Evaluation Method of Power System Flexibility for Renewable Energy Accommodation

2019 ◽  
Author(s):  
Kunpeng Tian ◽  
Weiqing Sun ◽  
Ce Yang ◽  
Dong Han ◽  
Wei Zhang ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Evaluation Method ◽  
Energy Accommodation ◽  
Power System Flexibility

scholarly journals Increasing Turkey's power system flexibility for grid integration of 50% renewable energy share

2021 ◽  
Vol 34 ◽  
pp. 100625
Author(s):  
D. Saygin ◽  
O.B. Tör ◽  
M.E. Cebeci ◽  
S. Teimourzadeh ◽  
P. Godron
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Grid Integration ◽  
Energy Share ◽  
Power System Flexibility

scholarly journals Flexibility Evaluation Method of Power Systems with High Proportion Renewable Energy Based on Typical Operation Scenarios

Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 627
Author(s):  
Xiangying Tang ◽  
Yan Hu ◽  
Zhanpeng Chen ◽  
Guangzeng You
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Power Flow ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Supply And Demand ◽  
Flow Distribution ◽  
Occurrence Probability ◽  
Flexible Operation

The development of renewable energy represented by wind, photovoltaic and hydropower has increased the uncertainty of power systems. In order to ensure the flexible operation of power systems with a high proportion of renewable energy, it is necessary to establish a multi-scenario power system flexibility evaluation method. First, this study uses a modified k-means algorithm to cluster operating scenarios of renewable energy and load to obtain several typical scenarios. Then, flexibility evaluation indices are proposed from three perspectives, including supply and demand balance of the zone, power flow distribution of the zone and transmission capacity between zones. Next, to calculate the flexibility evaluation indices of each scenario—and according to the occurrence probability of each scenario—we multiplied the indices of each scenario by the scenario occurrence probability to obtain comprehensive evaluation indices of all scenarios. Based on the actual historical output data of renewable energy and load of a southern power system in China, a flexibility evaluation was performed on the modified IEEE 14 system and modified IEEE 39 system. The results show that the proposed clustering method and flexibility indices can effectively reflect the flexibility status of the power system.

scholarly journals A feasible region evaluation method of renewable energy accommodation capacity

2021 ◽  
Vol 7 ◽  
pp. 1513-1520
Author(s):  
Dongdong Zhang ◽  
Jingyi Zhao ◽  
Wei Dai ◽  
Cheng Wang ◽  
Jiangyi Jian ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Evaluation Method ◽  
Feasible Region ◽  
Energy Accommodation

scholarly journals Evaluation Method for Penetration Limit of Renewable Energy Sources in Korean Power System

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4207
Author(s):  
Han Gwon ◽  
Woo Choi ◽  
Kyung Kook
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Power System ◽  
Evaluation Method ◽  
Frequency Control ◽  
Renewable Energy Sources ◽  
Supply And Demand ◽  
Total Power ◽  
Energy Sources ◽  
Primary Frequency

As Korea aims to increase the extent to which renewable energy sources (RES) account for up to 20% of the total power generated in the country by 2030, the feasibility of this target is a major concern. This concern largely results from the Korean power system possessing unique characteristics, such as its electrical isolation and high density. To achieve the RES target, the reliable operation of the power system must coexist with an increased share of RES power generation. This study proposes a method to evaluate the penetration limit of RES in the Korean power system considering the existing plans for the long-term electricity supply and demand, as well as its operational requirements. The Korea electric power corporation (KEPCO) planning database of the Korean power system for the next 15 years was employed to determine the penetration limit of RES considering the reliability criteria, including the minimum power generation of conventional sources, primary frequency control requirement, 10-min reserve requirement, and frequency stability.

scholarly journals Evaluation of Wind Energy Accommodation Based on Two-Stage Robust Optimization

2020 ◽  
Vol 26 (3) ◽  
pp. 61-68
Author(s):  
Kunpeng Tian ◽  
Weiqing Sun ◽  
Dong Han ◽  
Ce Yang
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Wind Energy ◽  
Robust Optimization ◽  
Optimization Problem ◽  
Mixed Integer ◽  
Master Problem ◽  
Two Stage ◽  
Energy Accommodation ◽  
Robust Optimization Problem

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.

scholarly journals Analytics of high-penetration renewable energy accommodation using power system operation simulation

2018 ◽  
Vol 2018 (17) ◽  
pp. 1889-1895
Author(s):  
Xin Tian ◽  
Jian Zhang ◽  
Xueliang Li ◽  
Long Zhao ◽  
Jian Wu
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
System Operation ◽  
Power System Operation ◽  
Energy Accommodation ◽  
High Penetration
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