Co-ordination of transformer tap and capacitor operation for reactive power voltage control in a distribution primary substation

Wong, Tzen Ket; Mak, C.M.; Chung, Tae-Jin

doi:10.1049/cp:20000447

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The minimum power factor of PV is set to 0.95. Moreover, the unit cost coefficient of OLTC tap is $6 [44] and the upper limit for the daily OLTC tap is set to 20 changes [45,46]. The estimated unit cost coefficient of PV active power and reactive power output are 0.8$/MW and 0.1$/MVar [47] for the economy estimation.…”

Section: Simulation Results Of Casementioning

confidence: 99%

A Decoupling Rolling Multi-Period Power and Voltage Optimization Strategy in Active Distribution Networks

Shen

Zheng

et al. 2020

Energies

View full text Add to dashboard Cite

With the increasing penetration of distributed photovoltaics (PVs) in active distribution networks (ADNs), the risk of voltage violations caused by PV uncertainties is significantly exacerbated. Since the conventional voltage regulation strategy is limited by its discrete devices and delay, ADN operators allow PVs to participate in voltage optimization by controlling their power outputs and cooperating with traditional regulation devices. This paper proposes a decoupling rolling multi-period reactive power and voltage optimization strategy considering the strong time coupling between different devices. The mixed-integer voltage optimization model is first decomposed into a long-period master problem for on-load tap changer (OLTC) and multiple short-period subproblems for PV power by Benders decomposition algorithm. Then, based on the high-precision PV and load forecasts, the model predictive control (MPC) method is utilized to modify the independent subproblems into a series of subproblems that roll with the time window, achieving a smooth transition from the current state to the ideal state. The estimated voltage variation in the prediction horizon of MPC is calculated by a simplified discrete equation for OLTC tap and a linearized sensitivity matrix between power and voltage for fast computation. The feasibility of the proposed optimization strategy is demonstrated by performing simulations on a distribution test system.

show abstract

Section: Simulation Results Of Casementioning

confidence: 99%