Abstract-This paper presents a new approach for solution of the economic load dispatch (ELD) problem with valve-point effect using a modified particle swarm optimization (MPSO) technique. The practical ELD problems have non-smooth cost function with equality and inequality constraints, which make the problem of finding the global optimu m d ifficult when using any mathematical approaches. In this paper, a modified particle swarm optimization (MPSO) mechanis m is proposed to deal with the equality and inequality constraints in the ELD problems through the application of Gaussian and Cauchy probability distributions. The MPSO approach introduces new diversification and intensification strategy into the particles thus preventing PSO algorith m fro m premature convergence. To demonstrate the effectiveness of the proposed approach, the numerical studies have been performed for three different test systems, i.e. six, th irteen and forty generating unit systems, respectively. The results shows that performance of the proposed approach reveal the efficiently and robustness when compared results of other optimization algorithms reported in literature.
Econo mic load dispatch (ELD) problem is a common task in the operational planning of a power system, which requires to be optimized. This paper presents an effective and reliab le part icle swarm optimization (PSO) technique for the economic load dispatch problem. The results have been demonstrated for ELD of standard 3-generator and 6-generator systems with and without consideration of transmission losses. The final results obtained using PSO are compared with conventional quadratic programming and found to be encouraging.
Recent results have shown that several H 2 and H 2-related problems can be formulated as a convex optimization problem involving linear matrix inequalities (LMIs) with a finite number of variables. This paper presents an LMI-based robust H 2 controller design for damping oscillations in power systems. The proposed controller uses full state feedback. The feedback gain matrix is obtained as the solution of a linear matrix inequality. The technique is illustrated with applications to the design of stabilizer for a typical single-machine infinite-bus (SMIB) and a multimachine power system. The LMI based control ensures adequate damping for widely varying system operating conditions and is compared with conventional power system stabilizer (CPSS).
Economic load dispatch problem is an optimization problem where objective function is highly non linear, non-convex, non differentiable and may have multiple local minima. Therefore, classical optimization methods may not converge or get trapped to any local minima. This paper presents a comparative study of three different evolutionary algorithms i.e. differential evolution, artificial bee colony algorithm and particle swarm optimization for solving the economic load dispatch problem. All the methods are tested on 3-units and 6-units test system. Simulation results are presented to show the comparative performance of these methods.
SUMMARYThis paper presents an LMI-based robust H 2 control design with regional pole constraints for damping power system oscillations. The proposed controller uses full state feedback. The feedback gain matrix is obtained as the solution of a linear matrix inequality (LMI). The technique is illustrated with applications to the design of stabilizer for a typical single-machine infinite-bus (SMIB) and a multimachine power system. The LMI-based control ensures adequate damping for widely varying system operating conditions and is compared with the conventional power system stabilizer (CPSS).
Introduction:The level of male participation in family planning by choosing vasectomy in East Lampung region Pekalongan health centres is still low, although the success rate of vasectomy as a family planning method is very high. This study aims to explain the factors related to men's choice of vasectomy in the Pekalongan health center East Lampung. Methods: This study used an analytical study design with a cross-sectional approach. Samples were 117 men of reproductive age gathered using purposive sampling. The independent variables were knowledge, attitudes, parity, age, availability of health resources and infrastructure, health education, attitude and behaviour of health care workers and family support. The dependent variable was the men's participation in vasectomy as a family planning method. Data were retrieved using questionnaires and statistically analysed using the Chi-Square test. Results: Factors affecting the selection of vasectomy as a family planning method amongst men of reproductive age were attitude (p=0.020), parity (p=0.022), age (p=0.021), the availability of health resources and health infrastructure (p=0.018), and family support (p=0.011). However, the knowledge, health education, and the attitudes and behaviour of health workers did not affect the selection of vasectomy as a family planning method. Conclusiom: Public health centres are expected to build family planning services, especially for vasectomies, through, for example, the provision of vasectomy facilities which can reach the community and the establishment of cadres for male birth control.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.