FARM_2DRMP: A version of FARM for use with 2DRMP

To complete the 2DRMP package an asymptotic program, such as FARM, is needed. The original version of FARM is designed to construct the physical R-matrix, R, from surface amplitudes contained in the H-file. However, in 2DRMP, R has already been constructed for each scattering energy during propagation. Therefore, this modified version of FARM, known as as FARM_2DRMP, has been developed solely for use with 2DRMP.

Managing time: integration of care and paid work amongst low income families and the role of the United Kingdom’s tax credit system

Under the New Labour Governments in the UK, successive reforms of the tax and benefit system sought to improve the financial benefits of paid work. Drawing on two waves of qualitative interviews with low-income working families this article examines the role of the UK tax credit system in shaping decisions about employment and unpaid care work. The article suggests that the financial support provided for lone parent participants by the tax credit system enhanced their temporal autonomy, permitting participation in paid work to align more closely with temporally situated notions of parental responsibility for caring. For couple families however, parental perceptions of responsibility for pre-school children, along with childcare constraints and the structure of the tax credit system served to constrain the autonomy of the main carer and implicitly encourage a gendered specialisation in caring or employment.

Measurement-based Method for Wind Farm Power System Oscillations Monitoring

The global increase in the penetration of renewable energy is pushing electrical power systems into uncharted territory, especially in terms of transient and dynamic stability. In particular, the greater penetration of wind generation in European power networks is, at times, displacing a significant capacity of conventional synchronous generation with fixed-speed induction generation and now more commonly, doubly fed induction generators. The impact of such changes in the generation mix requires careful monitoring to assess the impact on transient and dynamic stability. This study presents a measurement-based method for the early detection of power system oscillations, with consideration of mode damping, in order to raise alarms and develop strategies to actively improve power system dynamic stability and security. A method is developed based on wavelet-based support vector data description (SVDD) to detect oscillation modes in wind farm output power, which may excite dynamic instabilities in the wider system. The wavelet transform is used as a filter to identify oscillations in frequency bands, whereas the SVDD method is used to extract dominant features from different scales and generate an assessment boundary according to the extracted features. Poorly damped oscillations of a large magnitude, or that are resonant, can be alarmed to the system operator, to reduce the risk of system instability. The proposed method is exemplified using measured data from a chosen wind farm site.