A review and technical assessment integrating wind energy into an island power system

Ally, C. Z.; Bahadoorsingh, S.; Singh, Arvind; Sharma, Chandrabhan

doi:10.1016/j.rser.2015.06.046

Cited by 9 publications

(6 citation statements)

References 38 publications

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“…The parameters k and c depend on the location of the wind source. Several methodologies using the available wind speed data such as least-squares fit methods, maximum likelihood method, and method of moments [56] have been proposed to estimate k and c. Moreover, many computer modelling packages, such as HOMER and WASP, have been used in several works for estimating these parameters [57]. In [1], it is suggested that [1.0-3.0] and [5.0-20.0] are suitable ranges for the shape and scale factors, respectively.…”

Section: Equivalent Deterministic Model For the Eed Problem Includingmentioning

confidence: 99%

Chaotic sine–cosine algorithm for chance‐constrained economic emission dispatch problem including wind energy

Guesmi

Farah

Ismail

et al. 2020

IET Renewable Power Generation

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One of the most effective approaches to reduce carbon emissions is the integration of renewable energy sources into electrical power networks. Currently, wind turbines are the fastest growing among all renewable sources. With the integration of wind farms into electrical grids, the economic emission dispatch (EED) problem is becoming more complicated due to the stochastic availability of wind energy. In this study, a new approach is proposed to solve the EED problem incorporating wind farms. The problem is formulated as a chance-constrained problem to deal with the stochastic characteristic of wind power. A novel chaotic sine-cosine algorithm (CSCA) is proposed to provide the optimal generation schedule to minimise simultaneously the generation cost and emission. Some weakness has been encountered in exploitation and exploration capabilities in standard sine cosine algorithm (SCA). Hence, the chaos is integrated into the original SCA to improve its performance. In addition, a new mutation strategy is added to the SCA. In this study, the new algorithm is based on three mutually exclusive equations. The new technique is applied on the 69-bus ten-unit and 40-unit test systems with and without wind energy. The results performed by CSCA are compared with those generated by other recent techniques.

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Section: Equivalent Deterministic Model For the Eed Problem Includingmentioning

confidence: 99%

Chaotic sine–cosine algorithm for chance‐constrained economic emission dispatch problem including wind energy

Guesmi

Farah

Ismail

et al. 2020

IET Renewable Power Generation

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“…By substituting (7) and (8) into (6), the rate of change of ω r as a state variable can be defined as follows:…”

Section: Wind Turbine Dynamicsmentioning

confidence: 99%

“…The power system oscillations and dynamic performance of small signal stability, transient stability, voltage, and frequency stability after integrating the DFIG‐based WECS are studied in [6]. A major disturbance on the power system causes wide variation in rotor angles of the interconnected generators and in this process, the synchronism of the system gets affected [7]. Consequently, the voltage and frequency may deviate so widely from the normal values that cascading outages and system separation may occur.…”

Section: Introductionmentioning

confidence: 99%

Analysis and enhancement of small‐signal stability on DFIG‐based wind integrated power system through the optimal design of linear quadratic regulator

Kumar

Chatterjee

2020

IET Renewable Power Generation

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This study analyses the dynamic behaviour of a doubly fed induction generator (DFIG)-based wind integrated power system (WIPS) resulting from a major disturbance. The effects of transient disturbance on WIPS are examined without and with a controller in terms of performance and stability of the system. To enhance the performance of WIPS after a sudden disturbance, an optimally designed linear quadratic regulator (LQR) controller is applied to the system. The wind energy system is described in state-space representation, whose states and outputs are taken as feedback to the controller for improving their dynamic response. An artificial bee colony (ABC)-based swarm optimisation technique is used to evaluate the optimal weighting matrices of the LQR controller in parallel with minimising the performance index and dynamic response characteristics of the system. The effectiveness of the proposed ABC-LQR controller in WIPS is verified by comparing their simulation and numerical results with standard proportional-integral and LQR controllers. It indicates that the proposed controller provides better enhancement of dynamic response as compared with other controllers in terms of performance index and dynamic response characteristics. Moreover, the robustness and stability of various system configurations are tested by the eigenvalue analysis.

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“…1. SIDS usually have isolated electricity systems that introduce difficulties in realising high penetration levels of wind when compared to continental countries, which can often rely on large, interconnected electricity grids [5]. 2.…”

Section: Uniqueness Of Sidsmentioning

confidence: 99%

Onshore wind energy potential for Small Island Developing States: Findings and recommendations from Barbados

Rogers

Ashtine

Koon

et al. 2019

Energy for Sustainable Development

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A review and technical assessment integrating wind energy into an island power system

Cited by 9 publications

References 38 publications

Chaotic sine–cosine algorithm for chance‐constrained economic emission dispatch problem including wind energy

Chaotic sine–cosine algorithm for chance‐constrained economic emission dispatch problem including wind energy

Analysis and enhancement of small‐signal stability on DFIG‐based wind integrated power system through the optimal design of linear quadratic regulator

Onshore wind energy potential for Small Island Developing States: Findings and recommendations from Barbados

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