Optimal power flow using gravitational search algorithm

https://romisatriawahono.net/lecture/rm/survey/softcomputing/Manjarres%20-%20Harmony%20Search%20Algorithm%20-%202013.pdf

Survey A survey on applications of the harmony search algorithm

Combined economic and emission dispatch solution using gravitational search algorithm

[ACM Press the 15th International Academic MindTrek Conference - Tampere, Finland (2011.09.28-2011.09.30)] Proceedings of the 15th International Academic MindTrek Conference on Envisioning Future Media Environments - MindTrek \'11 - From game design elements to gamefulness

Permanent magnet (PM) type transverse flux linear motors (TFLMs) are electromagnetic devices, which can develop directly powerful linear motion. These motors have been developed to apply to high power system, such as railway traction, electrodynamics vibrator, free-piston generator, etc. This paper presents an optimum design of a PM-type TFLM to reduce the weight of motor with constraints of thrust and detent force using response surface methodology (RSM) and genetic algorithms (GAs). RSM is well adapted to make analytical model of motor weight with constraints of thrust and detent forces, and enable objective function to be easily created and a great computational time to be saved. Finite element computations have been used for numerical experiments on geometrical design variables in order to determine the coefficients of a second-order analytical model for the RSM. GAs are used as a searching tool for design optimization of TFLM to reduce the weight of motor and improve the motor performance.

Design Optimization of Transverse Flux Linear Motor for Weight Reduction and Performance Improvement Using Response Surface Methodology and Genetic Algorithms

Electric vehicles, EVs, provide temporary distributed energy storage capacity for the evolving distribution grid. An aggregated storage capacity of multiple EVs is more meaningful for a distribution grid. Commercial car parks at metropolitan cities and parking lots (PLs) of hospitals, shopping centres, universities etc. are the potential areas that can be organised for these purposes. This study presents a distributed storage capacity formulation of an EV PL that can be used in distribution system reliability improvement. The storage capacity was determined by sequential Monte-Carlo simulations. Real car arrival-departure data provided by the PL authority of Istanbul, technical parameters (SoC of the batteries, battery capacity of EVs, charging and discharging rates), and some side-specific probabilistic parameters (driver behaviour, mean transportation distance etc.) were used for realistic model development. Special attention was given to some critical time periods when the storage support was more crucial for the utility grid. Moreover, future expectations for city urban planning and for travel behaviour of the community were also included in the model. Finally, impacts of several important parameters on the storage capacity of the PL were determined through sensitivity analysis.

https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-gtd.2016.1406

Stochastic energy storage capacity model of EV parking lots

Impacts of microgrids with renewables on secondary distribution networks

In a competitive electric market, high maintenance costs brought the necessity of process recruitment to increase the maintenance process efficiency and to extend the asset life time. Reliability centred maintenance has been continually improved together with proper asset management techniques to meet this necessity. This study presents an improved power transformer maintenance plan for reliability centred asset management of Turkish National Power Transmission System. At first, Markov model of existing maintenance procedure is constructed. Model solutions are used to compute the reliability indices and the total costs of the transformer. Then, sensitivity analysis was performed to determine effective transition rates of the model. Finally, optimal maintenance rates and corresponding reliability indices, total cost and life time were determined using actual service data and estimated transition rates. The results are compared with the existing maintenance plan.

https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-gtd.2015.1286

Improved transformer maintenance plan for reliability centred asset management of power transmission system

This paper presents genetic algorithm-based post-outage voltage and reactive power calculations for transmission line and transformer outages. Deficiencies of the traditional sensitivity-based (linear) methods are overcome by formulation of a line outage as nonlinear constrained optimization problem for a bounded network. The proposed optimization problem is later solved for bounded network variables by genetic algorithms. The accuracy of the method is tested on IEEE 14-bus and IEEE 57-bus test systems. Simulation results are compared both with the results of a full power flow study and with the results of the papers presented in the literature. The results have shown that the proposed method improves the accuracy of post-outage voltage and reactive power values with less computational effort.

Aydogan Ozdemir

Papers

Stochastic energy storage capacity model of EV parking lots

Impacts of microgrids with renewables on secondary distribution networks

Improved transformer maintenance plan for reliability centred asset management of power transmission system

Post-outage reactive power flow calculations by genetic algorithms: constrained optimization approach

A gamification platform to foster energy efficiency in office buildings