Optimization problems of modern day power system are very challenging to resolve
because of its design complexity, wide geographical dispersion and influence from many …

In competitive electricity markets, accurate price forecasting is required to both power
producers and consumers for planning their bidding strategies in order to maximize their …

Abstract Particle Swarm Optimization (PSO) is a simple yet efficient population based
evolutionary algorithm, which has been widely applied to solve global optimization …

Abstract Particle Swarm Optimization (PSO) is a well-known swarm intelligence algorithm
and its performance primarily depends on the tradeoff between exploration and exploitation …

In the present markets, transmission congestion is contemplated to play a crucial role in the
initiation of cascading outages, which compels the system to collapse. It is to be alleviated …

This paper proposes a Hybrid Nelder-Mead and Cuckoo Search (HNMCS) algorithm to
minimize the power loss in hybrid AC/DC microgrid systems by optimizing the output power …

Congestion in the power system network is a threat to security, reliability, and economy of
the power industry. Congestion management in deregulated power markets has become …

The congestion is a vital concern for the independent system operator in the deregulated
energy market because it entails additional cost and poses a threat to power system …

Congestion in power transmission lines is designated as one of the critical issues in the
deregulated power system scenario. The System Operator (SO) bears the responsibility to …

Abstract Particle Swarm Optimization (PSO) algorithm has lately received great attention due
to its powerful search capacity and simplicity in implementation. However, previous studies …