This paper develops a novel hybrid algorithm for solving transmission expansion planning
(TEP) problems in electric power networks. Raising the awareness about immense …

The increased interest in renewable-based microgrids imposes several challenges, such as
source integration, power quality, and operating cost. Dealing with these problems requires …

In this paper, a hybrid algorithm is developed by incorporating the egg-laying and
immigration mechanisms of cuckoo optimization algorithm (COA) into harmony search (HS) …

This paper deals with a novel quasi-oppositional harmony search algorithm (QOHSA) based
design of load frequency controller for an autonomous hybrid power system model (HPSM) …

In competitive electricity market, congestion is a serious economic and reliability concern.
Congestion is a common problem that an independent system operator faces in open …

Long term planning in power transmission network expansion provides a well ordered and
profitable extension of power equipment and facilities to meet the expected electric energy …

This paper deals with a coordinated generation expansion planning (GEP)–transmission
expansion planning (TEP) in competitive electricity market. In the proposed method, GEP …

This paper proposes teaching-learning-based optimization (TLBO) algorithm for congestion
management (CM) in a pool based electricity market. Congestion is a principal problem that …

Transmission network expansion planning (TNEP) is subject to several constraints that are
driven by new market rules, such as generation uncertainty, demand growth, seasonal …

This paper introduces a modified shuffled frog leaping algorithm (MSFLA) to solve reliability
constrained generation expansion planning (GEP) problem. GEP, as a crucial issue in …