Wind-Solar-Hydro-Thermal-Storage Multi-Energy Complementary Scheduling Based On Optimal New Energy Consumption Rate And Demand Response

The ’30·60 dual-carbon strategic goal ’ and the construction of a new power system with new energy as the main body have laid the main tone of China’s energy development during the’ 14th Five-Year Plan ’ period,and also marked that the new energy industry has entered a new stage of development.The high proportion of renewable energy grid connection is the mainstream trend in the future,but the high proportion of renewable energy grid connection will seriously affect the safe,stable and efficient operation of the power system.The multi-energy complementary system can effectively solve this problem and promote the interconnection and mutual assistance of various energy sources.It can maximize the flexible adjustment of the power supply side and promote the consumption of large-scale new energy.To solve the problems of low efficiency of traditional integrated energy system wind curtailment and light curtailment,and finally realize the strategic goal of’ double carbon ’ and the construction of new power system.Aiming at the problems of volatility,economy,environmental protection and consumption caused by the integration of new energy,this paper studies the multi-energy complementary optimal scheduling of wind-solar-hydro-thermal-storage based on the optimal consumption rate and demand response of new energy.Firstly,the characteristics of five heterogeneous power sources such as wind power generation,photovoltaic power generation,hydropower generation,coal-fired power generation and energy storage system in multi-energy complementary system are introduced.The power generation principle and related parameters of wind turbine,hydropower unit,photovoltaic cell,thermal power unit and electrochemical energy storage in complementary system are analyzed.According to the operation mechanism,the output power model and operation cost model of five kinds of power sources are established,which lays a mathematical foundation for the optimal scheduling of multi-energy complementary system.Secondly,the concept of optimal consumption rate of new energy is proposed on the power side,and a multi-energy complementary bi-level optimal scheduling model considering optimal consumption of new energy is established.In the upper model,the optimal consumption rate of new energy is introduced.Considering the operation constraints of hydropower and energy storage system,an optimal scheduling model with the minimum net load variance as the objective function is established to optimize the clean energy output in each period and the charging and discharging power of energy storage system in each period.The influence of the optimal consumption rate of new energy on the difficulty of peak regulation of thermal power units and the influence of energy storage system on the consumption of renewable energy are analyzed.The lower model is based on the deep peak regulation process of thermal power units,aiming at minimizing the total operating cost of the power system,optimizing the output power of thermal power units,and obtaining the optimal output power of each thermal power unit during the scheduling period and the operating costs of the multi-energy complementary system.The results show that the multi-energy complementary bi-level optimal scheduling strategy considering the optimal consumption rate of new energy can effectively reduce the difficulty of peak shaving of thermal power units,reduce the operation cost of power grid and reduce pollutant emissions.Finally,considering the influence of price-based demand response on load fluctuation on the load side,a multi-energy complementary three-layer optimal scheduling model based on optimal consumption rate of new energy and price-based demand response is established on the basis of bi-level optimization.The peak-flat-valley time-sharing price-based demand response is adopted for the load side.Considering the influence of electricity price,power transfer,user satisfaction and total demand distribution on load fluctuation,a price-based demand response scheduling model with the minimum load fluctuation rate as the target is established.The initial load curve is ’ peak shifting and valley filling’,and the equivalent load curve with the minimum fluctuation rate is obtained,which is transmitted as the initial load data to the bi-level optimal scheduling model.The results show that the multi-energy complementary three-layer optimal scheduling model based on price-based demand response can effectively reduce the peak-valley difference of equivalent load on the demand side,thus alleviating the difficulty of peak regulation of thermal power units,promoting the consumption of renewable energy and reducing pollutant emissions.This study is conducive to the realization of the " double carbon " strategic goal of energy conservation and emission reduction,and the construction of a new clean,environmentally friendly,safe,reliable and economical power system.