| With the rapid development of China’s social economy,the demand for social energy consumption is increasing.However,due to the limited primary energy reserves and development speed of oil and coal,the contradiction between the imbalance of energy supply and demand is becoming increasingly prominent.The integrated energy system(IES)can not only break down the barriers of interconnection between various forms of energy systems such as cold / heat / electricity / gas,but also help to promote the optimization and upgrade of the energy supply side and the demand side.It has already become a hot research topic at home and abroad.In view of this,this paper focuses on the optimization scheduling problem of the IES,and studies the impact on the system’s optimal scheduling strategy when considering the building’s virtual energy storage system and the uncertain factors of photovoltaic,which can promote efficient use of primary energy,peak cutting and valley filling,distributed renewable energy consumption.The research results of this article are given below:First,the basic structure of an integrated energy system with distributed energy is introduced,and mathematical models for various types of equipment are established.The conversion and coupling of energy is analyzed from the perspective of cold / heat / electricity / gas energy flow.The typical equipment in the system is introduced from the perspective of energy generation,transmission,conversion,and storage.Mathematical models of micro gas turbines,distributed photovoltaics,compression electric refrigerators,waste heat boilers,heat exchangers,etc.were established,revealing the relationship between the input and output of various equipment in the system.Secondly,a day-to-day optimal scheduling model for a regional integrated energy system that takes into account the building’s virtual energy storage system is proposed.The heat balance characteristics of buildings is analyzed from two aspects,thermal balance modeling of internal surface of building envelope and modeling of indoor air heat balance.Based on this,the user’s thermal comfort interval constraints are considered so that a model of the building’s virtual energy storage system is built.Taking the minimum daily operating cost of the system as the objective function,and taking the internal cooling / heating /electric power balance,indoor air thermal balance,equipment operating limits,and room temperature thermal comfort intervals as constraints,a day-to-day optimal scheduling model for a regional integrated energy system is established.The results of calculation examples show that after considering the building’s virtual energy storage system,it can cooperate with the time-sharing electricity price policy,and the system can better respond to the power grid to cut peaks and fill valleys.At the same time,the virtual energy storage system reduces operating costs of integrated energy systems by 1.2%.Finally,a day-to-day optimal scheduling model for a regional integrated energy system that takes photovoltaic uncertainty into account is proposed.According to the probability density function of light intensity,a Monte Carlo stochastic simulation method is used to generate photovoltaic output scenes.Backscene reduction technology is used to reduce the scenes,and the photovoltaic output uncertainty is represented in the form of typical photovoltaic scenes.A day-to-day optimal scheduling model for a regional integrated energy system that takes photovoltaic uncertainty into account is constructed.The model takes the probability of typical scenes as the weighting factor,takes the minimum expected operating cost of the system as the objective function,and takes the cold / heat / electricity balance,indoor air heat balance,equipment operation constraints,indoor temperature flexible thermal comfort constraints as constraints.10 typical photovoltaic output scenarios are included in the example system.The results of the example show that after taking into account photovoltaic uncertainties,the output of energy storage equipment and the building’s virtual energy storage system has changed significantly.The system’s abandoned light and energy shortages were reduced by 34.6% and 38.7%,respectively.The results illustrate the necessity and effectiveness of considering photovoltaic uncertainty.The results of the example also show that the building’s virtual energy storage system improves the system’s photovoltaic digestion capacity.Abandonment of light and energy shortage decreased by 33.06% and 45.09%respectively... |
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