Low-carbon power system economic dispatch considering renewable energy accommodation

Author(s):  
Yiting Xu ◽  
Tao Ding ◽  
Ming Qu ◽  
Ya Wen ◽  
Ye Ning
Diagnostyka ◽  
2021 ◽  
Vol 22 (3) ◽  
pp. 101-112
Author(s):  
Abdelkader Si Tayeb ◽  
Benyekhlef Larouci ◽  
Daoud Rezzak ◽  
Yahia Houam ◽  
Hamid Bouzeboudja ◽  
...  

2020 ◽  
Vol 26 (3) ◽  
pp. 61-68
Author(s):  
Kunpeng Tian ◽  
Weiqing Sun ◽  
Dong Han ◽  
Ce Yang

Large-scale renewable energy integration brings unprecedented challenges to electric power system planning and operation. The paper aims at economic dispatch and the safe operation of high penetration renewable energy power systems. According to the principle of power system dispatchability, the assessment of wind energy accommodation is formulated into a two-stage robust optimization problem with a min-max-min structure. Based on the benders algorithm, the intractable robust optimization problem is transformed into the form of sub-problem and master problem. Strong duality theory and big-M method are used to recast the sub problem into a mixed integer linear programming. The envelope of wind energy accommodation can be obtained by using commercial software to solve the master problem and sub problem alternately. For the realization of arbitrary wind power within the envelope, the amount of wind energy leakage and load shedding in power system operation are acceptable. An example of modified IEEE 39-bus test systems is used to verify the effectiveness and practicability of the evaluation method.


2018 ◽  
Vol 2018 (17) ◽  
pp. 1889-1895
Author(s):  
Xin Tian ◽  
Jian Zhang ◽  
Xueliang Li ◽  
Long Zhao ◽  
Jian Wu

2021 ◽  
Vol 9 ◽  
Author(s):  
Li Xiang ◽  
Haitao Sang ◽  
Fayi Qu

Power systems are crucial for low-carbon energy applications. Condition maintenance plays a vital role in reducing the maintenance cost of renewable power systems without sacrificing system reliability. This paper proposes a hybrid method to effectively deal with the operational changes and uncertainties of state maintenance within the power system of renewable energy applications. Specifically, a multi-objective evolutionary algorithm is first adopted to maintain key components when only considering system variables and overall performance. During operation, numerous variations in offshore substations are detected from power grids and other equipment, such as continuous aging, weather, load factors, measurement, and human-judgment factors. Then, the advisor implements a system optimization maintenance plan in the substation, which can predict changes in load reliability based on the type 2 fuzzy logic and hidden Markov model technology. The reliability of the load point of each substation would also be obtained. Illustrative results indicate that these serious deteriorations would cause substation for the re-optimization maintenance and optimization activities to meet expected reliability. Through connecting an offshore substation to a medium-sized offshore substation, the uncertainties in condition-based maintenance of renewable energy applications can be well handled.


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