The alignment between electricity market liberalisation and consumer participation is
essential to improve market efficiency, increase system flexibility and support the transition …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

In this paper, we propose a new particle swarm optimization algorithm incorporating the best
human learning strategies for finding the optimum solution, referred to as a Self Regulating …

Particle swarm optimization (PSO) is a popular heuristic method, which is capable of
effectively dealing with various optimization problems. A detailed overview of the original …

Nowadays, particle swarm optimisation (PSO) is one of the most commonly used
optimisation techniques. However, PSO parameters significantly affect its computational …

The economic dispatch has the objective of generation allocation to the power generators in
such a manner that the total fuel cost is minimized while all operating constraints are …

Abstract In this article, Ant Lion Optimizer (ALO) is used for supplier side optimal bidding
strategy in a day-ahead Electricity Market (EM). Optimal bidding is one of the major …

Economic dispatch (ED) plays an important role in power system operation. ED problem is a
non-smooth and non-convex problem when valve-point effects of generation units are taken …

Energy demand in the world is mostly met by conventional sources that cause carbon
emissions. Considering environmental problems and the depletion of these sources in the …

A new evolutionary algorithm known as the shuffled frog lea** algorithm is presented in
this paper, to solve the unit commitment (UC) problem. This integer-coded algorithm has …