采用多随机变量超分位数方法的机组碳捕集率优化决策

Optimal Decision of Unit Carbon Capture Rate Using Multiple Random Variable Superquantile

碳捕集机组的效益与电价、碳排放权价格密切相关,在售电损失费用、碳排放权交易费用和燃料费用为目标函数的机组碳捕集率优化模型中,同时考虑电价与碳排放权价格的随机性,提出并推导了多随机变量超分位数方法,将机组碳捕集率优化模型变为机组碳捕集率随机函数型的优化模型,便于利用工具箱求解。对比分析了不考虑电价和碳排放权价格波动,仅考虑碳排放权价格波动以及考虑电价与碳排放权价格波动的机组碳捕集率优化模型的3种计算结果。算例仿真结果表明,同时考虑两价格的随机性,增加了系统碳捕集率调节的灵活性,积极响应了电力市场和碳交易市场机制,降低了碳捕集系统的综合运行成本。

The benefit of carbon capture unit closely relates with electricity price and price of carbon emission permit,in the optimization model of unit carbon capture rate,in which the cost of electricity selling,the cost of carbon emission permit transaction cost and the fuel cost are taken as variables in objective function,the randomness of the electricity price and the price of carbon emission permit are considered simultaneously,and a multiple random variable superquantile method is proposed and derived to turn the optimization model of unit carbon capture rate into the optimization model of unit carbon capture rate in the form of random function that is easy to solve by toolbox.Three kinds of calculation results,namely the price fluctuations of both electricity and carbon emission permit are not considered,only the price fluctuation of carbon emission permit is considered and the price fluctuations of both electricity and carbon emission permit are considered,are contrasted and analyzed.Case simulation results show that considering the price randomness of both electricity and carbon emission permit the flexibility of power grid to adjust the carbon capture rate is enhanced;the mechanism of electricity market and carbon trading market is actively responded,thus the overall operating cost of carbon capture system can be reduced.