Reliability evaluation of electric power systems with solar photovoltaic &amp;amp; energy storage

Koh, Leong Hai; Wang, Peng; Tseng, King Jet; Gao, Zhiyong

doi:10.1109/pmaps.2014.6960599

Cited by 16 publications

(7 citation statements)

References 19 publications

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“…The type of turbine used (variable x1) determines its power curve and at the same time the power generated in the moments specified by available wind speed samples. In the case of turbine, several variants are available differing in the installation height of the rotor (variable x2), which, according to Equation (2) to the vertical profile of wind speed variations, also affects the level of power generated by the turbine. The number of turbines specified by the variable x3 allows obtaining the nominal power of the PWFn farm assumed in the algorithm.…”

Section: Purpose Of Optimisation Function and Constraintsmentioning

confidence: 99%

“…This trend can be observed for both low-power sources, which typically supply individual facilities (including, in particular, photovoltaic systems) and high-power facilities, such as water power plantsas well as wind and photovoltaic farms [1,2]. In some countries, the share of renewable energy sources (RES) in the power grid is greater than the share of conventional sources (Norway is the leader in this field; 98% of electricity in Norway is generated by renewable power plants-mainly water power plants) [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…The assessment of the ESS effectiveness and profitability of their use is of paramount importance. The issue was mentioned in papers [2,12,22,23].…”

Section: Introductionmentioning

confidence: 99%

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Optimisation of the Structure of a Wind Farm—Kinetic Energy Storage for Improving the Reliability of Electricity Supplies

Tomczewski

Kasprzyk

2018

Applied Sciences

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An important issue in the correct operation of the power system is the reliability of the electricity supply from generation systems. This particular problem especially concerns renewable sources, the output power of which is variable over time and additionally has a stochastic character. The solution used in the work to improve the reliability indicators of wind farm sources is the partial stabilization of their output power achieved through cooperation with the kinetic energy storage. Excessive increase in storage capacity is associated with a large increase in investment and operating costs. It is therefore important to determine the minimum storage capacity required to maintain the accepted criteria for the reliability of energy supply. In this paper, a population meta-heuristics algorithm was used for this purpose. The obtained results confirm the possibility of limiting the energy capacity of the flywheels, they also indicate its non-linear character as a function of selected parameters of the reliability of energy supplies from wind farms.

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Section: Purpose Of Optimisation Function and Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimisation of the Structure of a Wind Farm—Kinetic Energy Storage for Improving the Reliability of Electricity Supplies

Tomczewski

Kasprzyk

2018

Applied Sciences

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“…Evaluation of the PSR is more crucial nowadays due to today's randomly changing power system behaviors because of the penetration of disturbed energy sources such as PV, wind energy and electric vehicle (EV). More accurate PSR evaluation techniques are needed in order to handle changes in system such as aging of electrical devices in the system [12]. Thus, the power systems equipment is also particularly concerned with their failure indices [13].…”

Section: Introductionmentioning

confidence: 99%

Power System Reliability Assessment— A Review on Analysis and Evaluation Methods

GARİP¹,

Özdemir²,

Altın³

2022

Journal of Energy Systems

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The structures of power systems and their capacity have been updated significantly from time to time. Therefore, a reliability analysis is an essential issue in the planning, designing, and operation of electric power systems. Thus, a number of methods have been proposed. These are grouped as analytical based methods, simulation-based methods, and hybrid methods. Some methods like Monte Carlo, Markov etc., developed and some indices such as interruption indices, energy-oriented indices, are used for the evaluation. The purpose of this review study is to investigate the reliability analysis approaches, methods and difficulties, and to report importance of the reliability analysis in power systems. Therefore, reliability indices and evaluation methods and models of evaluation of power system are listed and explained. Besides, modeling and computational burden and complexity and problems are discussed. The importance of reliability analysis for emerging power systems is examined and explained.

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“…This is fortunate because PV has an excellent ecological balance sheet [20] and an established path to a sustainable future [21]. PV, which can be used as a distributed generation (DG) technology [22], also benefits the electrical system with (i) improved reliability [23][24][25], (ii) enhanced power quality [26], and (iii) reduced transmission and distribution losses [27]. These factors are all contributing to widespread deployment of PV and a reduction in the role of fossil fuels, and their concomitant greenhouse gas emissions (GHG) [28].…”

Section: Introductionmentioning

confidence: 99%

Economics of Grid-Tied Solar Photovoltaic Systems Coupled to Heat Pumps: The Case of Northern Climates of the U.S. and Canada

Pearce

Sommerfeldt

2021

Energies

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Solar photovoltaic (PV) technology is now a profitable method to decarbonize the grid, but if catastrophic climate change is to be avoided, emissions from transportation and heating must also decarbonize. One approach to renewable heating is leveraging improvements in PV with heat pumps (HPs). To determine the potential for PV+HP systems in northern areas of North America, this study performs numerical simulations and economic analysis using the same loads and climate, but with local electricity and natural gas rates for Sault Ste. Marie, in both Canada and U.S. Ground-mounted, fixed-tilt, grid-tied PV systems are sized to match 100% of electric loads considering cases both with and without air source HPs for residences with natural gas-based heating. For the first time the results show North American residents can profitably install residential PV+HP systems, earning up to 1.9% return in the U.S. and 2.7% in Canada, to provide for all of their electric and heating needs. Returns on PV-only systems are higher, up to 4.3%; however, the PV capacities are less than half. These results suggest northern homeowners have a clear and simple method to reduce their greenhouse gas emissions by making an investment that offers a higher internal rate of return than savings accounts, CDs and GICs in both countries. Residential PV and solar-powered heat pumps can be considered 25-year investments in financial security and environmental sustainability.

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Reliability evaluation of electric power systems with solar photovoltaic & energy storage

Cited by 16 publications

References 19 publications

Optimisation of the Structure of a Wind Farm—Kinetic Energy Storage for Improving the Reliability of Electricity Supplies

Optimisation of the Structure of a Wind Farm—Kinetic Energy Storage for Improving the Reliability of Electricity Supplies

Power System Reliability Assessment— A Review on Analysis and Evaluation Methods

Economics of Grid-Tied Solar Photovoltaic Systems Coupled to Heat Pumps: The Case of Northern Climates of the U.S. and Canada

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