hustee's repositories
Algorithms_MathModels
【国赛】【美赛】数学建模相关算法 MATLAB实现
Multi-Objective-Optimization-of-Distributed-Energy-Systems-under-Grid-Faults
Recently, riding through grid faults and supporting the grid voltage by using grid-connected converters (GCCs) have become major requirements reflected in the grid codes. This paper presents a novel reference current generation scheme with the ability to support the grid voltage by injecting a proper set of positive/negative active/reactive currents by using four controlling parameters. Analytical expressions are proposed to obtain the optimal values of these parameters under any grid voltage condition. The optimal performances can be obtained by achieving the following objectives: first, compliance with the phase voltage limits, second, maximized active and reactive power delivery, third, minimized fault currents, and fourth reduced oscillations on the active and reactive powers. These optimal behaviors bring significant advantages to emerging GCCs, such as increasing the efficiency, lowering the dc-link ripples, improving ac system stability, and avoiding equipment tripping. Simulation and experimental results verify the analytical results and the proposed expressions.
free-books
互联网上的免费书籍
Solution-of-Optimal-Power-Flow-in-Power-System
The code is based on Python 3 and gurobi
Two_Layer_EMS
Code for IEEE Transactions: A Two-Layer Energy Management System for Microgrids With Hybrid Energy Storage Considering Degradation Costs.
A-Modified-Binary-PSO-to-solve-the-Thermal-Unit-Commitment-Problem
An interesting way of solving the thermal scheduling problem in power systems.
Data_driven_Distributed_Operation_of_Electricity_and_Natural_Gas_Systems
Electronic companion for research paper "Data-driven Distributed Operation of Electricity and Natural Gas Systems"
Integrated-Energy-Systems-with-CAES
The optimal dispatch of CAES in the integrated energy systems
Power-Systems-Optimization
Implementation of Optimization Techniques for Economic Dispatch of Power Systems
Django-test
for ab102
Energy_and_reserves_dispatch_with_DRJCC
Electronic companion for research paper "Energy and Reserves Dispatch with Distributionally Robust Joint Chance Constraints"
HGAPSO
MatLab Optimzation Code : The Idea of this Algorithm first we generate random solutions then we start the first part of iteration GA and compare GA results with PSO results and choose best these solution go to PSO Algorithm and create new solution and compare the new solutios with GA and choose best and so on like Cuckoo algorithm ( CA )
Power-Market-Operations-Final-Project-Unit-Commitment
Security-Constrained Unit Commitment Programming Project