Vector ordinal optimization theory based large-scale multi-objective unit commitment considering stochastic wind power

2017 ◽  
Vol 13 (3) ◽  
pp. 463-471 ◽  
Author(s):  
Min Xie ◽  
Yuanyuan Yan ◽  
Shaojia Ke ◽  
Mingbo Liu
Keyword(s):  
Wind Power ◽  
Large Scale ◽  
Unit Commitment ◽  
Optimization Theory ◽  
Ordinal Optimization ◽  
Multi Objective ◽  
Vector Ordinal Optimization

Ordinal optimization theory to solve large-scale power system unit commitment

2017 ◽  
Vol 13 (2) ◽  
pp. 187-194 ◽  
Author(s):  
Min Xie ◽  
Yanhan Zhu ◽  
Shaojia Ke ◽  
Yuxin Du ◽  
Mingbo Liu
Keyword(s):  
Power System ◽  
Large Scale ◽  
Unit Commitment ◽  
Optimization Theory ◽  
Ordinal Optimization

scholarly journals An Optimal Day-Ahead Thermal Generation Scheduling Method to Enhance Total Transfer Capability for the Sending-Side System with Large-Scale Wind Power Integration

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2375
Author(s):  
Yuwei Zhang ◽  
Wenying Liu ◽  
Yue Huan ◽  
Qiang Zhou ◽  
Ningbo Wang
Keyword(s):  
Wind Power ◽  
Large Scale ◽  
Unit Commitment ◽  
Gansu Province ◽  
Thermal Generation ◽  
Total Transfer Capability ◽  
Generation Scheduling ◽  
Transfer Capability ◽  
Scheduling Method ◽  
The Impact

The rapidly increasing penetration of wind power into sending-side systems makes the wind power curtailment problem more severe. Enhancing the total transfer capability (TTC) of the transmission channel allows more wind power to be delivered to the load center; therefore, the curtailed wind power can be reduced. In this paper, a new method is proposed to enhance TTC, which works by optimizing the day-ahead thermal generation schedules. First, the impact of thermal generation plant/unit commitment on TTC is analyzed. Based on this, the day-ahead thermal generation scheduling rules to enhance TTC are proposed herein, and the corresponding optimization models are established and solved. Then, the optimal day-ahead thermal generation scheduling method to enhance TTC is formed. The proposed method was validated on the large-scale wind power base sending-side system in Gansu Province in China; the results indicate that the proposed method can significantly enhance TTC, and therefore, reduce the curtailed wind power.

scholarly journals Unit Commitment Accommodating Large Scale Green Power

2019 ◽  
Vol 9 (8) ◽  
pp. 1611 ◽  
Author(s):  
Yuntao Ju ◽  
Jiankai Wang ◽  
Fuchao Ge ◽  
Yi Lin ◽  
Mingyu Dong ◽  
...  
Keyword(s):  
Wind Power ◽  
Nuclear Power ◽  
Large Scale ◽  
Unit Commitment ◽  
Thermal Power ◽  
Clean Energy ◽  
Reserve Capacity ◽  
Spinning Reserve ◽  
Peak Shaving ◽  
Generation Unit

As more clean energy sources contribute to the electrical grid, the stress on generation scheduling for peak-shaving increases. This is a concern in several provinces of China that have many nuclear power plants, such as Guangdong and Fujian. Studies on the unit commitment (UC) problem involving the characteristics of both wind and nuclear generation are urgently needed. This paper first describes a model of nuclear power and wind power for the UC problem, and then establishes an objective function for the total cost of nuclear and thermal power units, including the cost of fuel, start-stop and peak-shaving. The operating constraints of multiple generation unit types, the security constraints of the transmission line, and the influence of non-gauss wind power uncertainty on the spinning reserve capacity of the system are considered. Meanwhile, a model of an energy storage system (ESS) is introduced to smooth the wind power uncertainty. Due to the prediction error of wind power, the spinning reserve capacity of the system will be affected by the uncertainty. Over-provisioning of spinning reserve capacity is avoided by introducing chance constraints. This is followed by the design of a UC model applied to different power sources, such as nuclear power, thermal power, uncertain wind power, and ESS. Finally, the feasibility of the UC model in the scheduling of a multi-type generation unit is verified by the modified IEEE RTS 24-bus system accommodating large scale green generation units.

Research on unit commitment with large-scale wind power connected power system

2017 ◽  
Author(s):  
Ran Jiao ◽  
Baoqun Zhang ◽  
Zhongjun Chi ◽  
Cheng Gong ◽  
Longfei Ma ◽  
...  
Keyword(s):  
Power System ◽  
Wind Power ◽  
Large Scale ◽  
Unit Commitment

An Multi-Objective Optimization Model for Wind-Storage Combined Operation

2013 ◽  
Vol 860-863 ◽  
pp. 414-418
Author(s):  
Yan Qing Li ◽  
Hao Shan Li ◽  
Chi Dong ◽  
Jian Wang
Keyword(s):  
Wind Power ◽  
Optimization Model ◽  
Large Scale ◽  
Wind Farm ◽  
Economic Benefits ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Wind Power Integration ◽  
Optimization Calculation ◽  
Combined Operation

Large-scale wind power integration constituted great challenges for the power system operation and dispatching, due to the volatile and peak-reversal nature of wind power.The multi-objective optimization model of the wind farm combined with pumped-storage was studied to solve the problem.An optimization model for wind-storage combined operation was established, aiming at tracking load changes ,improving wind power economic benefits and peak shaving benefits, using improved multi-objective particle swarm optimization.The optimization calculation attempted to reduce volatility of the remaining load after removal of wind-storage joint output and increase economic benefits of wind farrms. Through the optimization calculation the wind farm and storage plant scheduling values of each time are available. The calculation example shows that the model and method are conducive to large-scale wind power integration and have a certain practicality and effectiveness.

Power System Adequacy Exploration Based on UC Simulation Model

2015 ◽  
Vol 734 ◽  
pp. 744-747
Author(s):  
Zhen Bin Li ◽  
Xiao Lei Zhai
Keyword(s):  
Power Systems ◽  
Power System ◽  
Simulation Model ◽  
Wind Power ◽  
Large Scale ◽  
Unit Commitment ◽  
System Operation ◽  
Short Run ◽  
Adequacy Assessment ◽  
Random Fluctuations

This paper takes Unit Commitment with Wind Power Electric Systems for instance and studies the application of relevant indicators in the short run adequacy decisions. It first conducted running adequacy assessment of the RBTS system, and then given unit combination solutions in the ample index constraints. The results show that the relevant indicators can be more accurately to depict the influence of random factors on system operation adequacy, and Unit Commitment decisions based adequacy index is able to give a unit commitment program at different adequacy levels. The research results provide a set of assessment indicators and assessment methods for short running adequacy problems of random fluctuations power accessing to large-scale power systems..

scholarly journals Unit Commitment under the Environment of Wind Power and Large-Scale Bilateral Transactions

2017 ◽  
Vol 09 (04) ◽  
pp. 611-624
Author(s):  
Fang Liu ◽  
Yi Pan ◽  
Junfeng Yang ◽  
Zhiqiang Luo ◽  
Lihua Liu
Keyword(s):  
Wind Power ◽  
Large Scale ◽  
Unit Commitment
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