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a-novel-dro-model-for-self-scheduling-problem

This study is using distributionally robust optimization (DRO) algorithm with conditional value-at-risk (CVaR) to solve self-scheduling problem to obtain a suitable and adjustable self-scheduling strategy

admm_in_scheduling

ADMM算法在分布式调度中的应用

center-point-algorithm

a deterministic global optimization algorithm for UC-CET

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"

decentralized-scheduling-strategy-of-heating-systems

RWTH Bachelor’s thesis: Optimization algorithm that balances the residual load in microgrids with heat pumps and combined heat / power units, while maintaining data privacy and economical fairness.

distributed_ev_charge_scheduling

Distributed EV Charge Scheduling Algorithms

distributedequilibriumcomputing

Computing Nash, Stackelberg game, and other types of equilibrium

distributedoptimizationwithlocaldomains

Code to replicate experiments in paper

distributionally-robust-stochastic-opf

do-something-interesting

a basic and primary project

dual-consensus-admm-for-dc-opf-cet

This study is using alternating direction method of multipliers (ADMM) approach for solving the direct current dynamic optimal power flow with carbon emission trading (DC-DOPF-CET) problem.

dual_socp

潮流计算 二阶锥松弛 对偶形式

electric-water-heater-demo

This is a demo or conceptual project for Electric Water Heater. In this circuit you will learn how electric heater works and what necessary features are needed. 1. This circuit is designed and simulated in Proteus 8.6. 2. The code is written in MPLAB X and compiler used is XC8. 3. The microcontroller used is PIC18F4520 (its the next generation of PIC18F452). 4. LCD 2x16 is used to display the parameters. 5. LCD is configured in 4-bit mode. 6. The water flow is adjusted through potentiometer RV1, which can be seen in animation. 7. The heater is adjusted according to the water flow rate. 8. Higher the water flow rate, the higher will be the heating. 9. The heating is controlled through PWM, the duty cycle of PWM increases as water flow increases and duty cycle decreases as flow decreases. 10. The default set temperature is 25, but it can be increased by Temp Up button and decreased by Temp Down button. 11. Bulb is shown as a heater. 12. There are two modes of energy (or power) saving and can be set by Power Saver button. Applications: 1. This circuit is used to understand the working principle of Electric Water Heater. Note: This is a student project and just a demo.

electricity-aware-heat-market-clearing

energy-hub-market-operation

Participation of an Energy Hub in Electricity and Heat Distribution Markets:

energy_sharing_community_implemented_using_fuzzy_q_learning

A model of MDP on energy sharing community, implemented using Fuzzy-Q learning and applied with original reward function and cost function.

everydaysport

从今天开始做一个健康的程序员。

fuzzy-q-learning

A Python implementation of Fuzzy Q-Learning (FQL) for any controllers with continues states

generalized_mg

This is a generalized MG.

generationscheduling-

Matlab software for electric generation scheduling using the iterative method.

heat-and-electricity-market-coordination-a-scalable-complementarity-approach

Online Appendix, codes and input data

heat_and_electric_powernetwork

ieee-08390898

Some codes of the paper: "Planning fully renewable powered charging stations on highways: a data-driven robust optimization approach"

iegs_optimization

python and matlab, optimization

impact-of-electric-vehicle-loads-on-system-operation

Optimal Power Flow (OPF) with objective to minimize the feeders’ losses using GAMS

integrated_chemical_gas_power_systems_benchmark

integratedenergysystemsplanning

Integrated planning modelling for power systems and other energy sectors

joint-optimization

This folder contains the codes and data used for papers: Shi, Yuanyuan, Bolun Xu, Di Wang, and Baosen Zhang. "Using battery storage for peak shaving and frequency regulation: Joint optimization for superlinear gains." IEEE Transactions on Power System.

milp-scheduling-example

MILP scheduling example for a PV-battery system

mixed-heat-gas-power-system-scheduling

Maintenance Model of Power System with Matlab and Yalmip, including the maintenance of branches and generators, and a partial mantenance is allowed for branches. The Object Functions are 1.Maximize the minimum reserve rate, 2.Minimize the cost, 3. Minimize the Variance of reserve rate(resulting in a long solution time) 使用Matlab和Yalmip进行电力系统维护的模型，包括分支机构和发电机的维护，并且分支机构可以进行部分维护。 对象函数是1.最大化最小储备率，2.最小化成本，3.最小化储备率的差异（导致较长的求解时间） Besides, note that the model is based on the Matlab, Yalmip, and the solver is Gurobi. It can be changed to other solvers, such as Cplex, by modifying the parameter 'gurobi' in sentence 'ops = settings('solver','gurobi''. 此外，请注意，该模型基于Matlab，Yalmip，求解器为Gurobi。 通过修改句子'ops = settings('solver'，'gurobi'中的参数'gurobi'，可以将其更改为其他求解器，例如Cplex。 If you have any idea on improving this model, please contact me. 如果您有任何改进此模型的想法，请联系我.