Risk–Based Admissibility Analysis of Wind Power Integration into Power System With Energy Storage System

Han, Xueshan; Xu, Bo; Wang, Mingqiang; Ye, Pingfeng; Pei, Younan

doi:10.1109/access.2018.2870736

Cited by 32 publications

(13 citation statements)

References 25 publications

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“…or normal operation of the IES, it is necessary to determine the maximum power level of the LSWF that can be integrated into the IES without compromising its reliability and perform a correct assessment of the potential risk if the generation of electricity on the LSWF goes beyond the established uncertainty sets [20]. This problem is usually solved by creating reserve-generating capacities that use hydrocarbon fuel (piston and gas turbine power plants), using systems of Smart Grid energy and potential storage.…”

Section: Interaction With Energy Networkmentioning

confidence: 99%

Creating E-Courses for Learning the CAD Basics

Burtsev

Novitskiy

2020

ITM Web Conf.

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Article is devoted to the peculiarities of creating an electronic course on learning the basics of three-dimensional design of wind power plant elements using modern software systems. The iSpring Suite program was chosen as a course development tool. It has support for the SCORM 2004 format and extensive integration with office suites. In order to minimize problems with working in various distance learning systems, the course was divided into nine modules. The first module is dedicated to the basics of wind energy. The second module provides an overview of existing CAD programs. The third and fourth modules are dedicated to 2dimensional design. The fifth and sixth modules introduce commands for creating 3-dimensional parts from both other parts and 2-dimensional sketches. Module 7 is devoted to algorithms for creating assemblies from existing 3-dimensional parts. Module 8 and 9 represent the implementation of the multiplier/reducer Assembly algorithm from ready-made 3dimensional parts that are present in the course resources.

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Section: Interaction With Energy Networkmentioning

confidence: 99%

Creating E-Courses for Learning the CAD Basics

Burtsev

Novitskiy

2020

ITM Web Conf.

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“…The direct current (DC) network power flow limits are enforced by Equation (28), and the elements in the vector of nodal power injection can be calculated by Equation (29).…”

Section: Power Output Constraintsmentioning

confidence: 99%

“…Mathematically, the proposed RTUC/RTED model in Sections 3.1 and 3.2 is a bi-level mixed-integer linear programming (MILP) problem, which cannot be solved directly. The KKT optimality conditions are applied to convert the problem into a single-level programming problem [29]. The Lagrangian function of the lower level model is given in Equation (48).…”

Section: Solution Methologymentioning

confidence: 99%

“…The complementary slackness constraints are nonlinear and the big-M method is employed to convert them into linear constraints by introducing ancillary binary variables [29]. To describe the above constraints in a vector form, let g(x) and η denote all the inequality constraints and their corresponding Lagrange multipliers, respectively.…”

Section: Solution Methologymentioning

confidence: 99%

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Risk-Limiting Real-Time Economic Dispatch in a Power System with Flexibility Resources

et al. 2019

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The integration of numerous intermittent renewable energy sources (IRESs) poses challenges to the power supply-demand balance due to the inherent intermittent and uncertain power outputs of IRESs, which requires higher operational flexibility of the power system. The deployment of flexible ramping products (FRPs) provides a new alternative to accommodate the high penetration of IRESs. Given this background, a bi-level risk-limiting real-time unit commitment/real-time economic dispatch model considering FRPs provided by different flexibility resources is proposed. In the proposed model, the objective is to maximize the social surplus while minimizing the operational risk, quantified using the concept of conditional value-at-risk (CVaR). Energy and ramping capabilities of conventional generating units during the start-up or shut-down processes are considered, while meeting the constraints including unit start-up/shut-down trajectories and ramping up/down rates in consecutive time periods. The Karush–Kuhn–Tucker (KKT) optimality conditions are then used to convert the bi-level programming problem into a single-level one, which can be directly solved after linearization. The modified IEEE 14-bus power system is employed to demonstrate the proposed method, and the role of FRPs in enhancing the system flexibility and improving the accommodation capability for IRESs is illustrated in some operation scenarios of the sample system. The impact of the confidence level in CVaR on the system operational flexibility is also investigated through case studies. Finally, a case study is conducted on a regional power system in Guangdong Province, China to demonstrate the potential of the proposed method for practical applications.

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“…With the further improvement of wind power penetration rate in power system, the requirements for wind power active power control are gradually increasing [1]. In order to suppress the system safety problem caused by wind power output fluctuation and improve the ability of wind farm to adjust active power in response to system frequency regulation, the de-loading of wind farm active power has become a common regulation strategy [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Optimized Active Power Dispatching Strategy Considering Fatigue Load of Wind Turbines During De-Loading Operation

Yao

Liu

2019

IEEE Access

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With the increase of wind power penetration rate in the power grid, power dispatching including wind curtailment often happens to guarantee the safety of the power system. Considering the fatigue load of wind turbines during de-loading operation, how to optimally dispatch them along with the required power instructions becomes a hot issue. Under this background, this paper mainly studies the active power dispatching based on fatigue load optimization. In order to reduce the calculation complexity of the fatigue load, this paper proposes a simplified active power dispatching model for wind turbines via a look-up table. Subsequently, the ultra-short-term wind speed prediction is performed using the least squares support vector machine for the dynamic's prediction of wind turbines, which will be applied in fatigue load pre-calculation. Moreover, in order to fast solve the optimal dispatching problem, the accelerated particle swarm optimization algorithm is adopted. Under different de-loading scenes, the simulation experiments show that the fatigue load of the wind turbines has certain regularity while different de-loading strategies yield different effects on the fatigue load. Finally, based on the evaluation of damage equivalent load (DEL), the proposed optimal dispatching strategy in this paper is proved to be effective to meet the external dispatching from the power grid while reducing the total fatigue load level of wind farm via optimizing the power instruction to each wind turbine. INDEX TERMS Active power dispatching, de-loading operation, fatigue load, wind farm, wind speed prediction.

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Risk–Based Admissibility Analysis of Wind Power Integration into Power System With Energy Storage System

Cited by 32 publications

References 25 publications

Creating E-Courses for Learning the CAD Basics

Creating E-Courses for Learning the CAD Basics

Risk-Limiting Real-Time Economic Dispatch in a Power System with Flexibility Resources

Optimized Active Power Dispatching Strategy Considering Fatigue Load of Wind Turbines During De-Loading Operation

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