The Politics of Decentralizing National Parks Management in the Philippines

International donors and state bureaucrats in the developing world have promoted decentralization reform as the primary means to achieve equitable, efficient and sustainable natural resource management. Relatively few studies, however, consider the power interests at stake. Why do state agencies decentralize power, what political patterns unfold, and how do outcomes affect the responses of resource users? This paper explores decentralization reform by investigating the political processes behind the Philippine state's decisions to transfer authority over national parks management to local government units. Drawing on a case of devolved management at Puerto Princesa Subterranean River National Park, Palawan Island, we examine how political motives situated at different institutional scales affect the broader process of decentralization, the structure of management institutions, and overall livelihood security. We demonstrate how power struggles between the Philippine state and City Government of Palawan over the right to manage the national park have impacted the livelihood support offered by community-based conservation. We conclude that decentralization may offer empowering resu

A power system control scheme based on security visualisation in parameter space

Power system real time security assessment is one of the fundamental modules of the electricity markets. Typically, when a contingency occurs, it is required that security assessment and enhancement module shall be ready for action within about 20 minutes’ time to meet the real time requirement. The recent California black out again highlighted the importance of system security. This paper proposed an approach for power system security assessment and enhancement based on the information provided from the pre-defined system parameter space. The proposed scheme opens up an efficient way for real time security assessment and enhancement in a competitive electricity market for single contingency case

Comparison of BR and QR Eigenvalue Algorithms for Power System Small Signal Stability Analysis

The BR algorithm is a novel and efficient method to find all eigenvalues of upper Hessenberg matrices and has never been applied to eigenanalysis for power system small signal stability. This paper analyzes differences between the BR and the QR algorithms with performance comparison in terms of CPU time based on stopping criteria and storage requirement. The BR algorithm utilizes accelerating strategies to improve its performance when computing eigenvalues of narrowly banded, nearly tridiagonal upper Hessenberg matrices. These strategies significantly reduce the computation time at a reasonable level of precision. Compared with the QR algorithm, the BR algorithm requires fewer iteration steps and less storage space without depriving of appropriate precision in solving eigenvalue problems of large-scale power systems. Numerical examples demonstrate the efficiency of the BR algorithm in pursuing eigenanalysis tasks of 39-, 68-, 115-, 300-, and 600-bus systems. Experiment results suggest that the BR algorithm is a more efficient algorithm for large-scale power system small signal stability eigenanalysis.