PROJECT TITLE :

Stochastic Distribution System Operation Considering Voltage Regulation Risks in the Presence of PV Generation

ABSTRACT:

Variable over voltage, excessive faucet counts, and voltage regulator (VR) runaway condition are major operational challenges in distribution network whereas accommodating generation from photovoltaics (PVs). The traditional approach to realize voltage management primarily based on offline simulation for voltage set point calculation will not consider forecast errors. In this work, a stochastic optimal voltage control strategy is proposed whereas considering load and irradiance forecast errors. Stochastic operational risks like overvoltage and VR runaway are outlined through a probability constrained optimization (CCO) downside. This classical formulation to mitigate runaway is more improved by introducing a stochastic index called the Tap Tail Expectation. Operational objectives such as power losses and excessive faucet count minimization are thought-about within the formulation. A sampling approach is proposed to solve the CCO. Along with other voltage control devices, the PV inverter voltage support features are coordinated. The simulation study is performed using a realistic distribution system model and practically measured irradiance to demonstrate the effectiveness of the proposed technique. The proposed approach may be a helpful operational procedure for distribution system operators. The approach can minimize feeder power losses, avoid voltage violations, and alleviate VR runaway.