Abundant sources of palm oil based biomass provide an impetus for the sustainable generation of biofuel. Biomass such as palm oil agro-plantation waste are emerging as a promising sources of renewable liquid fuels, hence, in order to investigate the potentials of using oil palm frond juice (OPF) as feedstock for solvent production ,nutrient and sugar contents analysis was examined. A total solv...

Recently some CBIR approaches have shown the use of relevance feedback to train a pattern classifier to select relevant images for retrieval. This paper revisits this strategy by using an optimum-path forest (OPF) classifier. During relevance feedback iterations, the proposed method uses the OPF classifier to decide which database images are relevant or not. Images classified as relevant are so...

In this paper we present some theoretical results of the possibilities for controlling a given chaotic system using the (occasional proportional feedback) OPF method. It is usually claimed that the OPF method can be used only if the return map is almost one{dimensional and that the OPF control lacks a theoretical background for the choice of the feedback gain. We show how to nd the gain value f...

A fresh attempt has been made to develop a new algorithm for optimal power flow (OPF) using Fletcher's quadratic-programming method. The new algorithm considers two decoupled subproblems needing minimum cost of generation and minimum system-transmission losses. These have been solved sequentially to achieve optimal allocation of real and reactive power generation and transformer tap settings wi...

This paper proposes an approach to solve the Optimal Power Flow (OPF) problem with an aim to enhancing the power system security. The approach uses proposed Particle Swarm Optimization (PSO) based algorithm to acquire the optimal power dispatch meeting steady state security constraints under different loading conditions. The PSO algorithm can be used to solve many complex OPF problems are non d...

In this paper we investigate the inclusion of pricedependent loads into the traditional Optimal Power Flow algorithm. The development of the model will be based on the solution of the OPF using an objective function for maximization of social welfare. The paper will show that a traditional OPF algorithm that minimizes supplier costs can be modified to solve the social welfare maximization probl...

This paper proposes a component-based dual decomposition of the nonconvex AC optimal power flow (OPF) problem, where the modified dual function is solved in a distributed fashion. The main contribution of this work is that is demonstrates that a distributed method with carefully tuned parameters can converge to globally optimal solutions despite the inherent nonconvexity of the problem and the ...

In this paper, a new Modified Bacterial Foraging Algorithm (MBFA) method is developed to incorporate FACTS devices in optimal power flow (OPF) problem. This method can provide an enhanced economic solution with the use of controllable FACTS devices. Two types of FACTS devices, thyristor controlled series compensators (TCSC) and Static VAR Compensator (SVC) are considered in this method. The bas...

The deterministic methods generally used to solve DC optimal power flow (OPF) do not fully capture the uncertainty information in wind power, and thus their solutions could be suboptimal. However, the stochastic dynamic AC OPF problem can be used to find an optimal solution by fully capturing the uncertainty information of wind power. That uncertainty information of future wind power can be wel...

This paper proposes three strong second order cone programming (SOCP) relaxations for the AC optimal power flow (OPF) problem. These three relaxations are incomparable to each other and two of them are incomparable to the standard SDP relaxation of OPF. Extensive computational experiments show that these relaxations have numerous advantages over existing convex relaxations in the literature: (i...