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

Ge, Xiaohui; Shen, Lu; Zheng, Chunmiao; Li, Peng; Dou, Xiaobo

doi:10.3390/en13215789

Cited by 4 publications

(4 citation statements)

References 42 publications

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“…In order to find the optimum solution to the centralized control method in mitigating voltage violations, many optimization techniques have been researched. Among these, SQP [52], Nonlinear Programming (NLP) [62,63], the Evolutionary Algorithm [64], Lagrangian multipliers [65], the Multi-Objective Evolutionary Algorithm (MOEA) [66] and Particle Swarm Optimization (PSO) [55,67] have been widely used. In order to act as a viable near-real-time system, the accuracy and the computational time of the algorithm play a key role.…”

Section: How the Sensitivity Matrix Was Developed References Disadvantages Of The Methodsmentioning

confidence: 99%

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

et al. 2021

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The occurrence of voltage violations is a major deterrent for absorbing more rooftop solar power into smart Low-Voltage Distribution Grids (LVDGs). 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 was developed to estimate the 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 Photovoltaic (PV) inverters with minimal active power curtailment to mitigate the voltage violation problem. The developed sensitivity matrix is able to reduce the time consumed by 55.1% compared to load flow simulations, enabling near-real-time 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 failure of standalone PSO to converge to a feasible solution for 34% of the scenarios evaluated further validates the necessity of the two-stage optimization using FRS. The performance of the proposed methodology was analysed 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 deviations of the mean voltages of the proposed methodology from the load flow method were: 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: How the Sensitivity Matrix Was Developed References Disadvantages Of The Methodsmentioning

confidence: 99%

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

et al. 2021

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show abstract

“…In order to find the optimum solution to the centralized control method in mitigating voltage violations, many optimization techniques have been experimented. Among these SQP [50], Non-Linear Programming (NLP) [62,63], Evolutionary Algorithm [64], Langrangian multipliers [65], Multi-Objective Evolutionary Algorithm (MOEA) [66] and Particle Swarm Optimization (PSO) [54], [67] algorithms were widely used. In order to act as a viable near real-time system, the accuracy and the computational time of the algorithm plays a key role.…”

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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“…The control problem is solved using a sophisticated branch-and-bound algorithm, with an ADMM-based solver for mixed-integer quadratic programming (MIQP) problems. Reference [17] introduces a novel strategy for reactive power and voltage optimization over multi-periods, featuring a decoupling rolling approach. This approach accounts for the strong time-based interconnections between different devices, including PVs and OLTCs.…”

Section: Advanced Hierarchical and Predictive Controlmentioning

confidence: 99%

Voltage Optimization in Active Distribution Networks—Utilizing Analytical and Computational Approaches in High Renewable Energy Penetration Environments

Alshehri,

Yang

2024

Energies

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This review paper synthesizes the recent advancements in voltage regulation techniques for active distribution networks (ADNs), particularly in contexts with high renewable energy source (RES) penetration, using photovoltaics (PVs) as a highlighted example. It covers a comprehensive analysis of various innovative strategies and optimization algorithms aimed at mitigating voltage fluctuations, optimizing network performance, and integrating smart technologies like smart inverters and energy storage systems (ESSs). The review highlights key developments in decentralized control algorithms, multi-objective optimization techniques, and the integration of advanced technologies such as soft open points (SOPs) to enhance grid stability and efficiency. The paper categorizes these strategies into two main types: analytical methods and computational methods. In conclusion, this review underscores the critical need for advanced analytical and computational methods in the voltage regulation of ADNs with high renewable energy penetration levels, highlighting the potential for significant improvements in grid stability and efficiency.

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

Cited by 4 publications

References 42 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

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

Voltage Optimization in Active Distribution Networks—Utilizing Analytical and Computational Approaches in High Renewable Energy Penetration Environments

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