Reliability enhancement of electrical power system including impacts of renewable energy sources: a comprehensive review

Kumar, Sanjay; Saket, R. K.; Dheer, Dharmendra Kumar; Holm‐Nielsen, Jens Bo; Padmanaban, Sanjeevikumar

doi:10.1049/iet-gtd.2019.1402

Cited by 80 publications

(31 citation statements)

References 117 publications

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“…The Renewable energy sources (RES) are gaining huge popularity in the mainstream power-systems [13]. The native power systems generally needs some modifications for meeting strong requirements of rapid increase of the electricity consumption, uninterruptable power in urban and rural areas [40]. The renewable energy sources gradually replaces the one way power-transmission, and generally, the RES are small machines, low inertia driven by the sources like waves, hydro, solar as well as wind [41].…”

Section: Recent Trends Of Renewable Energy Sourcesmentioning

confidence: 99%

A Comprehensive Survey on the Impact of Renewable Energy Sources in Power System Operation and Control

Tatikayala¹,

Dixit²

2021

Preprint

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The concern for huge increasing electricity demand, fossil fuel depletion, developed infrastructure reliability, carbon footprint reduction insisted the power utility companies to uptake RES (Renewable Energy Sources). The improved adoption of RES like wind energy and solar energy into the prevailing transmission and distribution networks led to several problems. These problems could be rectified by optimizing the power system parameters like frequency response, inertia, stability, battery usage, efficiency and power loss. This review hence provide a comprehensive analysis on the impact of renewable energy sources like wind and solar energy on power system operation and control in accordance with the major findings of the existing works. This review highlights the difficulties in the installation of solar and wind power with adoptable solutions. The challenges of power systems regarding the encoding of non-linearized function could be rectified by AI (Artificial Intelligence). The paper also insists the importance of artificial intelligence algorithm in the optimization of power system parameters. Artificial intelligence methods is useful for resolving various issues in power systems such as control, scheduling, forecasting etc. Few artificial algorithms such as Atom search optimization, Particle swarm optimization, Salp swarm optimization were investigated in this review for improving the performance of the power system. In spite of optimization analysis, the paper investigate various storage system types for improving the power system in accordance with cost, application and operation characteristics. Proper understanding of these systems is necessary for the future designing and hence through revision of state of art characteristics has been performed in this paper.

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Section: Recent Trends Of Renewable Energy Sourcesmentioning

confidence: 99%

A Comprehensive Survey on the Impact of Renewable Energy Sources in Power System Operation and Control

Tatikayala¹,

Dixit²

2021

Preprint

View full text Add to dashboard Cite

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“…In addition, the microgrid should provide renewable hybrid energy sources in view of the abundance of energy sources, the need for load and fast installation of the energy storage system of a micro grid and hybrid [16], [17]. Biomass, solar and wind are the fastest-growing Renewable Energy RE, since they are ecologically sound, simple to deploy, and high-tech resources [18], [19].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review of Microgrid Control Mechanism and Impact Assessment for Hybrid Renewable Energy Integration

et al. 2021

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This paper describes a comprehensive review of microgrid control mechanism and impact assessment for hybrid grid. Building the model of sustained energy growth is one of the actions to achieve the Sustainable Development Objective (SDO) and change the global fossil fuel system. For co-operation in the development of one independent supplier of renewable energy, the microgrid is essential. Hybrid solar energy microgrid is also a solution for reducing fossil fuel consumption and providing an environmentally sustainable solution to rising rural electricity demand. The most common renewable energy options in the microgrid are solar photovoltaics, wind turbines and biomass. The environmentally sustainable and technologically innovative installation is convenient everywhere. Hybrid microgrid-based renewable energy, however, is confronted, given its intermittent and variable source efficiency, by challenges such as voltage instability, frequency instability, charge malfunction and power quality problems. The paper thus offers a critical overview of the micro grid growth, economic analysis and control strategy.

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“…To cope with the fossil energy crisis and environmental pollution, many countries around the world are vigorously developing distributed energy, which can promote the transformation of low-carbon and intelligent power system (Xu et al, 2020;Kumar et al, 2020;An et al, 2020;Suh et al, 2017). However, the distributed energy and loads, such as wind power, photovoltaic and electric vehicles, are intermittent and stochastic (Solanki et al, 2017;Xi et al, 2015;Zhang et al, 2021;Mukherjee and Gupta, 2016;Wang, 2020).…”

Section: Introductionmentioning

confidence: 99%

Automatic Generation Control for Distributed Multi-Region Interconnected Power System with Function Approximation

Liu

Zhang

et al. 2021

Front. Energy Res.

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Solving the energy crisis and environmental pollution requires large-scale access to distributed energy and the popularization of electric vehicles. However, distributed energy sources and loads are characterized by randomness, intermittence and difficulty in accurate prediction, which bring great challenges to the security, stability and economic operation of power system. Therefore, this paper explores an integrated energy system model that contains a large amount of new energy and combined cooling heating and power (CCHP) from the perspective of automatic generation control (AGC). Then, a gradient Q(σ,λ) [GQ (σ,λ)] algorithm for distributed multi-region interconnected power system is proposed to solve it. The proposed algorithm integrates unified mixed sampling parameter and linear function approximation on the basis of the Q(λ) algorithm with characteristics of interactive collaboration and self-learning. The GQ (σ,λ) algorithm avoids the disadvantages of large action spaces required by traditional reinforcement learning, so as to obtain multi-region optimal cooperative control. Under such control, the energy autonomy of each region can be achieved, and the strong stochastic disturbance caused by the large-scale access of distributed energy to grid can be resolved. In this paper, the improved IEEE two-area load frequency control (LFC) model and the integrated energy system model incorporating a large amount of new energy and CCHP are used for simulation analysis. Results show that compared with other algorithms, the proposed algorithm has optimal cooperative control performance, fast convergence speed and good robustness, which can solve the strong stochastic disturbance caused by the large-scale grid connection of distributed energy.

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Reliability enhancement of electrical power system including impacts of renewable energy sources: a comprehensive review

Cited by 80 publications

References 117 publications

A Comprehensive Survey on the Impact of Renewable Energy Sources in Power System Operation and Control

A Comprehensive Survey on the Impact of Renewable Energy Sources in Power System Operation and Control

A Comprehensive Review of Microgrid Control Mechanism and Impact Assessment for Hybrid Renewable Energy Integration

Automatic Generation Control for Distributed Multi-Region Interconnected Power System with Function Approximation

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