Distributed Load Shedding considering the Multicriteria Decision-Making Based on the Application of the Analytic Hierarchy Process

Le, Trong Nghia; Nguyẽ̂n, An; Hoang, Thi Trang; Nguyen, Hoang Minh Vu; Quyen, Anh Huy; Phan, Binh

doi:10.1155/2021/6834501

Cited by 5 publications

(5 citation statements)

References 40 publications

(45 reference statements)

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“…Case study 1: Compares the recovery frequency of the proposed method and the under-frequency load shedding method (UFLS). For the case study, the load shedding capacity according to the UFLS method [32,33] Distribute the load shedding power for the each load bus L i…”

Section: Testing System Model-resultsmentioning

confidence: 99%

Optimize Ranking and Load Shedding in Microgrid Considering Improved Analytic Hierarchy Process Algorithm and Power Stability Index

Le,

Nguyen,

Nguyen

et al. 2023

Mathematical Problems in Engineering

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This paper proposes a load shedding model for the island microgrid based on the ranking of loads and the power stability index (PSI). Loads are ranked based on the improved analytic hierarchy process (AHP) algorithm. Real-time measurement systems have the function of collecting data for very important, important, and less-important loads at each bus load. From this data, the improved AHP method is applied to rank the loads. The advantage of this method is that the subjectivity is eliminated and not depending on the expertise of the system operator when implementing the traditional AHP method. Besides, the minimum amount of load shedding power is calculated, taking into account both primary and secondary control methods. The objective is to minimize the impact on power consumers and ensure that the frequency returns to an acceptable range. In addition, when implementing load shedding, voltage quality, and stability are considered. The PSI serves as a crucial parameter for assessing the voltage stability of microgrid buses. This index is combined with load ranking weights to obtain combined weights for the load shedding plan. Consequently, the proposed load shedding plan prioritizes minimizing damage to customers, improving voltage quality and stability, and ensuring frequency is within permissible limits. The 16-bus microgrid system is applied to compare with traditional methods and to prove the efficiency of the suggested technique.

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Section: Testing System Model-resultsmentioning

confidence: 99%

Optimize Ranking and Load Shedding in Microgrid Considering Improved Analytic Hierarchy Process Algorithm and Power Stability Index

Le,

Nguyen,

Nguyen

et al. 2023

Mathematical Problems in Engineering

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“…Among the analyzed schemes, the Italian scheme stands out, which starts its operation at 49.1 Hz and reaches a 60% load shedding at the last threshold, which corresponds to 47.5 Hz. On the other hand, some authors are concerned about other variables that affect or are affected by load shedding, so in [37], the voltage stability limit is considered within the proposed UFLS scheme, and in [38], the load importance factor (LIF), the reciprocal phase angle sensitivity (RPAS), and the voltage electrical distance (VED) are considered.…”

Section: A Traditional Uflsmentioning

confidence: 99%

UFLS and Smart Load for Frequency Regulation in Electrical Power System: A Review

Bustamante,

gonzález,

López

et al. 2023

IEEE Access

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The frequency of an electrical power system can be interpreted as an indicator of the equilibrium between generation and demand. Under fault conditions where this balance is disrupted, the Under-Frequency Load Shedding scheme is typically the ultimate resource employed to prevent the frequency from dropping to undesirable thresholds that could lead to a blackout. Smart loads have the capability to dynamically adjust their consumption in response to frequency variations, which has the potential to enhance frequency regulation and mitigate the need for abrupt load disconnection through the Under-Frequency Load Shedding scheme. The objective of this paper is to present a literature review of Under-Frequency Load Shedding schemes, an innovative approach to their classifications, and the introduction of a new category within these schemes that incorporates smart loads. Additionally, an overview of smart loads is included to be potentially employed in the design of new schemes and contribute to a shift in the operation philosophy, considering that the primary mission of electric power systems is to provide energy to loads rather than disconnecting them. INDEX TERMSUnder frequency load shedding (UFLS), Smart Loads, Frequency control, Inverter based load (IBL), Converter based load, Frequency response, Frequency regulation.

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“…A hierarchical model of the importance comparison of load centers and loads to each other proposed by a system expert or operator is shown in Figure 1. The steps to implement the AHP algorithm are detailed in [5]. The AHP hierarchical model includes load centers and load units.…”

Section: The Load Shedding Control Strategymentioning

confidence: 99%

“…Currently, many new load shedding methods apply intelligent algorithms. In [5], the decisionmaking technique in load shedding is presented using the AHP algorithm. In [6], the application of the Ant Colony Optimization (ACO) algorithm is presented in optimizing the amount of load shedding power.…”

Section: Introductionmentioning

confidence: 99%

Load Shedding in Microgrids with Dual Neural Networks and AHP Algorithm

Nhung

Phung²,

et al. 2022

Eng. Technol. Appl. Sci. Res.

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This paper proposes a new load shedding method based on the application of a Dual Neural Network (NN). The combination of a Back-Propagation Neural Network (BPNN) and of Particle Swarm Optimization (PSO) aims to quickly predict and propose a load shedding strategy when a fault occurs in the microgrid (MG) system. The PSO algorithm has the ability to search and compare multiple points, so the proposed NN training method helps determine the link weights faster and stronger. As a result, the proposed method saves training time and achieves higher accuracy. The Analytic Hierarchy Process (AHP) algorithm is applied to rank the loads based on their importance factor. The results of the ratings of the loads serve as a basis for constructing the load shedding strategies of a NN combined with the PSO algorithm (ANN-PSO). The proposed load shedding method is tested on an IEEE 25-bus 8-generator MG power system. The simulation results show that the frequency recovery of the power system is positive. The proposed neural network adapts well to the simulated data of the system and achieves high performance in fault prediction.

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Distributed Load Shedding considering the Multicriteria Decision-Making Based on the Application of the Analytic Hierarchy Process

Cited by 5 publications

References 40 publications

Optimize Ranking and Load Shedding in Microgrid Considering Improved Analytic Hierarchy Process Algorithm and Power Stability Index

Optimize Ranking and Load Shedding in Microgrid Considering Improved Analytic Hierarchy Process Algorithm and Power Stability Index

UFLS and Smart Load for Frequency Regulation in Electrical Power System: A Review

Load Shedding in Microgrids with Dual Neural Networks and AHP Algorithm

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