Wind-Friendly Flexible Ramping Product Design in Multi-Timescale Power System Operations

Cui, Mingjian; Zhang, Jie; Wu, Hongyu; Hodge, Bri-Mathias

doi:10.1109/tste.2017.2647781

Cited by 70 publications

(36 citation statements)

References 19 publications

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“…Wind power ramping products were also modeled in [31] which studied the impact of different forecasted values on the conditional distribution of WPPs' ramping. Wind power ramping products were also considered in [32] regarding the potential economic benefits of wind-power-based ramping products under various ramping reserve needs.…”

Section: Flexible Resources At Tso Levelmentioning

confidence: 99%

Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review

et al. 2019

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The serious problem of climate change has led the energy sector to modify its generation resources from fuel-based power plants to environmentally friendly renewable resources. However, these green resources are highly intermittent due to weather dependency and they produce increased risks of stability issues in power systems. The deployment of different flexible resources can help the system to become more resilient and secure against uncertainties caused by renewables. Flexible resources can be located at different levels in power systems like, for example, at the transmission-level (TSO), distribution-level (DSO) and customer-level. Each of these levels may have different structures of flexibility trading as well. This paper conducts a comprehensive review from the recent research related to flexible resources at various system levels in smart grids and assesses the trading structures of these resources. Finally, it analyzes the application of a newly emerged ICT technology, blockchain, in the context of flexibility trading.

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Section: Flexible Resources At Tso Levelmentioning

confidence: 99%

Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review

et al. 2019

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“…Niknam et al [14] proposed a teaching-learning optimization algorithm to search the global optimal solution for the reserve constrained dynamic economic dispatch. Cui et al [15] developed a multi-timescale power system operation model integrating both the unit commitment and economic dispatch sub-models. However, none of the above research consider the stochastic characteristics of wind power forecasts.…”

Section: Overview Of the Economic Dispatch Modelmentioning

confidence: 99%

“…Equation (13) is an indefinite integral with a constant C, which can be solved by (15). Since the wind power data are normalized into the range [0, 1], it can be derived that F(x < 0) = 0 and F(x > 1) = 1.…”

Section: Probabilistic Distribution Model Of Final Wind Power Generationmentioning

confidence: 99%

A Chance-Constrained Economic Dispatch Model in Wind-Thermal-Energy Storage System

Yang

et al. 2017

Energies

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Abstract:As a type of renewable energy, wind energy is integrated into the power system with more and more penetration levels. It is challenging for the power system operators (PSOs) to cope with the uncertainty and variation of the wind power and its forecasts. A chance-constrained economic dispatch (ED) model for the wind-thermal-energy storage system (WTESS) is developed in this paper. An optimization model with the wind power and the energy storage system (ESS) is first established with the consideration of both the economic benefits of the system and less wind curtailments. The original wind power generation is processed by the ESS to obtain the final wind power output generation (FWPG). A Gaussian mixture model (GMM) distribution is adopted to characterize the probabilistic and cumulative distribution functions with an analytical expression. Then, a chance-constrained ED model integrated by the wind-energy storage system (W-ESS) is developed by considering both the overestimation costs and the underestimation costs of the system and solved by the sequential linear programming method. Numerical simulation results using the wind power data in four wind farms are performed on the developed ED model with the IEEE 30-bus system. It is verified that the developed ED model is effective to integrate the uncertain and variable wind power. The GMM distribution could accurately fit the actual distribution of the final wind power output, and the ESS could help effectively decrease the operation costs.

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“…Wang et al formulated a multi-objective ED problem considering wind penetration and utilized a modified multi-objective particle swarm optimization (PSO) algorithm to solve the ED model [7]. Cui et al developed a multi-timescale power system operation model integrating both the unit commitment and ED sub-models [8]. However, in [7,8], they did not consider the uncertainty of wind power forecasts, nor the emission of pollutants.…”

Section: Introductionmentioning

confidence: 99%

“…Cui et al developed a multi-timescale power system operation model integrating both the unit commitment and ED sub-models [8]. However, in [7,8], they did not consider the uncertainty of wind power forecasts, nor the emission of pollutants. Gómez-Lázaro et al confirmed that multiple Weibull models are more suitable to characterize aggregated wind power data [9].…”

Section: Introductionmentioning

confidence: 99%

Economic Dispatch of the Low-Carbon Green Certificate with Wind Farms Based on Fuzzy Chance Constraints

Wang

Tian³

et al. 2018

Energies

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Abstract:As the low-carbon economy continues to expand, wind power, as one form of clean energy, promotes the low-carbon power development process. In this paper, a multi-objective environmental economic dispatch (EED) model is proposed considering multiple uncertainties of the system. Carbon trading costs and green certificate trading costs are introduced into the economic costs. Meanwhile, the objective function of pollutant emissions is taken into account in the model, which can further promote the reduction of pollutant emissions in the system scheduling. The output of wind turbines is uncertain and volatile, so it brings new challenges to the power system EED once the large-scale wind power accesses the power grid. For the multiple uncertainties of the system, fuzzy chance-constrained programming is introduced, and the output of the wind turbines and the load are regarded as fuzzy variables. We use the clear equivalence forms to clarify the fuzzy chance constraints. The improved multi-objective standard particle swarm optimization (SPSO) algorithm is used to solve the optimization problem effectively. The feasibility and effectiveness of the proposed model and algorithm are verified by an example of a 10-unit system with two wind farms.

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Wind-Friendly Flexible Ramping Product Design in Multi-Timescale Power System Operations

Cited by 70 publications

References 19 publications

Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review

Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review

A Chance-Constrained Economic Dispatch Model in Wind-Thermal-Energy Storage System

Economic Dispatch of the Low-Carbon Green Certificate with Wind Farms Based on Fuzzy Chance Constraints

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