Research On Day-ahead Optimal Dispatch Of Integrated Energy System Considering Uncertainty

With the contradiction between energy security and environmental pollution issues becoming more and more prominent,integrated energy system,as the main technical means to achieve the integration of renewable energy consumption and regional power,cooling and heating supply technology,has become a research hotspot in the energy field.In order to improve the scale of renewable energy consumption,make full use of the coupling of multiple energy sources and improve the energy utilization efficiency,this paper focuses on improving the stability and economic benefits of the system,and studies day-ahead optimal dispatch of integrated energy system considering uncertainty.The main work is as follows:(1)Aiming at uncertainties such as intermittence of renewable energy,fluctuation of load forecasting and randomness of unit failure,an optimal dispatching model of integrated energy system based on situation awareness is constructed.The model has the risk analysis ability of situation awareness.In the model,the risk coordination constraint equation and the uncertain factors modeling is added.At the same time,the risk indicators of the integrated energy system are converted into the risk costs in the objective function.The validity of the method is verified by an example analysis,and the security and economy of decision-making are taken into account.(2)In order to facilitate energy flow analysis,optimal operation and demand side management of integrated energy system,an improved energy hub model is proposed,and its precise modeling is carried out to realize the functions of conversion,transmission,storage and distribution of various energy types.Then,the participation factors of different energy storage devices are introduced to evaluate the ability to smooth uncertain fluctuations.An adjustable robust day-ahead scheduling model of integrated energy system based on energy hub is constructed,and the duality principle is used to convert the robust constraints into mixed integer programming.The multi?energy complementarity of the optimization results and the distribution of participation factors of different energy storage devices are analyzed through an example,which reduces the backup of the system and improves the dispatching economy.(3)On the basis of the above research,taking MI-5000 integrated energy management system of Zhejiang University South China Institute of Technology Smart Grid Center as a platform,the practical application of renewable energy forecasting and optimal dispatching are studied.The research results of photovoltaic output forecasting,load demand forecasting and optimal dispatching are applied in engineering system module,and the functional framework,software configuration and actual work of the system are also described in detail.The research results can provide a general and effective means for the management and control of the integrated energy system in China,and improve the management efficiency and economic benefits of the integrated energy system.