Optimal scheduling of wind-thermal power system using clustered adaptive teaching learning based optimization

Reddy, S. Surender

doi:10.1007/s00202-016-0382-5

Cited by 42 publications

(29 citation statements)

References 48 publications

(48 reference statements)

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“…Also, the total operating cost of wind power composes of (1) direct cost, (2) uncertainty cost. The direct cost of wind power generation is (Reddy et al 2016;Reddy 2017a):…”

Section: Model Of Wind Power Uncertaintymentioning

confidence: 99%

“…Reddy et al (2016) have demonstrated optimal operation of microgrid using hybrid differential evolution and harmony search algorithm. Reddy (2017a) worked on optimal scheduling of wind-thermal power system using clustered adaptive teaching learning based optimization. Reddy (2017b) suggested optimization of renewable energy resources in hybrid energy systems.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Scheduling of Solar-Wind-Thermal Integrated System Using α-Constrained Simplex Method

Kaur

Brar

Dhillon

2020

IJRED

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In this paper, multi-objective economic-environmental solar-wind-thermal power scheduling model was developed and it was optimized for five test systems. First test system was based upon a purely thermal power generating system and its problem was formulated to satisfy three conflicting objectives: (i) fuel cost, (ii) emission, and (iii) emission. The second, third and fourth test systems were comprised of optimal scheduling of integrated solar-thermal, wind-thermal and solar-wind-thermal power systems, respectively. Uncertainty costs were also considered in the renewable power based systems. These four test systems were examined for five power demands i.e. 200 MW, 225 MW, 250 MW, 275 MW, & 300 MW. Fifth test system was also deployed upon a renewable-thermal power scheduling. The effects of variation in number of thermal generators on fuel cost and emission were perceived, for a power demand of 400 MW. The values of fuel cost (4067.98 Rs/h) and emission (2,441.05 kg/h) reduced to 3,232.94 Rs/h and 1,939.30 kg/h, respectively, when number of thermal generators were reduced from four to two. The -constrained simplex method (ACSM) was used for simulation and the results were compared with simplex method (SM). The results clearly depict the dominance of ACSM over SM in almost all the fields.

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“…Also, the total operating cost of wind power composes of (1) direct cost, (2) uncertainty cost. The direct cost of wind power generation is (Reddy et al 2016;Reddy 2017a):…”

Section: Model Of Wind Power Uncertaintymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling of Solar-Wind-Thermal Integrated System Using α-Constrained Simplex Method

Kaur

Brar

Dhillon

2020

IJRED

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“…• Requires large generation station and close proximity to a water reservoir. PHES system is a well-developed means of storage and is important due to its capability in handling very large power, covering a range from about (200-2000) MW [37]. They don't release any green house gasses and uses renewable energy as fuel source.…”

Section: Pumped Hydro Energy Storage (Phes) Systemmentioning

confidence: 99%

Comparative analysis of storage techniques for a grid with renewable energy sources

Salkuti

Jung

2018

IJET

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This paper presents the comparative analysis of different energy storage techniques used in the utility grid connected with the renewable energy sources (RESs). Energy storage is required to match the demand and supply of energy. However, with the integration of RESs to the grid increases the mismatch between the supply and demand due to the intermittence of RESs. In this paper, it is shown that the energy stor-age systems provide a better solution to the integration of different RESs to the existing grid. The energy storage systems are the key com-ponents for replacing the conventional fossil fuel plants with RESs. It is hard to evaluate the different types of energy storage techniques between themselves due to the fact that each technology could be used in a different way and are more like compliments. Further, research needs to be done on storage techniques to continue to increase the benefits while reducing the associated costs. The energy storage tech-niques show great potential to help the RESs and smart grid to meet the world’s growing energy demand. This paper has presented the comparative analysis of various energy storage systems in terms of their design, cost, geographical location, advantages and disadvantages.

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“…Research [21] further links up the day-ahead scheduling and real-time scheduling by a more meticulous generation dispatch mode to formulate a comprehensive strategy. Researches [22][23][24][25][26] introduce the market mechanism to ensure the economic efficiency of power system considering the risk due to uncertainties. The overestimation and underestimation costs of the renewable energy sources are considered in the objective, which is similar to the upregulation and downregulation in the adjustment stage.…”

Section: Introductionmentioning

confidence: 99%

The Integration of Wind-Solar-Hydropower Generation in Enabling Economic Robust Dispatch

Peng

Liu

2019

Mathematical Problems in Engineering

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Currently the renewable energies including wind power and photovoltaic power have been increasingly deployed in power system to achieve contamination free and environmental-friendly power production. However, due to the natural characteristics of wind and solar, both wind power and photovoltaic power contain uncertainty and randomness which may significantly impact the stability, security, and economic efficiency of the conventional power system mainly consisted by hydropower and thermal power. To deal with the issue, this paper presents a two-stage robust model which is able to achieve the optimal day-ahead dispatch strategy in the worst-case scenario of wind and photovoltaic outputs. Because of the strong interactions between the two stages, the original optimization has been decomposed into the day-ahead dispatch master problem and the additional adjustment subproblem considering the uncertainty and randomness of the wind and the photovoltaic outputs. Also, the piecewise linearization technique is employed to convert the original problem into a MILP problem. Afterward, the dualization of the additional adjustment subproblem can be obtained by using linear programming strong duality theory. Additionally, the Big-M method enables the linearization of the dual model. The interacted-iterations between the master problem and the subproblem are successfully implemented which can ultimately figure out the optimal day-ahead dispatch strategy of the power system with conventional and renewable energies.

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Optimal scheduling of wind-thermal power system using clustered adaptive teaching learning based optimization

Cited by 42 publications

References 48 publications

Optimal Scheduling of Solar-Wind-Thermal Integrated System Using α-Constrained Simplex Method

Optimal Scheduling of Solar-Wind-Thermal Integrated System Using α-Constrained Simplex Method

Comparative analysis of storage techniques for a grid with renewable energy sources

The Integration of Wind-Solar-Hydropower Generation in Enabling Economic Robust Dispatch

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