In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids (MGs) and distribution companies (Discos) with consideration of the renewable energies. The first level modelling is maximizing MGs’ profit and the second level is related to maximization of the Discos profit. In proposed system, power trading between MGs and Discos is considered. As well, renewable energies and demand management strategy are modelled in system for optimal energy consumption. The optimization modelling is solved by Particle Swarm Optimization (PSO), and results of the two case studies show optimal solution of prosed strategy in energy optimization
Abstract In this paper, a multi‐objective optimization technique is proposed for the planning of a n...
The sustainability of the power systems assures consumers to have efficient and cost-effective energ...
Today, in various leading power utilities in developing countries, achieving optimal operational ene...
In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids...
The energy management system is executed in microgrids for optimal integration of distributed energy...
In this paper, a multi-objective optimization technique is proposed for the planning of a networked ...
In order to alleviate the problem of low proportion of new energy absorption in microgrids and reduc...
This paper proposes a hierarchical optimization method for the energy scheduling of multiple microgr...
Microgrid is playing an increasingly important role in making the utility grid more intelligent and ...
Abstract This paper presents a day-ahead optimal energy management strategy for economic operation o...
The microgrid is a distribution system that integrates the increasing number of renewable energy res...
Developed power system models contain renewable resources in grid-connected mode to meet the load re...
MasterThis paper presents energy-trading scheduling considering distribution network reconfiguration...
Optimal operation of micro grids (MGs) with high penetration of renewable energy sources (RESs) has ...
The benefits of more comprehensive energy use and promotion of renewable energy (RE) consumption ena...
Abstract In this paper, a multi‐objective optimization technique is proposed for the planning of a n...
The sustainability of the power systems assures consumers to have efficient and cost-effective energ...
Today, in various leading power utilities in developing countries, achieving optimal operational ene...
In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids...
The energy management system is executed in microgrids for optimal integration of distributed energy...
In this paper, a multi-objective optimization technique is proposed for the planning of a networked ...
In order to alleviate the problem of low proportion of new energy absorption in microgrids and reduc...
This paper proposes a hierarchical optimization method for the energy scheduling of multiple microgr...
Microgrid is playing an increasingly important role in making the utility grid more intelligent and ...
Abstract This paper presents a day-ahead optimal energy management strategy for economic operation o...
The microgrid is a distribution system that integrates the increasing number of renewable energy res...
Developed power system models contain renewable resources in grid-connected mode to meet the load re...
MasterThis paper presents energy-trading scheduling considering distribution network reconfiguration...
Optimal operation of micro grids (MGs) with high penetration of renewable energy sources (RESs) has ...
The benefits of more comprehensive energy use and promotion of renewable energy (RE) consumption ena...
Abstract In this paper, a multi‐objective optimization technique is proposed for the planning of a n...
The sustainability of the power systems assures consumers to have efficient and cost-effective energ...
Today, in various leading power utilities in developing countries, achieving optimal operational ene...