A stochastic approach for the operation of a wind and pumped storage plant under a deregulated environment

Dhillon, Javed; Kumar, Arun; Singal, S.K.

doi:10.1080/15435075.2014.909358

Cited by 16 publications

(5 citation statements)

References 20 publications

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“…The original wind power data are decomposed by the EEMD into 10 different IMFs and the residue r. For convenience, the residual r signal is expressed as IMF 11 . The IMFs and their spectrums of wind power are shown in Fig.…”

Section: ② the Determining Of Kmentioning

confidence: 99%

“…But some sharp fluctuations of wind power output at wind farms after being smoothed will appear at some point owing to the use of the battery energy storage system. Taking the uncertainty of wind power generation into account, Dhillon et al [11] apply a stochastic model and solution technique to the combined operation of wind and pumped storage power plants to improve power availability and profit. Gelazanskas et al [12] develop a control strategy using hybrid flow battery, thermal, and hydro power plant systems to improve the smoothness of wind output power.…”

Section: Introductionmentioning

confidence: 99%

“…Taking the uncertainty of wind power generation into account, Dhillon et al . apply a stochastic model and solution technique to the combined operation of wind and pumped storage power plants to improve power availability and profit. Gelazanskas et al .…”

Section: Introductionmentioning

confidence: 99%

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A Game Theory‐Based Coordination and Optimization Control Methodology for a Wind Power‐Generation Hybrid Energy Storage System

Han

Liang

et al. 2017

Asian Journal of Control

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The installation of an energy storage system to smooth the fluctuations of wind power output at a certain wind farm can improve the electric quality of wind power connected to the grid. In order to reduce the capacity of the energy storage system and the loss of the battery and make full use of the advantages of the super-capacitor, a game theory-based coordination and optimization control methodology for a wind power-generation and storage system (WPGSS) is presented in this paper. Aiming to maximize the WPGSS's overall profit, the methodology, taking the smoothing effect of the active power, the cost of the hybrid energy storage system (HESS), and the earnings of wind power connected to grid into consideration, builds a coordination and optimization control model based on the ensemble empirical mode decomposition (EEMD) algorithm combined with game theory. In the model, the low-pass filtering signal obtained by the EEMD is used to smooth the fluctuations of wind power output, and the band-pass filtering signal and high-pass filtering signal obtained by the EEMD are used to achieve energy distribution among the HESS. Cooperative game theory is introduced to determine the filter order of the EEMD according to the state of charge (SOC) of the HESS and to achieve the coordination and optimization control of the WPGSS taking the maximization of the WPGSS's overall profit as the game's goal constraint conditions. The genetic algorithm (GA) and particle swarm optimization (PSO) are adopted to solve the model's optimal solution, and the simulation tests were realized to verify the effectiveness of the proposed method, which can provide a theoretical basis for the coordination and optimization control of the WPGSS.

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Section: ② the Determining Of Kmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Game Theory‐Based Coordination and Optimization Control Methodology for a Wind Power‐Generation Hybrid Energy Storage System

Han

Liang

et al. 2017

Asian Journal of Control

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“…Shankar et al [11] proposed an optimized frequency control strategy of hybrid power system model based on battery, flywheel, and ultracapacitor. Dhillon et al [13] proposed a stochastic model and solution technique for the combined operation of wind and pumped storage power plants to improve the power availability and increase the profit considering the uncertainty of wind power generation. Dhillon et al [13] proposed a stochastic model and solution technique for the combined operation of wind and pumped storage power plants to improve the power availability and increase the profit considering the uncertainty of wind power generation.…”

Section: Introductionmentioning

confidence: 99%

“…Bekdache et al [12] proposed a self-adapted evolutionary strategy to minimize the costs of wind power generation and storage system (WPGSS). Dhillon et al [13] proposed a stochastic model and solution technique for the combined operation of wind and pumped storage power plants to improve the power availability and increase the profit considering the uncertainty of wind power generation. Gelazanskas et al [14] adopted hybrid system including flow batteries and thermal and hydro power plant to smooth the fluctuations of wind power output so as to reach the perfect balance.…”

Section: Introductionmentioning

confidence: 99%

Economic evaluation for wind power generation-hybrid energy storage system based on game theory

Han

Zhao

Li³

et al. 2016

Int. J. Energy Res.

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Summary The installation of energy storage system to smooth the fluctuations of wind power output connected to the grid can effectively improve the electric quality and increase economic benefits of wind‐generated electricity. Aiming at the overall profit maximization of wind power generation and storage system (WPGSS), taking the smoothing effect of active power output, the cost of hybrid energy storage system, and the earnings of wind power connected to the grid into consideration, this paper brings forward a game theory‐based coordination and optimization control methodology for WPGSS adopting two low‐pass filters to smooth the fluctuation of wind power output. The smoothing control to the active power of wind power and the power distribution of the hybrid energy storage system is respectively achieved by regulating the time constants of the two filters. With the combinations of wind power–batteries and wind power–super‐capacitors as game's participants and the maximization of the WPGSS's overall profit as game's goal constraint conditions, game theory is introduced to realize the coordination and optimization between the time constants of the two filters. For comparative analysis, the model's optimal solution is respectively worked out by genetic algorithm and particle swarm optimization. The simulation results verify the effectiveness of the proposed method and provide a theoretical basis for the economic evaluation of the WPGSS. Copyright © 2016 John Wiley & Sons, Ltd.

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Estimating the impact of uncertainty on optimum capacitor placement in wind‐integrated radial distribution system

Das

Malakar

2020

Int Trans Electr Energ Syst

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The unpredictable load variations and raising presence of wind farms have caused modern-day distribution system operation and planning extremely complex. This paper puts an earliest effort toward the optimal allocation of the shunt capacitors in radial distribution system (RDS) under uncertain load and wind power generation. The authors aim to minimize the annual operating cost (AOC) for RDS by deciding the optimum placements of shunt capacitors. Here, three-point estimate method is applied to estimate the uncertainties in the load demand and power output from the wind generator. The stochastic behavior of wind generators and load demands are modeled by using Weibull and normal distribution functions, respectively. An opposition-based competitive swarm optimizer (OCSO) algorithm is applied to minimize the AOC, and the optimization problem is solved for both probabilistic and deterministic approach. The Cornish-Fisher expansion is used in this work to provide more accurate probability distribution functions of AOC. Furthermore, the impact of VAr injection on AOC values and power losses are also studied in this work. Moreover, the results obtained from the OCSO algorithm are compared with the original competitive swarm optimizer results. The proposed problem is tested on 69 bus RDS with different loading conditions, and results are analyzed for each scenario.competitive swarm optimizer, load uncertainty, optimum capacitor allocation, point estimate method, wind generation uncertainty | INTRODUCTIONShunt capacitors (SC) are being used in power distribution system (DS) conventionally to reduce power loss, improve the system voltage, and power factor. The power loss in DS is higher than that of the transmission system because of its List of Symbols and Abbreviations: V W , wind speed; P WT , power output of WGS; Pr, rated power output of WGS; Vr, rated wind speed; Vci, cut-in wind speed; Vco, cut-out wind speed;V w , mean of the wind speed; σ w , SD of the wind speed; P Li , real power demand at the bus "i"; Q Li , reactive power demand at the bus "i"; μ PLi , mean of real power demand; μ QLi , mean of reactive power demand; σ PLi , SD of real power demand; σ QLi , SD of reactive power demand; P μ loss , mean active power loss; Q μ ci, , mean VAr supply cost; nl, number of branches; cb, number of candidate bus; nb, number of load bus; P ss , real power of the substation bus; Q ss , reactive power of the substation bus; P μ w , mean power output from WGS; Q μ ci , mean VAr injection at bus "i"; P μ di , mean demands for real power at bus "i"; Q μ di , mean demands for reactive power at bus "i"; P μ lossj , mean real power loss at branch "j"; Q μ lossj , mean reactive power loss at branch "j"; Q cn , VAr injection at bus "n"; Q cn min , minimum values of Q cn ; Q cn max , maximum values of Q cn ; S li , complex power flow through line "i"; S li max , maximum line limit through line "i".

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A stochastic approach for the operation of a wind and pumped storage plant under a deregulated environment

Cited by 16 publications

References 20 publications

A Game Theory‐Based Coordination and Optimization Control Methodology for a Wind Power‐Generation Hybrid Energy Storage System

A Game Theory‐Based Coordination and Optimization Control Methodology for a Wind Power‐Generation Hybrid Energy Storage System

Economic evaluation for wind power generation-hybrid energy storage system based on game theory

Estimating the impact of uncertainty on optimum capacitor placement in wind‐integrated radial distribution system

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