A Quasi Oppositional Gray Wolf Optimization (QOGWO) algorithm has been used in this work to decipher the economic load dispatch of hydrothermal system. Dynamic problem involves scheduling committed generators meet demand with minimum fuel cost and several constraints which are dynamic nature. It is basically short-term (STHS) problems through cascaded reservoirs. Instead pseudo-random numbers q...

This paper demonstrates the potential role of autonomous agents in economic theory. We first dispatch autonomous agents, built by genetic programming, to double auction markets. We then study the bargaining strategies, discovered by them, and from there, an autonomous-agent-inspired economic theory with regard to the optimal procrastination is derived.

as renewable energy increasingly penetrates into power grid systems, new challenges arise for system operators to keep the systems reliable under uncertain circumstances, while ensuring high utilization of renewable energy. this paper presents unit commitment (uc) which takes into account the volatility of wind power generation. the uc problem is solved with the forecasted intermittent wind pow...

The economic load dispatch (ELD) is one of the most important optimization problems from the view point of power system to derive optimal economy. Classically, it is to Identify the optimal combination of generation level of all generating units which minimizes the total fuel cost while satisfying the load. This classical ELD formulation has been solved by various methods like Lagrange method, ...

This paper proposes a simple enhanced augmented Hopfield Lagrange neural network (EALH) for solving economic dispatch (ED) problem with piecewise quadratic cost functions. The EALH is an augmented Lagrange Hopfield neural network (ALH), which is a combination of continuous Hopfield neural network and augmented Lagrangian relaxation function as its energy function, enhanced by a heuristic search...

ACKNOWLEDGEMENT First and foremost I would like to express my sincere gratitude to my advisor Mr. been possible without his guidance, support and encouragement. Under his guidance I successfully overcame many difficulties and learned a lot. He used to review my dissertation progress, gave his valuable suggestions and made corrections. I could not have imagined having a better advisor and mentor...