An Optimal and Distributed Demand Response Strategy for Energy Internet Management
Abstract
:1. Introduction
2. Problem Formulation
3. The Demand Response Algorithm
4. Simulation and Results
4.1. Test Description
4.2. Simulation Results
5. Discussion
6. Conclusions and Future Studies
Acknowledgments
Author Contributions
Conflicts of Interest
Nomenclature
control and prediction horizon | the amount of microgrids | ||
The index of mircogrid | the minimum/maximum charging power | ||
ESD unit energy level | the minimum/maximum discharging power | ||
the forecasted critical load demand and curtaillable load demand | the power curtailment ratio | ||
the set of schedulable appliances | the load demand of appliance | ||
the earliest start and latest end time of appliance | the capacity of the PV plant and the wind farm | ||
the operation cost | the penalty cost coefficient for curtailing flexible loads | ||
the operation and maintenance cost of the ESD | a vector which denotes the discharging power of the ESD units | ||
the charge efficiency, discharge efficiency and the self-discharge loss of the ESD | the purchasing/selling power of microgrid in time interval | ||
the generation of the utility company in time interval | the generation of PV plants | ||
the maximum power generation | the generation of wind farms | ||
the generation of CDG units | |||
the discharging/charging power of the ESD units | maximum ramp up/down power of the utility | ||
the aggregated load demand | EMS | energy management system | |
the minimum/maximum power generation of the CDG units | PDOM | parallel distributed optimization method | |
the ramp up/down power of the CDG units | SDOM | sequential distributed optimization method | |
the operation cost | MG | microgrid | |
the purchasing/selling power price for the microgrid users | FC | fuel cell | |
the minimum/maximum purchasing power limit | ESD | energy storage devices | |
the minimum/maximum selling power limit | CDG | controllable distributed generation | |
the purchasing/selling statuses of the microgrid in time interval | RES | renewable energy sources | |
PSO | Particle Swarm Optimization | ILOG’s CPLEX | A toolbox for linear optimization |
PV | photovoltaic | YALMIP | A Matlab based toolbox for optimization |
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PV Capacity (kW) | Wind Capacity (kW) | Maximum Exchanging Power (kW) | Maximum Critical Load (kW) | |
---|---|---|---|---|
Microgrid 1 | 1100 | 530 | 1000 | 670 |
Microgrid 2 | 100 | 0 | 1000 | 810 |
Microgrid 3 | 0 | 660 | 1200 | 720 |
Microgrid 4 | 0 | 0 | 1500 | 640 |
Max Power | Min Power | Ramp Rate | Cost Coefficients | |
---|---|---|---|---|
Microgrid 2 | 450 | 25 | 400 | 0.0055/0.44 |
Utility company | 4000 | 100 | 4000 | 0.00018/0.30 |
Max Charge/Discharge Power | Min Charge/Discharge Power | O&M Cost | Min Energy Level | Max Energy Level | Charge/Discharge Efficiency | |
---|---|---|---|---|---|---|
Microgrid 1 | 320 | 10 | 0.054 | 128 | 960 | 0.95 |
Microgrid 2 | 280 | 16 | 0.058 | 120 | 900 | 0.95 |
Microgrid 3 | 240 | 12 | 0.057 | 104 | 780 | 0.95 |
Cost of SDOM | Cost of PDOM | |
---|---|---|
Microgrid 1 | 5291 $ | 5266 $ |
Microgrid 2 | 11,303 $ | 11,349 $ |
Microgrid 3 | 13,598 $ | 13,574 $ |
Microgrid 4 | 15,314 $ | 15,342 $ |
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Liu, Q.; Wang, R.; Zhang, Y.; Wu, G.; Shi, J. An Optimal and Distributed Demand Response Strategy for Energy Internet Management. Energies 2018, 11, 215. https://doi.org/10.3390/en11010215
Liu Q, Wang R, Zhang Y, Wu G, Shi J. An Optimal and Distributed Demand Response Strategy for Energy Internet Management. Energies. 2018; 11(1):215. https://doi.org/10.3390/en11010215
Chicago/Turabian StyleLiu, Qian, Rui Wang, Yan Zhang, Guohua Wu, and Jianmai Shi. 2018. "An Optimal and Distributed Demand Response Strategy for Energy Internet Management" Energies 11, no. 1: 215. https://doi.org/10.3390/en11010215
APA StyleLiu, Q., Wang, R., Zhang, Y., Wu, G., & Shi, J. (2018). An Optimal and Distributed Demand Response Strategy for Energy Internet Management. Energies, 11(1), 215. https://doi.org/10.3390/en11010215