An interval state estimation for electricity gas urban energy systems
Increasing interdependency between urban electricity and gas networks requires an integrated analysis for both networks. We propose an interval state estimation framework, which can provide the comprehensive interval information for the urban energy network real time monitoring and control. An op timization based approach is employed to produce the upper and lower bounds of state variables. Moreover, we introduce an un certainty budget for pseudo measurements considering the fact that pseudo measurements cannot be simultaneously valued at their upper/lower bounds Test results on the IEEE 13 node sys tem and a 9 node gas system indicate that the proposed interval state estimation approach produces an exact interval result. In the meanwhile, the consideration of measurement uncertainty budget contributes to providing a tighter interval solution.
2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)