Smoothing ramp events in wind farm based on dynamic programming in energy internet

Li, Jiang; Liu, Guodong; Zhang, Shuo

doi:10.1007/s11708-018-0593-8

Cited by 7 publications

(2 citation statements)

References 20 publications

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“…+ is the wind capacity of the DRE at time t2. According to [35], the definition of wind power ramp events in this paper is shown as follows [36], [37] Definition: A wind capacity ramp event i e can be defined as…”

Section: Tt Qmentioning

confidence: 99%

Forecasting of Wind Capacity Ramp Events Using Typical Event Clustering Identification

Song

Liu

et al. 2020

IEEE Access

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{} re set q W − Ramp event sets i f Ramp amplitude of the sample event i R Change rate of the sample event pq  Pearson correlation coefficient re p f  Ramp amplitude of the key wind capacity event pattern re p R  Change rate of the key wind capacity event pattern re q f  Ramp amplitude of the wind capacity event sequence re q R  Change rate of the wind capacity event sequence k re set n EP − Relation between history actual ramp event sets and forecasting ramp event sets 0 t re i

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Section: Tt Qmentioning

confidence: 99%

Forecasting of Wind Capacity Ramp Events Using Typical Event Clustering Identification

Song

Liu

et al. 2020

IEEE Access

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“…Consequently, in response to the global energy transition and the increasing prominence of environmental issues, the green energy sources such as photovoltaic and wind powers are receiving more and more attentions. For example, the wind power and photovoltaic installations in China have, respectively, reached 280 GW and 250 GW in year 2020 (Li et al, 2018). However, the intermittent and the fluctuating nature of the renewable energy sources, together with their high degree of uncertainty, lead to a deviation between the renewable energy generation capacity and the energy demand (Bao et al, 2021;Aien et al, 2014;Y et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Two-stage robust optimal capacity configuration of a wind, photovoltaic, hydropower, and pumped storage hybrid energy system

Zhou,

Lu,

Shen

et al. 2023

Front. Energy Res.

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The hybrid energy system of hydro-powers, pumped storages and renewable energies has become a new topic direction in modern power system developments. Consequently, it is essential to realize a rational and efficient allocation of different energy source capacities. Nevertheless, there is still a gap between the available studies and the requirement for further hybrid energy system development. This paper focuses on the optimal capacity configuration of a wind, photovoltaic, hydropower, and pumped storage power system. In this direction, a bi-level programming model for the optimal capacity configuration of wind, photovoltaic, hydropower, pumped storage power system is derived. To model the operating mode of a pumped storage power station, two 0-1 variables are introduced. To handle the nonlinear and nonconvex lower level programing problem caused by the two 0-1 variables, it is proposed that the 0-1 variables are treated as some uncertain parameters. Also, by treating the 0-1 variables as some uncertain parameters, a two-stage robust optimization problem to decompose the original bi-level programing one into a master problem and a subproblem is finally introduced. The Karush-Kuhn-Tucker (KKT) conditions are then applied to simplify and linearize the min-max problem and nonlinear terms in the master problem. This results in both the master problem and the subproblem being formulated as mixed integer linear programming (MILP) problems. By utilizing the powerful Column-and-Constraint Generation (C&CG) algorithm, the two-stage robust optimization model is decomposed into an iterative procedure of solving the master problem and the subproblem sequentially. This approach eliminates the need for intricate optimization algorithms as commonly used in existing bi-level planning problems in hybrid energy systems. Finally, the effectiveness and advantages of the proposed model is verified by the numerical results on a case study.

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Dynamic simulation of gas turbines via feature similarity-based transfer learning

et al. 2020

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Smoothing ramp events in wind farm based on dynamic programming in energy internet

Cited by 7 publications

References 20 publications

Forecasting of Wind Capacity Ramp Events Using Typical Event Clustering Identification

Forecasting of Wind Capacity Ramp Events Using Typical Event Clustering Identification

Two-stage robust optimal capacity configuration of a wind, photovoltaic, hydropower, and pumped storage hybrid energy system

Dynamic simulation of gas turbines via feature similarity-based transfer learning

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