考虑风电不确定性和碳交易成本的多能源微网日前鲁棒经济调度模型

Robust and Economy Day-ahead Scheduling of Multi-energy-source Microgrids Considering Wind Power Uncertainty and Carbon Trading

在低碳背景下,含热电联产(Combined Heating And Power,CHP)及电转气(Power to Gas,P2G)技术的多能源微网系统可以实现多种能源清洁低碳化供应,提高能源综合利用效率。然而,风电强烈的随机性与波动性严重影响多能源微网运行的安全性与经济性。基于此,采用可调鲁棒优化方法应对风电出力不确定性;并根据P2G低碳特性和碳交易市场机制建立阶梯型碳交易模型,综合考虑常规机组的运行成本、电量交易成本、弃风惩罚成本以及碳交易成本,构建多能源微网日前双层可调鲁棒经济调度模型。最后,对系统不同场景的调度结果进行对比分析,结果表明:引入阶梯型碳价后,可以有效提升含P2G的热-电联产型多能源微网低碳运行的经济性,可调鲁棒方法能使多能源微网在经济性和保守性上得以平衡。

Under the background of carbon depression and reduction,multi-energy-source microgrids supported by technologies of combined heating and power(CHP)and power to gas(P2G)can realize power supply by utilizing a variety of clean and low-carbon energy sources,and consequently improve comprehensive utilization of energy.However,the strong randomness and volatility of wind power seriously affect security and economy of multi-energy-source microgrids′operation.In consideration of this,an tunable and robust optimization method is adopted to deal with the uncertainty of wind power output.Based on low carbon characteristics of P2G and market mechanism of carbon trading,a step-type carbon trading model is established.Furthermore,by comprehensively considering operation cost,electricity trading cost,wind abandoning penalty cost,and carbon trading cost of conventional units,a double-layer tunable,robust and economic scheduling model of multi-energy-source microgrids is established.Finally,the comparative analysis of scheduling results in different system scenarios shows that the introduction of step-type carbon price can effectively improve the low carbon operation economy of CHP-containing P2G-type multi-energy-source microgrid,and the proposed tunable robust method can achieve balance between economy and conservatism of multi-energy-source microgrids.