基于加权最小绝对值的电-气综合能源系统抗差状态估计

天然气可大规模存储的特性及电制氢技术的支撑使得电—气综合能源系统受到了国内外的普遍关注。为实现对电—气综合能源系统的全面、实时和精确感知，需要构建电—气综合能源系统状态估计(IES-SE)，而IES-SE依赖于电—气耦合模型建模、压缩机支路建模及电—气两种能流的联合估计建模。在电—气耦合模型建模方面，引入了燃气轮机和电制氢机组以考虑电—气两种能流的双向转化；在压缩机支路建模方面，提出一种新的压缩机约束模型，不仅可考虑压缩机元件对气压的约束，也可考虑燃气压缩机的耗气量。在此基础上，构建了基于加权最小绝对值的电—气综合能源系统抗差状态估计模型，并给出了其求解方法。仿真算例验证了所提出的电气耦合模型、压缩机支路模型及电—气IES-SE的有效性。

Robust State Estimation of Electric-Gas Integrated Energy System Based on Weighted Least Absolute Value

The electric-gas integrated energy system has been paid more and more attention at home and abroad because of the ability of large-scale storage of natural gas and the technological support of power to gas(P2G). In order to achieve the comprehensive, real-time and accurate perception of the electric-gas integrated energy system, the state estimation(SE)of integrated energy system(IES-SE)coupling natural gas and electricity is needed. IES-SE depends on the modeling of electric-gas coupling model, branches containing compressor and electric-gas joint estimation. As for coupling model, both gas turbine and P2G unit are utilized to achieve the two-way transformation of energy flow. As for modeling of branches containing compressor, a new constraint model is proposed, which not only considers the constraints of compressor elements on gas pressure, but also the consume of gas by gas turbine. On this basis, the weighted least absolute value SE model of the electric-gas integrated energy system is constructed, and its solution method is given. Finally, the results of simulation prove the validity of the proposed models of coupling model, branches containing compressor and IES-SE.