Coordination between Short-Term and Real-Time Scheduling Incorporating Wind Power

2012 ◽  
Vol 512-515 ◽  
pp. 700-703
Author(s):  
Kui Wang ◽  
Bu Han Zhang ◽  
Jia Jun Zhai ◽  
Wen Shao ◽  
Xiao Shan Wu ◽  
...  
Keyword(s):  
Real Time ◽  
Wind Power ◽  
Unit Commitment ◽  
Integrated System ◽  
Short Term ◽  
Real Time Scheduling ◽  
Coordination Strategies ◽  
Generation Scheduling ◽  
Time Scheduling ◽  
Remaining Time

Coordination strategies between short-term (e.g., weekly and daily scheduling ) and real-time scheduling in wind power integrated system are disscussed. To cope with the uncertainty of wind power and load demands, weekly and daily rolling schedulings are applied. According to the latest updated prediction results of wind power and load demands, weekly rolling scheduling is applied to revise unit commitment and fuel allocation in remaining hours in a week. Daily rolling scheduling is applied to revise generation scheduling in remaining time in a day. A modified IEEE 118-bus system is applied to test the proposed approach.

Multi-Period Generation Scheduling Optimization Model and its Application

2012 ◽  
Vol 614-615 ◽  
pp. 850-856
Author(s):  
Ze Lei Zhu ◽  
Wen Wen Wang ◽  
Qiang Li ◽  
Cui Hui Yan ◽  
Sai Dai
Keyword(s):  
Boundary Conditions ◽  
Real Time ◽  
Practical Application ◽  
Real Time Scheduling ◽  
Time Operation ◽  
Generation Scheduling ◽  
Proposed Model ◽  
Real Time Operation ◽  
Time Scheduling ◽  
The Difference

Generation scheduling depended on accurate boundary conditions. Before the actual implementation, optimization result of day-ahead schedule was needed to be rolling corrected by two periods of intraday scheduling and real-time scheduling. It was key problem to establish optimization models which adapt to different dispatch period and coordinate different period generation scheduling for to achieving the best optimization results. This paper first discussed coordination mode of different period generation scheduling; Then, the mathematical models were established for day-ahead scheduling, intraday scheduling and real-time scheduling; Day-ahead scheduling and intraday scheduling including SCUC and SCED, intraday scheduling including SCED, and optimization goals were the minimum total cost of generation. In addition to boundary conditions, the difference between day-ahead scheduling and intraday scheduling model was that the optimal range from all units into AGC units; In real-time operation stage, the optimized objective was the minimum deviation between real-time schedule and intraday schedule for AGC units. Through practical application in a provincial, it proves that the proposed model is correct and effective.

Real-Time Scheduling of Demand Response Options Considering the Volatility of Wind Power Generation

2019 ◽  
Vol 10 (4) ◽  
pp. 1633-1643 ◽  
Author(s):  
Saber Talari ◽  
Miadreza Shafie-khah ◽  
Yue Chen ◽  
Wei Wei ◽  
Pedro D. Gaspar ◽  
...  
Keyword(s):  
Power Generation ◽  
Real Time ◽  
Wind Power ◽  
Demand Response ◽  
Wind Power Generation ◽  
Response Options ◽  
Real Time Scheduling ◽  
Time Scheduling

Workload assignment for global real-time scheduling on unrelated clustered platforms

2021 ◽  
Author(s):  
Antoine Bertout ◽  
Joël Goossens ◽  
Emmanuel Grolleau ◽  
Roy Jamil ◽  
Xavier Poczekajlo
Keyword(s):  
Real Time ◽  
Real Time Scheduling ◽  
Time Scheduling

scholarly journals Research on Multi-Timescale Coordinated Method for Source-Grid-Load with Uncertain Renewable Energy Considering Demand Response

2021 ◽  
Vol 13 (6) ◽  
pp. 3400
Author(s):  
Jia Ning ◽  
Sipeng Hao ◽  
Aidong Zeng ◽  
Bin Chen ◽  
Yi Tang
Keyword(s):  
Renewable Energy ◽  
Real Time ◽  
Demand Response ◽  
System Operation ◽  
Real Time Scheduling ◽  
High Penetration ◽  
Time Scheduling ◽  
Grid Load ◽  
Grid Side ◽  
Scheduling Models

The high penetration of renewable energy brings great challenges to power system operation and scheduling. In this paper, a multi-timescale coordinated method for source-grid-load is proposed. First, the multi-timescale characteristics of wind forecasting power and demand response (DR) resources are described, and the coordinated framework of source-grid-load is presented under multi-timescale. Next, economic scheduling models of source-grid-load based on multi-timescale DR under network constraints are established in the process of day-ahead scheduling, intraday scheduling, and real-time scheduling. The loads are classified into three types in terms of different timescale. The security constraints of grid side and time-varying DR potential are considered. Three-stage stochastic programming is employed to schedule resources of source side and load side in day-ahead, intraday, and real-time markets. The simulations are performed in a modified Institute of Electrical and Electronics Engineers (IEEE) 24-node system, which shows a notable reduction in total cost of source-grid-load scheduling and an increase in wind accommodation, and their results are proposed and discussed against under merely two timescales, which demonstrates the superiority of the proposed multi-timescale models in terms of cost and demand response quantity reduction.

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