Contribution of plug-in hybrid electric vehicles in power system uncertainty management
Electric vehicles, including both PEVs and PHEVs have been recently interested to a large
extent in global markets due to their capabilities. These plug-in vehicles are able to …
extent in global markets due to their capabilities. These plug-in vehicles are able to …
Optimal power flow solutions incorporating stochastic wind and solar power
Generations from several sources in an electrical network are to be optimally scheduled for
economical and efficient operation of the network. Optimal power flow problem is formulated …
economical and efficient operation of the network. Optimal power flow problem is formulated …
Review of stochastic optimization methods for smart grid
This paper presents various approaches used by researchers for handling the uncertainties
involved in renewable energy sources, load demands, etc. It gives an idea about stochastic …
involved in renewable energy sources, load demands, etc. It gives an idea about stochastic …
Optimal scheduling of thermal-wind-solar power system with storage
SS Reddy - Renewable energy, 2017 - Elsevier
The incorporation of renewable energy resources (RERs) into electrical grid is very
challenging problem due to their intermittent nature. This paper solves an optimal …
challenging problem due to their intermittent nature. This paper solves an optimal …
Distributed demand side management with stochastic wind power forecasting
In this article, we propose a distributed demand-side management (DSM) approach for
smart grids taking into account uncertainty in wind power forecasting. The smart grid model …
smart grids taking into account uncertainty in wind power forecasting. The smart grid model …
Multi-objective optimization framework for optimal power flow problem of hybrid power systems considering security constraints
The hybrid model of the power system infrastructure is an essential part of the sophisticated
technology of the electrical network. Generally, for the Optimal Power Flow (OPF) problem …
technology of the electrical network. Generally, for the Optimal Power Flow (OPF) problem …
Optimal dispatch of electric vehicles and wind power using enhanced particle swarm optimization
In this paper, an economic dispatch model, which can take into account the uncertainties of
plug-in electric vehicles (PEVs) and wind generators, is developed. A simulation based …
plug-in electric vehicles (PEVs) and wind generators, is developed. A simulation based …
Improved particle swarm optimisation for multi-objective optimal power flow considering the cost, loss, emission and voltage stability index
The study presents an improved particle swarm optimisation (IPSO) method for the multi-
objective optimal power flow (OPF) problem. The proposed multi-objective OPF considers …
objective optimal power flow (OPF) problem. The proposed multi-objective OPF considers …
A versatile probability distribution model for wind power forecast errors and its application in economic dispatch
The existence of wind power forecast errors is one of the most challenging issues for wind
power system operation. It is difficult to find a reasonable method for the representation of …
power system operation. It is difficult to find a reasonable method for the representation of …
A reliable optimization framework using ensembled successive history adaptive differential evolutionary algorithm for optimal power flow problems
Abstract The Optimal Power Flow (OPF) is a primary tool in planning and installing power
systems. It attempts to minimize the operating costs associated with generating and …
systems. It attempts to minimize the operating costs associated with generating and …