研究目的
Investigating the fast QSTS simulation technique capable of modeling the smart inverter dynamic VAR control functionality and accurately estimating the states of controllable elements including voltage regulators and capacitor banks at each time step.
研究成果
The paper presents a fast QSTS simulation algorithm capable of running time series analysis of 3-phase unbalanced distribution systems with various discrete-step, time-dependent controllable elements and smart inverters. The algorithm is capable of modeling the smart inverter dynamic VAR control in extended-term time series simulations and is able to determine their impact on legacy voltage regulation equipment including tap changing transformers and capacitor banks. Consequently, it allows distribution engineers to quickly simulate a set of candidate Volt-VAR curves to determine the optimal settings.
研究不足
The small error introduced by the fast QSTS algorithm is caused due to the linearization of the voltage-power manifold.
1：Experimental Design and Method Selection:
The paper proposes a state-based linear sensitivity model capable of performing a time series analysis of both radial and meshed 3-phase unbalanced distribution systems, with various discrete-step control elements including tap changing transformers and capacitor banks.
2：Sample Selection and Data Sources:
The test circuit has both three phase and single phase loads with a total rated power of
3：2 MW. All the loads in the circuit are assigned a 1-second resolution power injection profile obtained from SCADA measurements. List of Experimental Equipment and Materials:
The paper mentions the use of commercially available software packages, such as OpenDSS and GridLAB-D, for power flow solutions.
4：Experimental Procedures and Operational Workflow:
The algorithm starts at t = 0, where the circuit is compiled once to determine the initial states of regulators, capacitors and inverters. Corresponding to this particular state of system controllers st, a linear approximation of the voltage-power manifold is generated around the operating point.
5：Data Analysis Methods:
The proposed model relies on creating a local linearization of the voltage-power manifold to estimate voltage sensitivity coefficients.
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