State architecture: subsidiarity, devolution, federalism and independence

This chapter examines the current ‘architecture’ of the British state, in particular the way in which governmental power is distributed among the nations of the United Kingdom. The theme of this chapter will be to show how the continuing (and, as James Bryce argued, inevitable) tension between centripetal and centrifugal forces can be usefully applied to power relations between the various nations of the United Kingdom, and between these nations and Europe, providing a basis for analyzing how these nations are drawn or impelled by some forces towards a centralized unitary polity, whilst at the same time other forces tend towards dispersion of power. The resulting pattern might be analyzed along a spectrum from centralization to independence, with subsidiarity, devolution and federalism being seen as weigh stations along the way, but given how complex the variations in the distribution of power between these nations and the centre have become over time, the construction of any static architectural blueprint of the British state is bound to be misleading. Indeed, the architectural metaphor, with its implications of stability might usefully be rethought.

Dynamic State Estimation of Power Systems with Quantization Eects: A Recursive Filter Approach

In this paper, a recursive filter algorithm is developed to deal with the state estimation problem for power systems with quantized nonlinear measurements. The measurements from both the remote terminal units and the phasor measurement unit are subject to quantizations described by a logarithmic quantizer. Attention is focused on the design of a recursive filter such that, in the simultaneous presence of nonlinear measurements and quantization effects, an upper bound for the estimation error covariance is guaranteed and subsequently minimized. Instead of using the traditional approximation methods in nonlinear estimation that simply ignore the linearization errors, we treat both the linearization and quantization errors as norm-bounded uncertainties in the algorithm development so as to improve the performance of the estimator. For the power system with such kind of introduced uncertainties, a filter is designed in the framework of robust recursive estimation, and the developed filter algorithm is tested on the IEEE benchmark power system to demonstrate its effectiveness.