Local and remote control of automatic voltage regulators in distribution networks with different variations and uncertainties: Practical cases study

Nasef, Asmaa Fared; Shaheen, Abdullah M.; Khattab, H.A.

doi:10.1016/j.epsr.2022.107773

Cited by 23 publications

(14 citation statements)

References 44 publications

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“…Furthermore, it is essential to ensure that the voltage at every distribution node and the current flowing through all distribution branches remain within the permissible limits throughout all hours, as stated in reference 48 . …”

Section: Allocation Of Photovoltaic Renewable Energy Sources (Pvres) ...mentioning

confidence: 99%

A pareto strategy based on multi-objective optimal integration of distributed generation and compensation devices regarding weather and load fluctuations

Fettah,

Guia,

Salhi

et al. 2024

Sci Rep

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In this study, we present a comprehensive optimization framework employing the Multi-Objective Multi-Verse Optimization (MOMVO) algorithm for the optimal integration of Distributed Generations (DGs) and Capacitor Banks (CBs) into electrical distribution networks. Designed with the dual objectives of minimizing energy losses and voltage deviations, this framework significantly enhances the operational efficiency and reliability of the network. Rigorous simulations on the standard IEEE 33-bus and IEEE 69-bus test systems underscore the effectiveness of the MOMVO algorithm, demonstrating up to a 47% reduction in energy losses and up to a 55% improvement in voltage stability. Comparative analysis highlights MOMVO's superiority in terms of convergence speed and solution quality over leading algorithms such as the Multi-Objective Jellyfish Search (MOJS), Multi-Objective Flower Pollination Algorithm (MOFPA), and Multi-Objective Lichtenberg Algorithm (MOLA). The efficacy of the study is particularly evident in the identification of the best compromise solutions using MOMVO. For the IEEE 33 network, the application of MOMVO led to a significant 47.58% reduction in daily energy loss and enhanced voltage profile stability from 0.89 to 0.94 pu. Additionally, it realized a 36.97% decrease in the annual cost of energy losses, highlighting substantial economic benefits. For the larger IEEE 69 network, MOMVO achieved a remarkable 50.15% reduction in energy loss and improved voltage profiles from 0.89 to 0.93 pu, accompanied by a 47.59% reduction in the annual cost of energy losses. These results not only confirm the robustness of the MOMVO algorithm in optimizing technical and economic efficiencies but also underline the potential of advanced optimization techniques in facilitating the sustainable integration of renewable energy resources into existing power infrastructures. This research significantly contributes to the field of electrical distribution network optimization, paving the way for future advancements in renewable energy integration and optimization techniques for enhanced system efficiency, reliability, and sustainability.

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Section: Allocation Of Photovoltaic Renewable Energy Sources (Pvres) ...mentioning

confidence: 99%

A pareto strategy based on multi-objective optimal integration of distributed generation and compensation devices regarding weather and load fluctuations

Fettah,

Guia,

Salhi

et al. 2024

Sci Rep

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“…The 12.47 kV AES-Venezuela in the metropolitan area of Caracas that is modeled by 141-node is considered the large-scale test system. The total peak load is 12.19 MW + 6.2894 MVAR [66,67]. Figure 5 displays the second MG configuration where the 141-bus system is modified to include one WT with a capacity of 3 MW connected at bus 50, and five PV generators with ratings of 40, 50, 60, 80, and 100 kW are connected at buses 60, 70, 80, 90, and 100, respectively.…”

Section: Test Systemsmentioning

confidence: 99%

“…6.2894 MVAR [66,67]. Figure 5 displays the second MG configuration where the 141-bus system is modified to include one WT with a capacity of 3 MW connected at bus 50, and five PV generators with ratings of 40, 50, 60, 80, and 100 kW are connected at buses 60, 70, 80, 90, and 100, respectively.…”

Section: Test Systemsmentioning

confidence: 99%

Renewable Energy Micro-Grid Interfacing: Economic and Environmental Issues

et al. 2022

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This paper presents a study on the technical, economic, and environmental aspects of renewable energy resources-based distributed generation units (DGs). These units are connected to the medium-voltage network to create a new structure called a microgrid (MG). Renewable energies, especially wind and solar, are the most important generation units among DGs. The stochastic behavior of renewable resources increases the need to find the optimum operation of the MG. The optimal operation of a typical MG aims to simultaneously minimize the operational costs and the accompanied emission pollutants over a daily scheduling horizon. Several renewable DGs are investigated in the MG, consisting of biomass generators (BGs), wind turbines (WTs), and photovoltaics (PV). For the proposed operating strategy of the MG, a recent equilibrium optimization (EO) technique is developed and is inspired by the mass balance models for a control volume that are used to estimate their dynamic and equilibrium states. The uncertainties of wind speed and solar irradiation are considered via the Weibull and Beta-probability density functions (PDF) with different states of mean and standard deviation for each hour, respectively. Based on the developed EO, the hourly output powers of the PV, WT, and BGs are optimized, as are the associated power factors of the BGs. The proposed MG operating strategy based on the developed EO is tested on the IEEE 33-bus system and the practical large-scale 141-bus system of AES-Venezuela in the metropolitan area of Caracas. The simulation results demonstrate the significant benefits of the optimal operation of a typical MG using the developed EO by minimizing the operational costs and emissions while preserving the penetration level of the DGs by 60%. Additionally, the voltage profile of the MG operation for each hour is highly enhanced where the minimum voltage at each hour is corrected within the permissible limit of [0.95–1.05] Pu. Moreover, the active power losses per hour are greatly reduced.

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“…Therefore, an appropriate uncertainty management method is required to make accurate decisions for the penetration of the RERs in the DNs. An approach for power distribution voltage regulators in medium voltage distribution networks was presented in [40]. The deviation of solar and wind power generations from their predicted or scheduled values was presented in [41].…”

Section: Introductionmentioning

confidence: 99%

Centralized Control Method for Voltage Coordination Challenges With OLTC and D-STATCOM in Smart Distribution Networks Based IoT Communication Protocol

et al. 2023

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This paper proposes a coordination method for the voltage control devices based on optimal settings of the D-STATCOMs, on the load tap changer (OLTC) transformer and the distributed generations (DGs)-based renewable energy resources (RERs). The central controller is introduced to handle the active smart distribution network (SDN) problems to maintain the voltage profile within its permissible limits, minimize power losses in different operating conditions, and minimize the energy wastage from the distributed renewable energy resources. These problems are formulated as a multi-objective optimization problem. With increasing load demand and RERs in the distribution system, voltage coordination threatens real-time efficiency. In this research work, central controller-based Gorilla Troops optimization (GTO) algorithm is proposed to detect the optimum solutions for the voltage coordination problem. The load demand uncertainty and the stochastic nature of power generated from RERs (PV panels and wind turbines) are considered in the voltage coordination problem due to their significant effects on the operation and planning of the SDN. The proposed SDN has been represented based on the Internet of Things (IoT) communication protocol. It enhances the data and information transfer between the system-connected agents. A practical test system, NDEDC-24 bus radial distribution network from the North Delta Electrical Distribution Company and IEEE-33 node system are used to test and evaluate the proposed method. The results are compared with other well-known evolutionary methods. The proposed method obtains more accurate results than the other methods.INDEX TERMS D-STATCOM, distribution network, Internet of Things, on-load tap changer, voltage coordination.

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Local and remote control of automatic voltage regulators in distribution networks with different variations and uncertainties: Practical cases study

Cited by 23 publications

References 44 publications

A pareto strategy based on multi-objective optimal integration of distributed generation and compensation devices regarding weather and load fluctuations

A pareto strategy based on multi-objective optimal integration of distributed generation and compensation devices regarding weather and load fluctuations

Renewable Energy Micro-Grid Interfacing: Economic and Environmental Issues

Centralized Control Method for Voltage Coordination Challenges With OLTC and D-STATCOM in Smart Distribution Networks Based IoT Communication Protocol

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