A Novel Two-Step Approach for Reactive Power Demand Calculation Using Integrated Voltage Stability Analysis
For power system planners, this methodology provides a more comprehensive approach to reactive power demand calculation by integrating both long-term and short-term voltage stability assessments.
This paper proposes a two-step methodology for calculating reactive power demand in power systems by integrating long-term and short-term voltage stability assessments through iterative Quasi-Dynamic Simulation, Q-V analysis, and dynamic simulation over a full annual period. The case study shows that all buses with voltage issues were successfully addressed and the total reactive power demand was calculated.
The assessment of reactive power demand plays an instrumental role in power system planning. This paper presents a methodology for calculating reactive power demand based on a two-step approach. Unlike existing methodologies in the literature that focus primarily on optimization of reactive power compensation equipment placement and sizing through single-simulation approaches, this methodology directly calculates the actual reactive power demand through a comprehensive back-to-back simulation framework. While existing methods address either long-term or short-term voltage stability using either steady-state analysis or individual dynamic simulations, the proposed approach integrates both stability assessments sequentially through iterative Quasi-Dynamic Simulation, Q-V analysis and dynamic simulation. Furthermore, this methodology employs comprehensive time-series analysis over a full annual period (8760 hours) with multi-criteria violation assessment (number, severity and duration of voltage violations). In the final section of this paper, a case study was conducted to demonstrate the application of the proposed methodology. Simulations were performed to validate the effectiveness of the methodology, with the results showing that all buses with voltage issues were successfully addressed and finally the total reactive power demand across the network was calculated.