This paper presents a hybrid particle swarm optimization based genetic algorithm and hybrid particle swarm optimization based evolutionary programming for solving long-term generation maintenance scheduling problem. In power system, maintenance scheduling is being done upon the technical requirements of power plants and preserving the grid reliability. The objective function is to sell electric...

In this paper, we present a formulation that enables Ant Colony Optimization for Continuous Domains (ACOR) to seek the optimal solution of the unit maintenance scheduling problem. ACOR is a direct extension of Ant Colony Optimization (ACO). Also it is the significant ant-based algorithm for continuous optimization. For the maintenance scheduling, cost reduction is as important as reliability. T...

This paper presents transient stability analysis and enhancement of Industrial Cogeneration Plant (ICP) using Artificial Neural Network (ANN) based adaptive load shedding. By selecting the total in-plant generation, spinning reserve, total plant load and rate of change of frequency as the input neurons of the ANN, the minimum amount of load shedding is determined to maintain in-plant load-gener...

Water is scarce resource with uncertain availability. Hence finding an optimal production schedule for hydro producer is usually a complex task and it is necessary to carefully balance the timing of water use. This paper addresses the selfscheduling problem for a price-taker hydro producer. The goal is maximizing the profit of a hydro producer through participating in the day-ahead energy and a...

A hidden failure embedded DC model of power transmission systems has been developed to study the power law distributions observed in North American blackout data. We investigate the impacts of several model parameters on the global dynamics and evaluate possible mitigation measures. The main parameters include system loading level, hidden failure probability, spinning reserve capacity and contr...

The wind farm output power have the characteristics of dynamic, random, large capacity etc, which brought great difficulty for incorporating the wind farm in the bulk power system. In order to rationally regulate the power supply system in large grid connected wind power system and reduce the spinning reserve capacity of the power supply system and operating costs, it is necessary to forecastin...

Load forecasting is an important component for power system energy management system. Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning reserve capacity and schedule device maintenance plan properly and it also reduces the generation cost and increases reliability of power systems. In this work, a fuzzy logic approach for short term load fore...