Optimal Dispatch Of Combined Heat And Power Systems Considering Demand Response And Wind Power Heating

During the heating season in the northern region,there is a "thermoelectric coupling" in the combined heat and power unit,that is,the heating of the thermal power unit and forced active output.At the time of the major wind power generation,the valley of the wind power is often used to limit the wind power grid space,resulting in high wind power generation in some areas.Wind power heating is an effective method of wind power consumption.Coordinating and dispatching electric boilers and heat storage devices to use abandoned wind power for heating can reduce primary energy consumption;as the reform of the power market advances,the power system can achieve peak clipping through demand response strategies For the purpose of valley filling.Therefore,studying wind power heating and demand response mechanisms has certain theoretical value for wind abandonment consumption and improving system stability.In this paper,based on the scheduling model of the combined heat and power system,an electric boiler is added to the thermal power plant-heat storage tracking wind power central heating to promote the on-site consumption of wind power,and the load side improves the load characteristics through demand response to alleviate the peak load of the system and explore the potential of the unit Based on this,a source-charge coordinated dispatch model is formed;taking into account wind power uncertainties,the demand response measures are improved to suppress wind power fluctuations,and a multi-objective dispatch optimization model is formed.The main research contents are as follows:First,the operating characteristics of the power supply side and the load side of the integrated electric heating system are summarized,including the operating characteristics of the thermal power unit,wind power,and electric boilers,and the operating mechanism of demand response.Based on this,the model of each component of the system is initially formed.Secondly,with the help of time-of-use pricing strategies in power market measures to improve the system load curve and increase wind power grid space,wind power heating projects use complementary heating methods with thermal storage boilers and thermal power plants as the main means of eliminating wind.Taking the lowest operating cost of the system as the objective function,considering the price demand response and the heat supply of the storagestorage electric boiler,an electric-heating combined system scheduling model is constructed,and each part of the system is organically linked together through constraints.Called CPLEX software to solve in Yalmip environment in Matlab.The results of calculation examples show that the price demand response strategy and regenerative electric boiler can improve the peak shaving characteristics of the system.The method can improve the wind power consumption of the combined heat and power system by about 30% and reduce it.Coal consumption is about 4%.Finally,considering the volatility of wind power,that is,there is an error between the predicted power and the actual power of the wind power,in order to ensure wind power consumption,it is proposed that industrial loads adopt incentive demand response strategies to quickly respond to wind power fluctuations,residents and commercial loads adopt price demand response strategies,and different demand response strategies In two-stage dispatching,they cooperate with each other to improve the smooth load curve.Taking into account the cost of incentive demand response,a multi-objective optimization model with minimum wind curtailment and minimum operating cost is proposed.Based on non-dominated sorting and congestion calculation,the NSGA-Ⅱ algorithm is improved and solved,and Pareto multiple solutions are obtained.Compared with the original model,the improved model is more in line with the actual production.The improved algorithm improves the original algorithm’s optimization speed and avoids falling into the local optimum.The results of the example show that the scheme achieves real-time response of industrial load to suppress wind power fluctuations,incentive demand response and price demand response Together with improving the economics of system operation,it is beneficial for the system to accept large-scale wind power grid connection and alleviate wind-heat conflicts.