Reliability Support of Undependable Grid Using Green Energy Systems: Economic Study

Samy, Mohamed; Mosaad, Mohamed I.; El-Naggar, Mohamed; Barakat, Shimaa

doi:10.1109/access.2020.3048487

Cited by 70 publications

(25 citation statements)

References 45 publications

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“…Some factors should be considered while studying the reliability of grid-tied RES. Samy et.al [29] had considered the loss of power supply probability during the designing of hybrid RES. Some studies considered the number of light load hours as a percentage of hours per year, loss of load probability (LOLP).…”

Section: Figure 1 Annual Growth Rate Of Some Ressmentioning

confidence: 99%

“…Many evolutionary computing techniques were presented to solve such multi-objective no-linear optimization problems. From these evolutionary techniques, harmony search [32], multiobjective particle swarm optimization algorithm [29], Harris Hawks optimization [33], and modified adaptive accelerated particle swarm optimization (MAAPSO) [31]. The MAAPSO is converting the well-known PSO technique into an adaptive one by self-adaptation of some PSO parameters.…”

Section: Figure 1 Annual Growth Rate Of Some Ressmentioning

confidence: 99%

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Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

et al. 2021

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Integrating renewable energy sources (RESs) into electrical power systems has gotten highly noticeable among researchers and those interested in electrical energy production due to the increase in energy demands, fossil fuel exhaustion, and ecological effects. PV-based renewable energy generation is one of the essential RESs that has appeared and had played a vital role in electrical power systems recently due to their advantages. In this regard, this paper presents a multi-objective computation problem for optimal siting and the design of grid-tied PV systems to achieve optimum generating reliability, considering some states of different generation probabilities. The proposed paper studies the evaluation of the grid-tied PV systems reliability, the states of generation probabilities, the generation buses availabilities, the capacities of the generation's system in or out of service for each failure state, and the frequency and mean duration of generation failure states. The presented multi-objective computation problem is optimized using a modified adaptive accelerated particle swarm optimization (MAACPSO) algorithm. The effectiveness of the proposed method is demonstrated through IEEE_EPS_24_bus integrated with PV systems. Results revealed the ability of MAACPSO to solve the multi-objective optimization problem presented, consequently supporting the system reliability.

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Section: Figure 1 Annual Growth Rate Of Some Ressmentioning

confidence: 99%

Section: Figure 1 Annual Growth Rate Of Some Ressmentioning

confidence: 99%

Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

et al. 2021

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“…Global warming, environmental pollutions and other destructive effects of fossil fuels-based power generation have led to a growing focus on the use of renewable energies around the world [1]. So, a growing trend can be seen in establishing and exploiting renewable energy power plants (REPPs) [2,3]. This type of power plants is usually integrated with the main grid to increase generation capacity with low pollution.…”

Section: Introductionmentioning

confidence: 99%

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

et al. 2021

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Due to global warming problems and increasing environmental pollution, there is a strong tendency to install and apply renewable energy power plants (REPPs) around the world. On the other hand, with the increasing development of information and communication technology (ICT) infrastructures, power systems are using these infrastructures to act as smart grids. In fact, future modern power systems should be considered as smart grids with many small and large scale REPPs. One of the main problems and challenges of the REPPs is uncertainty and fluctuation of electrical power generation. Accordingly, a suitable solution can be combination of different types of REPPs. So, the penetration rate of large-scale wind-PV farms (LWPF) is expected to increase sharply in the coming years. Given that the LWPFs are added to the grid or will replace fossil fuel power plants, they should be able to play the important roles of synchronous generators such as power low-frequency oscillation (LFO) damping. In this paper, an LFO damping system is suggested for a LWPF, based on a phasor measurement unit (PMU)-based fractionalorder proportional-integral-derivative (FOPID) controller with wide range of stability area and proper robustness to many power system uncertainties. Finally, the performance of the proposed method is evaluated under different operating conditions in a benchmark smart system.

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“…Other works have considered how renewable resources may be essential to improving the resilience of power systems. In this context, some academics have indicated that the performance of PV systems and hybrid systems composed of wind, PV and batteries can increase operational efficiency and improve reliability and resilience after a natural disaster [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures

Beyza

Yusta

2021

Energies

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Power systems face failures, attacks and natural disasters on a daily basis, making robustness and resilience an important topic. In an electrical network, robustness is a network’s ability to withstand and fully operate under the effects of failures, while resilience is the ability to rapidly recover from such disruptive events and adapt its structure to mitigate the impact of similar events in the future. This paper presents an integrated framework for jointly assessing these concepts using two complementary algorithms. The robustness model, which is based on a cascading failure algorithm, quantifies the degradation of the power network due to a cascading event, incorporating the circuit breaker protection mechanisms of the power lines. The resilience model is posed as a mixed-integer optimisation problem and uses the previous disintegration state to determine both the optimal dispatch and topology at each restoration stage. To demonstrate the applicability of the proposed framework, the IEEE 118-bus test network is used as a case study. Analyses of the impact of variations in both generation and load are provided for 10 simulation scenarios to illustrate different network operating conditions. The results indicate that a network’s recovery could be related to the overload capacity of the power lines. In other words, a power system with high overload capacity can withstand higher operational stresses, which is related to increased robustness and a faster recovery process.

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Reliability Support of Undependable Grid Using Green Energy Systems: Economic Study

Cited by 70 publications

References 45 publications

Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures

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