A Fully Parallel Stochastic Multiarea Power System Operation Considering Large-Scale Wind Power Integration

Abstract

Multiarea power system operation/coordination is used to increase the reliability of the interconnected power grids and maintain the consistency of the price across the integrated power systems. However, the implementation of this coordinated operation is facing challenges due to increase in size and complexity of the modern power systems, high penetration of the volatile renewable energy, and interdependence issues among various power systems. To address these concerns, this paper presents a fully parallel decision-making approach for the day-ahead scheduling of interconnected power systems with large-scale wind power integration while respecting the information privacy between different systems/areas. In the proposed parallel approach, each system/area solves its day-ahead scheduling problem along with its local subproblems for different wind generations' scenarios, and sends its equivalent (or processed) boundary information to other systems/areas. The proposed inter-regional coordination among systems/areas and intra-regional coordination between scenarios in each system/area will continue until the tie-line power flows and the generation outputs of generating units get converged. The modified IEEE 118-bus testing system is used in this paper to show the effectiveness of the proposed approach.