Market clearing for a wind-thermal power system incorporating wind generation and load forecast uncertainties

Reddy, S. Surender; Abhyankar, A. R.; Bijwe, P.R.

doi:10.1109/pesgm.2012.6345335

Cited by 43 publications

(39 citation statements)

References 21 publications

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“…The Weibull distribution function can be used to describe random behaviour of wind speed (v). The Weibull PDF is expressed as [20,21],…”

Section: Modeling Of Power Output From Wind Energy Generator (Weg)mentioning

confidence: 99%

“…The factors k and α are calculated using the mean wind speed (V m ), and the standard deviations (σ) as shown below, Figure 1 depicts the wind generator power output (P W ) as a function of wind speed [20,22]. The wind generator power output can be expressed as [23],…”

Section: Modeling Of Power Output From Wind Energy Generator (Weg)mentioning

confidence: 99%

“…An economic dispatch (ED) model for the power system with thermal and wind generators is proposed in [20], where the probability of stochastic wind power is considered as a constraint. Reference [21] proposes a market clearing mechanism for wind-thermal power system including uncertainties in wind power and load forecasts.An energy and spinning reserve market clearing method for wind-thermal power system considering total cost and system-risk-level minimization as objectives is proposed in [22]. A genetic algorithm based search procedure is used in [23] to accomplish the adequacy assessment for power generating system including wind energy generators.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Renewable Energy Resources in Hybrid Energy Systems

Reddy

2017

JGE

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This paper proposes the optimization of renewable energy resources (RERs) in the hybrid energy systems in a sustainable hybrid energy system. The behavior of renewable energy is uncertain and it is difficult for static optimization methods to optimize the uncertain non-stationary distributed energy resources in the hybrid system. A multi-objective based on the stochastic technique for optimizing total system losses and operating cost is formulated for the hybrid energy system. The proposed objective function aims to minimize the system losses and the total operating cost of RERs in different locations of the grid. In this paper, a next generation of grid connected RERs and load demand is proposed by considering the variability and uncertainty. Here, a robust stochastic approach is proposed by using the various probability distribution functions to represent the statistics of RERs. The simulation results of this paper handle the system operations under uncertainty. The proposed approach is tested on IEEE 37 node distribution system. The simulation results show the effectiveness of the proposed optimization approach in the hybrid energy system.

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“…The Weibull distribution function can be used to describe random behaviour of wind speed (v). The Weibull PDF is expressed as [20,21],…”

Section: Modeling Of Power Output From Wind Energy Generator (Weg)mentioning

confidence: 99%

Section: Modeling Of Power Output From Wind Energy Generator (Weg)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of Renewable Energy Resources in Hybrid Energy Systems

Reddy

2017

JGE

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“…Here, the Weibull probability distribution function (PDF) for the wind speed is assumed, and then transformed to the corresponding wind power distribution for use in the market clearing model. Wind speed is modeled by using Weibull PDF, and is described in [26,36]. [37] is used to establish the effectiveness of the proposed energy and spinning reserves (SRs) market clearing approach.…”

Section: Probabilistic Rt-opf Modelmentioning

confidence: 99%

Optimum day-ahead clearing of energy and reserve markets with wind power generation using anticipated real-time adjustment costs

Reddy

Bijwe

Abhyankar

2015

International Journal of Electrical Power & Energy Systems

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“…The use of renewable energy such as wind power and hydropower can reduce greenhouse gas emissions from fossil fuels. Wind power is one of the fastest-growing sources, however it is uncertain and cannot be scheduled due to its intrinsic dependence on varying weather conditions over many years [2,3]. Solar power is less uncertain, but has higher variability compared to wind power [4].…”

Section: Introductionmentioning

confidence: 99%

A Gradient-Based Cuckoo Search Algorithm for a Reservoir-Generation Scheduling Problem

Yang

Zhou

et al. 2018

Algorithms

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Abstract:In this paper, a gradient-based cuckoo search algorithm (GCS) is proposed to solve a reservoir-scheduling problem. The classical cuckoo search (CS) is first improved by a self-adaptive solution-generation technique, together with a differential strategy for Lévy flight. This improved CS is then employed to solve the reservoir-scheduling problem, and a two-way solution-correction strategy is introduced to handle variants' constraints. Moreover, a gradient-based search strategy is developed to improve the search speed and accuracy. Finally, the proposed GCS is used to obtain optimal schemes for cascade reservoirs in the Jinsha River, China. Results show that the mean and standard deviation of power generation obtained by GCS are much better than other methods. The converging speed of GCS is also faster. In the optimal results, the fluctuation of the water level obtained by GCS is small, indicating the proposed GCS's effectiveness in dealing with reservoir-scheduling problems.

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Market clearing for a wind-thermal power system incorporating wind generation and load forecast uncertainties

Cited by 43 publications

References 21 publications

Optimization of Renewable Energy Resources in Hybrid Energy Systems

Optimization of Renewable Energy Resources in Hybrid Energy Systems

Optimum day-ahead clearing of energy and reserve markets with wind power generation using anticipated real-time adjustment costs

A Gradient-Based Cuckoo Search Algorithm for a Reservoir-Generation Scheduling Problem

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