High-economic PV power compensation algorithm to mitigate voltage rise with minimal curtailment

Zhang, Zhanqiang; Dou, Chunxia; Yue, Dong; Zhang, Bo; Zhao, Peng

doi:10.1016/j.ijepes.2020.106401

Cited by 14 publications

(11 citation statements)

References 22 publications

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“…It presents a method with the robust minimization of absolute voltage deviation, and a close formed solution inspired from chance constraints. In [41] a rule based decentralized RPC is performed taking into account the most sensitive nodes in the network. An optimization technique is developed in [42] to coordinate fast dispatch of PV inverters with OLTCs in a decentralized manner due to computational burden in centralized systems.…”

Section: Multiple Methods Have Been Proposed In the Literature To Ove...mentioning

confidence: 99%

A Sensitivity Matrix Approach Using Two-Stage Optimization for Voltage Regulation of LV Networks with High PV Penetration

Hassan¹,

Marikkar²,

Prabhath³

et al. 2021

Preprint

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The occurrence of voltage violations are a major deterrent for absorbing more roof-top solar power to smart Low Voltage Distribution Grids (LVDG). Recent studies have focused on decentralized control methods to solve this problem due to the high computational time in performing load flows in centralized control techniques. To address this issue a novel sensitivity matrix is developed to estimate voltages of the network by replacing load flow simulations. In this paper, a Centralized Active, Reactive Power Management System (CARPMS) is proposed to optimally utilize the reactive power capability of smart photo-voltaic inverters with minimal active power curtailment to mitigate the voltage violation problem. The developed sensitivity matrix is able to reduce the time consumed by 48% compared to load flow simulations, enabling near realtime control optimization. Given the large solution space of power systems, a novel two-stage optimization is proposed, where the solution space is narrowed down by a Feasible Region Search (FRS) step, followed by Particle Swarm Optimization (PSO). The performance of the proposed methodology is analyzed in comparison to the load flow method to demonstrate the accuracy and the capability of the optimization algorithm to mitigate voltage violations in near real-time. The deviation of mean voltages of the proposed methodology from load flow method was; 6.5 × 10 −3 p.u for reactive power control using Q-injection, 1.02 × 10 −2 p.u for reactive power control using Q-absorption, and 0 p.u for active power curtailment case.

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Section: Multiple Methods Have Been Proposed In the Literature To Ove...mentioning

confidence: 99%

A Sensitivity Matrix Approach Using Two-Stage Optimization for Voltage Regulation of LV Networks with High PV Penetration

Hassan¹,

Marikkar²,

Prabhath³

et al. 2021

Preprint

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“…Finally, Equation (10) states that at every time t, the energy level of the jth vehicle connected to household i must be within the energy boundaries computed in Section 2. The computation of the current energy state is given by Equation (11), which considers the arrival time of vehicle j…”

Section: The Constraints Of Pvs and Electric Vehiclesmentioning

confidence: 99%

“…Battery systems are used to curtail surplus generation to prevent overvoltages and supply the lack of generation to prevent under-voltages. Both [9,10] used the voltage sensitivity coefficients of the network to reallocate the PV curtailment among the PV units and find the PV compensation due to an overvoltage problem respectively. However, the voltage sensitivities were obtained assuming three-phase balanced LV networks.…”

Section: Introductionmentioning

confidence: 99%

Optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks: An experimental case

Borray

Rauma

2022

IET Smart Grid

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This study introduces a quadratic programming-based optimisation method to coordinate electric vehicle (EV) charging and photovoltaic (PV) curtailment in unbalanced low voltage (LV) networks. The proposed model is defined as a convex model that guarantees the optimal global solution of the problem avoiding the complexity of non-linear models and surpassing the limitations of local solutions derived from meta-heuristics algorithms reported in the literature. The coordination is carried out through a centralised controller installed at the header of the LV feeder. The objective of the proposed strategy is to minimise the power curtailment of all PV systems and maximise the power delivered to all EVs by optimising at every time step a suitable setpoint for the PV units and the charging rate of each EV connected without surpassing network constraints. A new energy-boundary model is also proposed to meet the energy requirements of all EVs, which is based on a recurrent function that depends on the arrival-and-desired energy states of the vehicle to compute its charging trajectory optimally. The effectiveness of the proposed coordination strategy was successfully proven through three scenarios in a laboratory environment, making use of two commercial EVs and a PV inverter in a Power Hardware-in-the-Loop setup.

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“…This will affect the economic viability of PV when the system will be generating less than what it was designed for while also results in green energy wastage. Other mitigation techniques for voltage rise problem are constant power factor control, adaptive droop-based supplementary control, DSTATCOM-Fuel Cell System, and emerging inverter control methods [21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Voltage Regulation Control Using Battery Energy Storage System in Distribution Network With High Pv Penetration Strength

et al. 2021

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In recent years, the increasing integration of PV generations into distribution network systems is becoming a huge concern as it introduces various complications such as voltage rise problems, especially during high PV penetration levels. Conventional mitigation methods using voltage regulating devices are not designed to mitigate this particular problem while emerging methods requires sacrifices in term of cost and profit to be made by PV system owners. Thus, mitigation using a battery energy storage system (BESS) is proposed in this paper, where it is specifically designed to solve the voltage rise problem in the distribution system during high PV penetration. This is achieved by controlling the charging and discharging of the BESS accordingly. To validate the effectiveness of the proposed BESS, a simulation using MATLAB/Simulink software of 25 distributed PV generations with respective loads connected to a distribution network power system is done. The penetration level is set from 0% to 100% and the voltage level is measured at the point of common coupling for each increment. The findings show that the BESS can regulate the voltage rise that occurred during high PV penetration of 80% and 100% from 1.11 p.u. and 1.13 p.u. to an acceptable voltage of 1.01 pu.

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High-economic PV power compensation algorithm to mitigate voltage rise with minimal curtailment

Cited by 14 publications

References 22 publications

A Sensitivity Matrix Approach Using Two-Stage Optimization for Voltage Regulation of LV Networks with High PV Penetration

A Sensitivity Matrix Approach Using Two-Stage Optimization for Voltage Regulation of LV Networks with High PV Penetration

Optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks: An experimental case

Voltage Regulation Control Using Battery Energy Storage System in Distribution Network With High Pv Penetration Strength

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