Research On Heating Scheme Design And Distribution Network Planning Of "Coal-to-Electricity" In Rural Area Of North China

Air Pollution,represented by smog,not only causes serious damage to people's health,but also hinders the development of economy.It is an important task of environmental control in our country.The average annual concentration of PM2.5 in HeBei,a major province in north China,was 70ug/m3 in three provinces and cities in 2016,seriously exceeding the WHO standard(PM2.5?10ug).Existing data show that residential heating is one of the important reasons for frequent heavy pollution weather in winter.Since the 13th five-year plan,the Beijing-Tianjin-Hebei region has begun to push forward the process of"coal-to-power" in rural areas.With the advance of "coal-to-electricity" and the increase of residential electricity load,the rural low-voltage distribution network can not meet the demand of power supply.According to the load demand of "coal-to-power",it is important to carry out the reconstruction and expansion planning of medium-low voltage distribution network scientifically and reasonably.In this paper,the Beijing-Tianjin-Hebei region is selected as the research object,and through Energy Plus,the Energy consumption model of residential buildings in this region in winter is constructed,the heating Energy consumption demand is obtained through simulation,and the life cycle cost of different heating modes is calculated,it provides a reference for the choice of heating mode of residents.When each household chooses its optimal heating mode,the heating characteristics of each heating mode are taken into account(for example,the electricity consumption time of the regenerative electric heater is 23:00-7:00,the air source heat pump and the geographical heat pump consume electricity in real time according to the heating energy consumption),new Power consumption peaks may occur during the night,which will result in a higher cost of retrofitting the distribution network.If the heating transformation plan is adjusted properly,the peak value of power consumption will be reduced,thus reducing the cost of distribution network reconstruction and expansion.Based on this,considering the total cost of the "coal to power" project,a bi-level programming model of the "coal to power" heating transformation and distribution network planning is constructed,the selection of heating mode is taken as the decision variable,the lower model takes the minimum cost of distribution network planning and expansion as the objective function,and the selection of distribution transformer location and capacity,station area and distribution line as the decision variables.The upper model transfers the node load(calculated by heating scheme)to the lower model,and the lower model optimizes the cost of distribution network reconstruction and expansion,and transfers the optimal planning scheme to the upper model,thus influencing the upper decision-making results.In this paper,genetic algorithm is used to solve the problem,and an example of "coal to electricity" and distribution network planning in a rural area is used to verify the result,based on the load demand,node voltage constraint and reliability requirement of the coal-to-power project,the proposed method achieves the life cycle economy optimization of the planning scheme.In this paper,the problems of residential heating and low-voltage distribution network reconstruction and expansion planning are studied in coal-to-power project.A bi-level programming model is established,which takes the lowest life cycle cost as the objective function,the residential heating transformation mode,the distribution voltage location and capacity,and the line selection as the decision variables.Through this study,it can provide certain reference and guidance for the promotion of "coal to electricity" project in the future.