Robust small-signal stability region of power systems considering uncertain wind generation

Pan, Yanfei; Liu, Feng; Chen, Laijun; Mei, Shengwei

doi:10.1109/pesgm.2015.7286455

Cited by 8 publications

(7 citation statements)

References 13 publications

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“…However, the output power of renewable energy hybrid distributed generations (REHDGs) such as wind and solar photovoltaic (PV) are highly variable because it depends on solar irradiation, temperature, and wind speed, which are intermittent . Hence, substantial body of research has unequivocally agreed that the variability (sudden changes) of generated power, due to these renewable resources intermittencies, relative to load or vice versa results in power system oscillations . In essence, small signal power angle instabilities occur when there is an imbalance between the total power generated from the REHDGs and other plants and the aggregate power demand at a time in the distribution network .…”

Section: Introductionmentioning

confidence: 99%

“…Undamped oscillations in the system for a period of time result in serious power quality and small signal stability issues . The small signal instability with its oscillatory behaviour can greatly threaten the power system security as it is one of the main cause of power system failures (blackout) . These have made it difficult to integrate intermittent renewable energy hybrid DG systems into power distribution systems .…”

Section: Introductionmentioning

confidence: 99%

“…3,4,14 Hence, substantial body of research has unequivocally agreed that the variability (sudden changes) of generated power, due to these renewable resources intermittencies, relative to load or vice versa results in power system oscillations. [15][16][17][18][19][20][21][22] In essence, small signal power angle instabilities occur when there is an imbalance between the total power generated from the REHDGs and other plants and the aggregate power demand at a time in the distribution network. 14,17 These issues occur more often in the power system.…”

Section: Introductionmentioning

confidence: 99%

“…23,24 The small signal instability with its oscillatory behaviour can greatly threaten the power system security as it is one of the main cause of power system failures (blackout). 18,21,22 These have made it difficult to integrate intermittent renewable energy hybrid DG systems into power distribution systems. 19,20 Meanwhile, different locations of integration and sizes of REHDG units in the DNS affect the system oscillation modes by either improving or depriving the small signal stability of the network.…”

Section: Introductionmentioning

confidence: 99%

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Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review

2020

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Summary Integrating renewable energy hybrid distributed generation (REHDG) into distribution network systems (DNSs) has become increasingly important because of various technical, economic, and environmental advantages accruing from it. However, the output power of REHDGs from photovoltaic (PV) and wind is highly variable because of its dependency on intermittent parameters such as solar irradiance, temperature, and wind speed. Such variability of generated power from large‐scale REHDGs or load introduces small signal instabilities (oscillations). Meanwhile, different locations of integration and sizes of REHDGs in the DNS affect the system oscillation modes by either improving or depriving the small‐signal stability (SSS) of the network. Consequently, a significant number of research has been conducted on the planning of optimal allocation of REHDGs in DNS. In this regard, this paper reviews the existing planning models, optimisation techniques, and resources' uncertainty modelling employed in REHDGs allocations in terms of their capability in obtaining optimal solutions and enhancing SSS of the system. Planning models with optimisation algorithms are evaluated for modelling renewable resource uncertainties and curtailing SSS variables. Research works on planning of optimal allocation of these generations attain minimum cost, but were unable to satisfy the SSS requirements of the system. The existing models for the planning and design of optimal timing, sizing, and placement of REHDGs will need to be improved to optimally allocate REHDGs and satisfy the SSS of the DNS after the integration.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review

2020

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“…This is due to the variability of output power generated and injected from these REHDG, which totally depends on intermittent solar radiation, temperature, and wind speed. Several research works have agreed that the variability of power generated from intermittent renewable resources relative to load or vice versa results in power system oscillations [3][4][5][6][7][8]. That is, power imbalance between the total generations from the REHDGs, other plants and transmission feeder supply, and power demand aggregate at a time results in small-signal instabilities in the distribution system [9,10].…”

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Renewable Energy Hybrid Distributed Generations for Small-Signal Stability Enhancement

2019

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This paper solves the allocation planning problem of integrating large scale renewable energy hybrid distributed generations and capacitor banks into the distribution systems. Extraordinarily, the integration of renewable energy hybrid distributed generations such as solar photovoltaic, wind, and biomass takes into consideration the impact assessment of variable generations from PV and wind on the distribution networks’ long term dynamic voltage and small-signal stabilities. Unlike other renewable distributed generations, the variability of power from solar PV and wind generations causes small-signal instabilities if they are sub-optimally allocated in the distribution network. Hence, the variables related to small-signal stability are included and constrained in the model, unlike what is obtainable in the current works on the planning of optimal allocation of renewable distributed generations. Thus, the model is motivated to maximize the penetration of renewable powers by minimizing the net present value of total cost, which includes investment, maintenance, energy, and emission costs. Consequently, the optimization problem is formulated as a stochastic mixed integer linear program, which ensures limited convergence to optimality. Numerical results of the proposed model demonstrate a significant reduction in electricity and emission costs, enhancement of system dynamic voltage and small-signal stabilities, as well as improvement in welfare costs and environmental goodness.

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Transient stability analysis of IEEE 9-bus system integrated with DFIG and SCIG based wind turbines

Ramlochun

Vaithilingam

Alsakati

et al. 2021

J. Phys.: Conf. Ser.

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Electricity is in high demand with a fast-growing population; hence it is advisable to turn towards green energy. In this research, Wind Turbine (WT) is modelled with two different types of induction generators (IGs), which are the Doubly-Fed Induction Generator (DFIG) and Squirrel-Cage Induction Generator (SCIG) and implemented to IEEE 9-Bus system to assess the transient stability. MATLAB/ Simulink R2019a platform was considered to carry the whole examination. DC1A excitation system was applied to Synchronous Generators (SGs) as well as Power System Stabilizer (PSS). The transmission line7-5 was found to suffer from a high peak value of a relative power angle of approximately 130 degrees. As for the settling time, without PSS it was 20.69 s and with PSS it became 6.23 s. A wind farm with a rated capacity of 60 MW was used in the system. WT integrated with DFIG has the lowest peak value of 127 degrees at Bus locations 4 and 5 and for SCIG, Bus 5 with a peak value of 136 degrees. Thus, it can be propelled as the perfect location. Moreover, this is due to the three-phase fault was located at the transmission line7-5 which is far away from Buses 4 and 5. In the end, the WT integrated with DFIG provides a lower peak value of relative power angle compared to SCIG, whereas for settling time, it is the opposite.

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Robust small-signal stability region of power systems considering uncertain wind generation

Cited by 8 publications

References 13 publications

Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review

Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review

Optimal Allocation of Renewable Energy Hybrid Distributed Generations for Small-Signal Stability Enhancement

Transient stability analysis of IEEE 9-bus system integrated with DFIG and SCIG based wind turbines

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