output of each component of the system readjusted.Therefore,the uncertainty of wind power and photovoltaic power can be overcome to catch up the changes of system requirements and achieve the most accurate and optimized operation results.The system requirements can be met and a closed-loop control can be formed.With the example analysis of a certain park,the rolling optimization algorithm of this chapter can get the final optimization results close to the ideal optimal state.In the end,the influence of rolling time and prediction accuracy on the optimization result is studied.(4)A hybrid integrated energy system simulation platform is established with MATLAB/Simulink and LabVIEW software,with data acquisition,load and renewable energy forecasting,optimization design,optimized operation,energy storage system simulation,economic evaluation,real-time monitoring and other functions.The flexible,malleable and configurable semi-physical simulation platform can provide various users with consulting services for system designing schemes and operation optimization strategies.