scholarly journals A New Pricing Scheme for Intra-Microgrid and Inter-Microgrid Local Energy Trading

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 898 ◽  
Author(s):  
Shama Naz Islam
Keyword(s):  
Numerical Simulation ◽  
Optimization Problem ◽  
Linear Optimization ◽  
Time Instant ◽  
Local Energy ◽  
Energy Trading ◽  
Linear Optimization Problem ◽  
Pricing Scheme ◽  
Simulation Results ◽  
Pricing Schemes

In this paper, an optimum pricing scheme has been designed to maximize the profits earned by sellers in microgrids through intra-microgrid and inter-microgrid local energy trading. The pricing function is optimized for different priority groups of participants within the microgrid and it is represented as a linear function of the energy sold/purchased during energy trading. A non-linear optimization problem has been formulated to optimize the amount of energy sold, as well as the coefficients of pricing function with an objective to maximize the profit for the sellers at a certain time instant. The numerical simulation results demonstrate that the proposed approach can reduce energy mismatch at the participants compared to the case when different priority groups are not considered. The findings also illustrate that the optimum pricing function can achieve higher profit for the sellers when compared with existing pricing schemes.

scholarly journals Solving practical economic load dispatch problem using crow search algorithm

2020 ◽  
Vol 10 (4) ◽  
pp. 3431 ◽  
Author(s):  
Shaimaa R. Spea
Keyword(s):  
Statistical Analysis ◽  
Optimization Problem ◽  
Search Algorithm ◽  
Linear Optimization ◽  
The Other ◽  
Economic Load Dispatch ◽  
High Quality ◽  
Linear Optimization Problem ◽  
Loading Effects ◽  
Simulation Results

The practical economic load dispatch problem is a non-convex, non-smooth, and non-linear optimization problem due to including practical considerations such as valve-point loading effects and multiple fuel options. An optimization algorithm named crow search algorithm is proposed in this paper to solve the practical non-convex economic load dispatch problem. Three cases with different economic load dispatch configurations are studied. The simulation results and statistical analysis show the efficiency of the proposed crow search algorithm. Also, the simulation results are compared to the other reported algorithms. The comparison of results confirm the high-quality solutions and the effectiveness of the proposed method for solving the non-convex practical economic load dispatch problem.

scholarly journals Robust Observer-Based H∞ Controller Design for Motorcycle Lateral Dynamics

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
A. Ferjani ◽  
I. Zaidi ◽  
M. Chaabane
Keyword(s):  
Numerical Simulation ◽  
Convex Optimization ◽  
Optimization Problem ◽  
Controller Design ◽  
Longitudinal Velocity ◽  
Robust Controller ◽  
Convex Optimization Problem ◽  
Lateral Dynamics ◽  
Robust Observer ◽  
Simulation Results

The present work deals with the design problem of a robust observer-based controller for a motorcycle system using LPV approach. The designed model is specifically uncertain and disturbed one, whose uncertainties are related to variations of both the cornering stiffness and the longitudinal velocity. The nonlinear motorcycle model is firstly transformed on an uncertain LPV model with two vertices; then an observer-based H∞ robust controller is designed. Both the controller and observer gain matrices are computed by solving a unified convex optimization problem under LMI constraints using YALMIP solver. Numerical simulation results are given to illustrate the effectiveness of the designed method.

scholarly journals Solving Fuzzy Bi-matrix Games Through a Interval Value Function Approach

2018 ◽  
Author(s):  
Kaisheng Liu ◽  
Yumei Xing
Keyword(s):  
Equilibrium Solution ◽  
Optimization Problem ◽  
Value Function ◽  
Linear Optimization ◽  
Function Approach ◽  
Game Model ◽  
Optimal Solutions ◽  
Matrix Games ◽  
Linear Optimization Problem ◽  
Interval Value

This article puts forward the bi-matrix games with crisp parametric payoffs based on interval value function approach. We conclude that the equilibrium solution of the game model can converted into optimal solutions of the pair of the non-linear optimization problem. Finally, experiment results show the efficiency of the model.

Sign in / Sign up

Export Citation Format

Share Document