Optimization models for expansion planning of power systems aim to determine capacities,
investment timing, and location of power systems to satisfy the power demands while …

Coordinating the charging and discharging behaviors of Plug-in electric vehicles (PEVs) to
explore the dynamic economic dispatch (DED) of PEVs in power system has received …

Economic Dispatch is one of the most important issues in power system operation, as a
complex optimization problem consisting of some objective functions constrained by various …

Abstract Electric Power Networks (EPNs) play a fundamental role in the wellbeing of modern
societies and recovery of societal functions after an earthquake. Risk and resilience …

Due to the rising cost of fuel, increased demand for energy, and the stresses of
environmental issues, dynamic economic emission dispatch (DEED), which is the most …

The integration of volatile renewable resources and energy storage entails making dispatch
decisions for conventional coal-fired units and fast-response devices in different timescales …

State transition algorithm (STA) is an efficient and powerful metaheuristic method for solving
global optimization problems, and it has been successfully applied in many engineering …

In many countries, electricity prices on day-ahead auction markets result from a market
clearing designed to maximize social welfare. For each hour of the day, the market price can …

Many market-based power systems have implemented a form of 'look-ahead dispatch'which
simultaneously solves for the optimal dispatch and prices over several intervals into the …

This research focused on the design of a distributed approach using consensus theory to
find an optimal solution of the economic dispatch problem (EDP) by considering the …