| Guanzhong area is surrounded by mountains on three sides,and pollutant discharge is not easy to spread,which leads to serious environmental pollution in local rural areas.It is of great importance to achieve green and low-carbon by developing renewable energy in rural areas of Guanzhong.In addition,it is difficult to ensure the dynamic balance of energy supply and demand only by supply-side regulation methods owing to the remarkable random fluctuation features of renewable energy,and the expensive energy storage regulation method can’t be widely used in rural areas of Guanzhong.Flexible energy load regulation is an effective method to improve the matching of energy supply and demand from the demand-side.Fully tapping the potential of rural flexible load will help to achieve efficient matching between energy supply and demand,and it is significant to promote the application and popularization of rural renewable energy and achieve the policies of " double carbon " and rural revitalization.Under the background of new urbanization,the rural areas of China are in a period of rapid development,and the energy consumption differentiation trend of rural families is more and more obvious,and the energy consumption patterns of different types of households are significantly various.In order to accurately evaluate the flexible load potential of different types of households,based on the field survey data in rural areas of Guanzhong,this study identifies the typical energy consumption patterns of flexible load equipment and classifies rural households accordingly.On the premise of fully considering the flexible energy load,an optimal scheduling model of rural households’ flexible load with the minimum power consumption cost as the goal is established and solved.Combined with the time-of-use electricity price and household photovoltaic subsidy policy implemented in rural areas of Guanzhong.The optimal solution is carried out in four scenarios: the current time-of-use price(ER1),the time-of-use price after increasing the time-of-use price difference(ER2),the installation of household photovoltaic system(PVS)and the installation of household photovoltaic system at the same time and the use of the current time-of-use price(PVS+ER1).The specific research contents are as follows:Firstly,the basic situation of energy consumption load of rural households in Guanzhong is investigated and analyzed.Based on the field investigation of the basic features of energy consumption patterns of rural households in Guanzhong,the basic data of various energy loads are obtained,and the energy load of rural households in Guanzhong in winter and summer is calculated,which provides accurate data support for the analysis of flexible energy load characteristics and model establishment of rural residents in Guanzhong.Secondly,the flexible load identification and energy consumption pattern classification of rural families in Guanzhong are carried out.According to the field survey data,the typical flexible loads in rural households in Guanzhong are identified,and the energy consumption modes of various typical flexible load devices are classified by cluster analysis method.Then,the flexible load regulation characteristics of rural households in Guanzhong are analyzed,which lays fundamental parameters for establishing and solving the optimal scheduling models of flexible loads in various energy consumption modes.Finally,the flexible load regulation potential of families with various energy consumption modes in rural areas of Guanzhong is evaluated.The optimal scheduling models of various flexible loads are established,and the optimal scheduling results aiming at minimizing the household electricity cost are obtained for families with different energy consumption modes in four scenarios,so as to analyze and evaluate the flexible load adjustment potential of families with various energy consumption modes in various scenarios.The main conclusions of this study are as follows:1)By identifying the basic energy consumption load of rural households in Guanzhong,it is found that washing machine energy consumption load,electric vehicle charging load and air conditioning load are the most common flexible energy consumption loads of rural households in Guanzhong,which are typical representatives of translatable flexible energy consumption load,interruptible flexible energy consumption load and reducible flexible energy consumption load respectively.Two-dimensional K-means cluster analysis is made on the usage time of washing machines,charging time of electric vehicles and air-conditioning in rural areas of Guanzhong in summer and winter,respectively.The results show that there are two usage modes of washing machines in the morning and afternoon in summer,two charging modes of electric vehicles in the afternoon and at night,and two usage modes of air-conditioning and cooling at noon and at night.In winter,there are two use modes of washing machine in the morning and afternoon,two charging modes of electric car in the afternoon and night,and two use modes of air conditioning and heating at night and night.After the combination,eight families with energy consumption modes in winter and summer are obtained respectively.2)Among the four typical scenarios,the flexible energy load regulation potential can be released to the greatest extent in PVS+ER1 scenario,while the release degree of flexible energy load regulation potential in ER1 scenario is the most limited.Among the eight households with energy consumption modes in PVS+ER1 scenario,the self-use rate of photovoltaic power generation in households with morning laundry-electric vehicle charging at night-air conditioning and cooling at noon increased the most,and the power consumption cost was reduced the most.Compared with the flexible load optimal dispatching,the self-use rate and power consumption cost of photovoltaic power generation in building energy system increased and decreased by 10.7% and 50%respectively.Among the eight households with energy consumption patterns in ER1 scenario,the peak-valley difference of household load curve from morning laundry to electric vehicle charging at night to air conditioning heating at night is reduced the most,and the power consumption cost is reduced the most.Compared with the flexible load optimal dispatching,the peak-valley difference and power consumption cost are reduced by 24.5% and 15% respectively.3)In the evaluation of typical flexible load potential of rural households with various energy consumption modes in Guanzhong,the patterns of air conditioners have an important influence on regulating the flexible load.In summer,the flexible potential of families with night air conditioning and cooling mode is the greatest,because this kind of families with energy consumption mode spend more time in the evening peak hours.The maximum reduction of air conditioning power load is 22.2%;In contrast,the noon air conditioning and cooling mode has the smallest potential for household flexible load adjustment,mainly because the energy consumption time of household air conditioning in this mode is short,and the energy consumption load of air conditioning is mainly borne by the household photovoltaic system.In winter,the flexible load regulation potential of households with night air conditioning and heating mode is the greatest,because this kind of households with energy consumption mode spend more time in the peak hours of night electricity price.The maximum reduction of air conditioning power load is 33.0%.In this study,families are classified according to different energy consumption modes of typical flexible load equipment,and an optimal scheduling model of flexible load is established.Taking the field survey data in rural areas of Guanzhong as an example,four scenarios of time-of-use electricity price and household photovoltaic system are set,and the optimal scheduling and comparative analysis of rural flexible energy load aiming at economy are carried out for different types of families in this area.The study results are significant to accelerate the popularization of renewable energy in rural areas and to realize the energy transformation under the goal of "double carbon" in China. |
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