基于GM估计的电-气-热综合能源系统分解协调鲁棒状态估计方法

Decomposition and Coordination Robust State Estimation Method for Electric-Gas-Heat Integrated Energy System Based on GM Estimation

在综合能源系统(IES)中,数据分散在各个系统的数据子中心,且由于商业隐私和保密性要求,不能共享完备的实时网络数据。考虑耦合元件边界条件约束,并将其作为虚拟量测,创新性地通过虚拟量测在电、气、热3个子系统中的交互,将IES的状态估计(SE)分解为3个独立子部分。在各子系统中分别基于极大似然(GM)鲁棒估计进行SE计算,根据其他两个子系统的估计结果,通过耦合元件的能量转换计算节点解耦处的虚拟测量值,并加入到原始测量向量中以反映子系统间的相互作用。依次求解电、热、气系统的SE,直到估计结果满足全局收敛条件。基于电-气-热IES系统典型结构进行仿真分析,验证了所提分解协调鲁棒SE方法的有效性。

In integrated energy system(IES),the data is scattered in the data sub-centers of the respective systems,and complete realtime network data cannot be shared due to business privacy and security demand.This paper considers the boundary condition constraints of coupling element and uses it as a virtual measurement.Through the interaction of the virtual measurement in the three subsystems of electricity-gas-heat,the state estimation(ES)of IES is decomposed into three independent subparts.In the general maximum(GM)robust estimation-based ES of each subsystem,the virtual measurement value of decoupling node is calculated through the energy conversion of the coupling element according to the estimation results of the other two subsystems,adding the value to the original measurement vector to reflect the effect between the subsystems.The SE of the electric,heat,and gas subsystems is solved in turn,until the estimation result meets a global convergence condition.The simulation is done based on the typical structure of the electricity-gas-heat IES,and the results verify the effectiveness of the method proposed in this paper.