Optimal active and reactive power cooperative dispatch strategy of wind farm considering levelised production cost minimisation

Wang, Ni; Li, Jian; Yu, Xiang; Zhou, Dao; Hu, Weihao; Huang, Qi; Chen, Zhe; Blaabjerg, Frede

doi:10.1016/j.renene.2019.12.022

Cited by 14 publications

(7 citation statements)

References 24 publications

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“…While wind farms cannot provide inertia to the grid automatically as synchronous generators can, they can be quickly actuated to adjust their production levels, 10 and they can store kinetic energy in their rotors for quick release to aid in frequency regulation 10–13 . Finally, with advances in power electronics, wind turbines are now also able to provide reactive power control to maintain system voltage at least locally 14–16 . All of these objectives—power, loads, and ancillary services—are rarely independent, and two or even all three may be simultaneously optimized by certain wake management strategies, though trade‐offs should be expected.…”

Section: The Need For Wake Managementmentioning

confidence: 99%

“…While it is necessary to consider the results more cautiously due to the use of wake models, which may not capture the effects of changing thrust and/or TSR , as opposed to the high‐fidelity CFD methods used above, other studies have optimized wind farms for frequency regulation, 11–13,46,51,58,73 reducing power gradients, 80 and providing reactive power dispatch 16 using some form of AIC. It is likely that all of these capabilities have great potential with AIC, but future work using high‐fidelity methods that accurately represent wind turbine wake dynamics and their effects on power production are needed.…”

Section: Wake Management Techniquesmentioning

confidence: 99%

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Review of wake management techniques for wind turbines

Houck

2021

Wind Energy

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Summary The progression of wind turbine technology has led to wind turbines being incredibly optimized machines often approaching their theoretical maximum production capabilities. When placed together in arrays to make wind farms, however, they are subject to wake interference that greatly reduces downstream turbines' power production, increases structural loading and maintenance, reduces their lifetimes, and ultimately increases the levelized cost of energy. Development of techniques to manage wakes and operate larger and larger arrays of turbines more efficiently is now a crucial field of research. Herein, four wake management techniques in various states of development are reviewed. These include axial induction control, wake steering, the latter two combined, and active wake control. Each of these is reviewed in terms of its control strategies and use for power maximization, load reduction, and ancillary services. By evaluating existing research, several directions for future research are suggested.

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Section: The Need For Wake Managementmentioning

confidence: 99%

Section: Wake Management Techniquesmentioning

confidence: 99%

Review of wake management techniques for wind turbines

Houck

2021

Wind Energy

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“…An enhanced firefly algorithm (EFA) for solving the optimal active and reactive power scheduling problem by accounting the uncertainties has been proposed in [9]. A cooperative dispatch methodology for optimal real and reactive power scheduling of wind energy generators to minimize the levelised production cost has been proposed in [10]. A data-driven local optimization of global objectives technique to control the reactive power dispatch from distributed energy sources is proposed in [11].…”

Section: Introductionmentioning

confidence: 99%

Social welfare maximization based optimal energy and reactive power dispatch using ant lion optimization algorithm

2021

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In this paper an optimal energy and reactive power dispatch problem is solved by using the ant lion optimization (ALO) algorithm by considering the total cost minimization and social welfare maximization (SWM) objectives. Two different market models are proposed in this work, i.e., conventional/sequential market clearing and the proposed/simultaneous market clearing. In each market model, two objectives, i.e., total cost minimization and SWM are considered. The conventional social welfare (SW) consists the benefit function of consumers and the cost function of active power generation. In this paper, the conventional SW is modified by including the reactive power cost function. The reactive power cost calculation is exactly same as that in the conventional practice. The most important difference is that instead of doing cost calculation in post-facto manner as in conventional practice, simultaneous approach is proposed in this work. The scientificity and suitability of the proposed simultaneous active and reactive power methodology has been examined on standard IEEE 30 bus test system.

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“…The state estimator output provides a reliable database for other analysis applications such as optimal power flow (OPF), ORPD, etc. From planning perspective, the OPF is used for various applications for the shunt volt ampere reactive (VAR) planning [2], transfer capability studies, series capacitor planning, loss optimization studies, and reactive interchange studies. The literature related to ORPD problem is described next.…”

Section: Introductionmentioning

confidence: 99%

Solving Reactive Power Scheduling Problem using Multi-objective Crow Search Algorithm

Salkuti¹

2021

IJACSA

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This paper presents the solution of multi-objective based optimal reactive power dispatch (MO-ORPD) problem by optimizing the system power losses and voltage stability enhancement index (VSEI)/L-index objectives. ORPD problem is considered as an important issue from system security and operational point of view for optimal steady-state operation of power system. Here, single-objective based ORPD problem is solved using Crow Search Algorithm (CSA) and multi-objective based ORPD problem is solved using multi-objective CSA (MO-CSA). The CSA is considered as an efficient and robust algorithm which determines the global optimal solution for solving the non-linear and discontinuous objective functions. Two standard test systems, i.e., IEEE 30 and 57 bus systems are considered to show the effectiveness, suitability and robustness of CSA and MO-CSA for solving the ORPD problem.

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Optimal active and reactive power cooperative dispatch strategy of wind farm considering levelised production cost minimisation

Cited by 14 publications

References 24 publications

Review of wake management techniques for wind turbines

Review of wake management techniques for wind turbines

Social welfare maximization based optimal energy and reactive power dispatch using ant lion optimization algorithm

Solving Reactive Power Scheduling Problem using Multi-objective Crow Search Algorithm

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