Fractional PSOGSA Algorithm Approach to Solve Optimal Reactive Power Dispatch Problems With Uncertainty of Renewable Energy Resources

Khan, Noor Habib; Wang, Yong; Tian, De; Jamal, Raheela; Ebeed, Mohamed; Deng, Qirong

doi:10.1109/access.2020.3039571

Cited by 28 publications

(18 citation statements)

References 47 publications

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“…The base case is considered with optimal allocation of the FACTS devices with active 7.11 MW and is reported to 3.73016($), respectively. While, in case of without optimal allocation of FACTS devices, the base case for active power loss is 5.811 MW [45] and for is 0.8691 p.u. [21], respectively.…”

Section: A Considering With and Without Optimal Allocaiton Of Facts mentioning

confidence: 99%

A Novel Modified Lightning Attachment Procedure Optimization Technique for Optimal Allocation of the FACTS Devices in Power Systems

et al. 2021

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The Flexible AC Transmission Systems (FACTS) are the static power electronic devices that are installed and used in AC transmission networks to enhance the capability of transferring the power for providing the controllability and stability. However, the optimization of site and size of these devices is a crucial task due to their high capital cost and practical capabilities. In this paper, the optimal reactive power dispatch (ORPD) embedded with two effective controllers including the Static VAR Compensator (SVC) and Thyristor Control Series Capacitor (TCSC) is solved using a Modified Lightning Attachment Procedure Optimizer (MLAPO). The searching capability of basic LAPO is enhanced and the stagnation of basic LAPO is avoided by application of levy flight distribution and spiral orientation motion. The optimization for these devices is for reducing the power losses, voltage deviations, and the operating cost. MLAPO is examined and tested on modified IEEE30 and IEEE57 bus-standards considering SVC and TCSC. The effectiveness of MLAPO is further analyzed and compared with the outcomes of the well-known optimization techniques namely LAPO, PSO, ALO, EO, MPA, WOA and SCA with and without FACTS devices.

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Section: A Considering With and Without Optimal Allocaiton Of Facts mentioning

confidence: 99%

A Novel Modified Lightning Attachment Procedure Optimization Technique for Optimal Allocation of the FACTS Devices in Power Systems

et al. 2021

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“…One of the most practical approaches for modeling load and RES uncertainties is scenario-based techniques. The scenario analysis approach's key concept is that several scenarios are created to present short-term and long-term load, wind speed, and solar radiation variations [8,23,24]. Then, the G&TEP problem is solved to determine the best solution for each scenario.…”

Section: Uncertainty Modelingmentioning

confidence: 99%

A Mathematical Approach to Simultaneously Plan Generation and Transmission Expansion Based on Fault Current Limiters and Reliability Constraints

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Aleem²,

Atia

et al. 2021

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Today, generation and transmission expansion planning (G&TEP) to meet potential load growth is restricted by reliability constraints and the presence of uncertainties. This study proposes the reliability constrained planning method for integrated renewable energy sources and transmission expansion considering fault current limiter (FCL) placement and sizing and N-1 security. Moreover, an approach for dealing with uncertain events is adopted. The proposed planning model translates into a mixed-integer non-linear programming model, which is complex and not easy to solve. The problem was formulated as a tri-level problem, and a hybridization framework between meta-heuristic and mathematical optimization algorithms was introduced to avoid linearization errors and simplify the solution. For this reason, three meta-heuristic techniques were tested. The proposed methodology was conducted on the Egyptian West Delta system. The numerical results demonstrated the efficiency of integrating G&TEP and FCL allocation issues in improving power system reliability. Furthermore, the effectiveness of the hybridization algorithm in solving the suggested problem was validated by comparison with other optimization algorithms.

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“…The ORPD problem considering load uncertainty has been solved using an enhanced grey wolf optimizer (EGWO) in [33]. ORPD with uncertainties in load demand and renewable energy sources has been solved based on SHADE algorithm [34], Fractional Calculus with Particle Swarm Optimization Gravitational Search Algorithm (FPSOGSA) [35], and improved lightning attachment procedure optimization (ILAPO) [36]. In [37], Marine Predators Algorithm (MPA) has been used for solving ORPD problems with time-varying load, wind, and solar energy uncertainties.…”

Section: Iintroductionmentioning

confidence: 99%

Optimal Reactive Power Dispatch With Time-Varying Demand and Renewable Energy Uncertainty Using Rao-3 Algorithm

et al. 2021

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The appropriate control and management of reactive power is of great relevance in the electrical reliability, stability, and security of power grids. This issue is considered in order to increase system efficiency and to maintain voltage under the acceptable value range. In this regard, novel technologies as FACTS, renewable energies, among others, are varying conventional grid behavior leading to unexpected limit capacity reaching due to large reactive power flow. Thus, optimal planning of this must be considered. This paper proposes a new application for a simple and easy implementation optimization algorithm, called Rao-3, to solve the constrained non-linear optimal reactive power dispatch problem. Moreover, the integration of solar and wind energy as the most applied technologies in electric power systems are exploited. Due to the continuous variation and the natural intermittence of wind speed and solar irradiance as well as load demand fluctuation, the uncertainties which have a global concern are investigated and considered in this paper. The proposed single-objective and multi-objective deterministic/stochastic optimal reactive power dispatch algorithms are validated using three standard test power systems, namely IEEE 30-bus, IEEE 57-bus, and IEEE 118-bus. The simulation results show that the proposed optimal reactive power dispatch algorithms are superior compared with two recent algorithms (Artificial electric field algorithm (AEFA) and artificial Jellyfish Search (JS) algorithm) and other optimization algorithms used for solving the same problem. INDEX TERMS renewable energy; uncertainty; time-varying demand, optimal reactive power dispatch (ORPD); RAO algorithm, backward reduction algorithm

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Fractional PSOGSA Algorithm Approach to Solve Optimal Reactive Power Dispatch Problems With Uncertainty of Renewable Energy Resources

Cited by 28 publications

References 47 publications

A Novel Modified Lightning Attachment Procedure Optimization Technique for Optimal Allocation of the FACTS Devices in Power Systems

A Novel Modified Lightning Attachment Procedure Optimization Technique for Optimal Allocation of the FACTS Devices in Power Systems

A Mathematical Approach to Simultaneously Plan Generation and Transmission Expansion Based on Fault Current Limiters and Reliability Constraints

Optimal Reactive Power Dispatch With Time-Varying Demand and Renewable Energy Uncertainty Using Rao-3 Algorithm

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