scholarly journals Power Retailer Air-Conditioning Load Aggregation Operation Control Method and Demand Response

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 112041-112056
Author(s):  
Xiangyu Kong ◽  
Bowei Sun ◽  
Jian Zhang ◽  
Shupeng Li ◽  
Qun Yang
Keyword(s):  
Demand Response ◽  
Air Conditioning ◽  
Control Method ◽  
Operation Control

scholarly journals Aggregate Control Strategy for Thermostatically Controlled Loads with Demand Response

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 683 ◽  
Author(s):  
Xiao Zhou ◽  
Jing Shi ◽  
Yuejin Tang ◽  
Yuanyuan Li ◽  
Shujian Li ◽  
...  
Keyword(s):  
Demand Response ◽  
Air Conditioning ◽  
Control Method ◽  
Aggregate Model ◽  
Simple Implementation ◽  
Key Issues ◽  
Thermostatically Controlled Loads ◽  
The Individual ◽  
And Control ◽  
High Degree

The improvement of intelligent appliances provides the basis for the demand response (DR) of residential loads. Thermostatically controlled loads (TCLs) are one of the most important DR resources and are characterized by a large load and a high degree of control. Due to its distribution characteristic, the aggregation of TCLs and their control are key issues in implementing the load control for the DR. In this study, we focus on air conditioning loads as an example of TCLs and propose a simple and transferable aggregate model by establishing a virtual house model, which accurately captures the aggregate flexibility. The deviation of the aggregate model is analyzed for the model evaluation. An air conditioning DR control scheme is proposed based on the aggregate model; it has the advantage of simple implementation and convenient control for the individual units. Simulations are performed in Gridlab-D to evaluate the accuracy and effectiveness of the proposed model and control method.

scholarly journals Cooperative Operation Schedules of Energy Storage System and Demand Response Resources Considering Urban Railway Load Characteristic under a Time-of-Use Tariff

2021 ◽  
Vol 16 (3) ◽  
pp. 1273-1284
Author(s):  
Hye Ji Kim ◽  
Hosung Jung ◽  
Young Jun Ko ◽  
Eun Su Chae ◽  
Hyo Jin Kim ◽  
...  
Keyword(s):  
Energy Storage ◽  
Demand Response ◽  
Air Conditioning ◽  
Linear Problem ◽  
Storage System ◽  
Energy Charge ◽  
Energy Storage System ◽  
Peak Reduction ◽  
Railway Stations ◽  
Charging And Discharging Processes

AbstractThis paper proposes an algorithm for the cooperative operation of air conditioning facilities and the energy storage system (ESS) in railway stations to minimize electricity. Unlike traditional load patterns, load patterns of an urban railway station can peak where energy charge rates are not high. Due to this possibility, if applying the traditional peak-reduction algorithm to railway loads, energy changes can increase, resulting in higher electricity bills. Therefore, it is required to develop a new method for minimizing the sum of capacity charges and energy charges, which is a non-linear problem. To get a feasible solution for this problem, we suggest an algorithm that optimizes the facility operation through two optimizations (primary and secondary). This method is applied to the air-quality change model for operating air conditioning facilities as demand-response (DR) resources in railway stations. This algorithm makes it possible to estimate operable DR capacity every hour, rather than calculating the capacity of DR resources conservatively in advance. Finally, we perform a simulation for the application of the proposed method to the operation of DR resources and ESS together. The simulation shows that electricity bills become lowered, and the number of charging and discharging processes of ESS is also reduced.

A Control Method of Demand Response Resources for Economic Dispatch Based on Temporal and Spatial Characters

2018 ◽  
Vol 82 ◽  
pp. 224-231
Author(s):  
Kun Shi ◽  
Zekun Li ◽  
Shihai Yang ◽  
Sheng He ◽  
Hong Zhang
Keyword(s):  
Demand Response ◽  
Control Method ◽  
Economic Dispatch ◽  
Temporal And Spatial
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