Research On Optimizing Allocation Method Of Additional Heat Source In Combined Heat And Power System To Promote Wind Power Consumption

The problem of wind power consumption in combined heat and power(CHP)system is a crossover of many research hotspots such as energy internet,renewable energy consumption,and clean heating.Also,it is a realistic problem to be solved in “the Three Norths” area of China.In northern China,the rich wind season is highly overlap with heating season.Large scale wind power integration is limited by the thermal-heat coupling characteristics of CHP units,which causes high incidence of wind power curtailment.An effective method for wind power consumption in large scale CHP system is to allocate additional heat sources(AHS)such as electric boiler and heat storage.Based on the wind power consumption theoretics of AHS,the thesis analyzes the coordinated allocation strategy of multiple AHS.Aiming to improve the utilization rate of wind power in the northern China and promote the low carboon and economic efficiency of the CHP system.Firstly,the causes of wind power curtailment in “the Three Norths” area is explained and the principle of wind power consumption by various AHS such as electric boiler and heat storage is discussed.The influence of electric boiler and heat storage on the wind power consumption capacity of the CHP system is analyzed.And according to this,an evaluation strategy for wind power comsumption capacity of combined heat and power system with AHS is proposed.Simulation results show that AHS can effectively improve the utilization of wind power of CHP system.And in the middle heating season when the heat load is quite high,AHS has a stronger ability to consume more wind power.Secondly,based on the spectral clustering strategy,a typical daily scene of the heating season is acquired.And then,to meet the wind curtailment rate constraints of heating season,a single-type AHS minimum capacity configuration strategy and multi-type AHS minimum cost configuration strategy is proposed.A heuristic algorithm to solve this optimization problem is designed.Analysis results show that comparing with the conventional intelligent algorithm,the designed heuristic algorithm has higher efficiency.Besides,multi-type AHS allocation can make full use of the advantages of different kinds of AHS,which is better to save the investment cost.Thirdly,annual comprehensive income,cost and profit model of AHS is established.Considering the system wind power curtailment rate constraint and regional AHS capacity constraints,the allocation strategy of AHS based on the maximum annual profit is established.The adaptive simulated annealing hybrid genetic algorithm is used to solve this optimizing problem.Simulation results show that,according to this additional heat source optimization configuration method,the utilization rate of wind power can be improved and the coal can saved effectively,which provides technical support for the optimization of AHS allocation in CHP system from the point of economic.Finally,the income influence of AHS on thermal power plants and wind farms is analyzed and the income variation model of each participant is set up.The feasible region of investment and compensation proportion that meet the requirements of each subject’s interests is researched and its influencing factors are analyzed.Considering the feasible region constraints of each AHS,an AHS investment strategy based on the minimizing the payback period difference of multi-agents is proposed,which has a certain guiding significance to instruct the investment construction and improve the compensation mechanism of AHS in CHP system.