scholarly journals Probabilistic indexes and evaluation method for network structure adaptability with high-penetration renewable energy

2019 ◽  
Vol 2019 (18) ◽  
pp. 4754-4759 ◽  
Author(s):  
Chengming Zhang ◽  
Haozhong Cheng ◽  
Shenxi Zhang ◽  
Zheng Wang ◽  
Jianzhong Lu ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Network Structure ◽  
Evaluation Method ◽  
High Penetration

scholarly journals Adaptable Source-Grid Planning for High Penetration of Renewable Energy Integrated System

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3304
Author(s):  
Ming Tang ◽  
Jian Wang ◽  
Xiaohua Wang
Keyword(s):  
Renewable Energy ◽  
Network Structure ◽  
Supply And Demand ◽  
Integrated System ◽  
Planning Stage ◽  
Expansion Planning ◽  
High Penetration ◽  
Supply Capacity ◽  
Grid Planning ◽  
The Impact

To adapt to the growing scale of renewable energy and improve the consume ability of the power system, it is necessary to design a highly adaptable planning scheme for high penetration of the renewable energy integrated system. Thus, this paper firstly gives the conception of system adaptability and designs an adaptability index system, which considers the supply and demand balance, operation state, and network structure of the high penetrated renewable energy integrated system. It can help to comprehensively evaluate the system ability towards uncertain shocks. Then, a two-stage source-grid coordinative expansion planning model is presented. The adaptability indexes of supply and demand balance are used as objection of the source planning stage, the adaptability indexed of the operation state and network structure are used to guide the grid planning stage. The model is further solved based on the coordination between the source and grid planning stage. Finally, the case study verifies that the obtained optimal plan has good adaptability to the impact of renewable energy on the power supply capacity and security operation.

Analysis of IEEJ AGC30 Model Analysis Results using the Evaluation Method for Suppression of Fluctuations in Renewable Energy Output

2020 ◽  
Vol 140 (10) ◽  
pp. 715-723
Author(s):  
Tatsuya Oyama ◽  
Hisashi Kato ◽  
Norikazu Yamaguchi ◽  
Yuichi Tobita ◽  
Hideo Hosogoe ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Evaluation Method ◽  
Model Analysis ◽  
Energy Output

A Study on the Countermeasures for Demand and Supply Control in Case of High Penetration of Renewable Energy Sources

2016 ◽  
Vol 136 (5) ◽  
pp. 459-470 ◽  
Author(s):  
Yuki Tsujii ◽  
Takao Tsuji ◽  
Tsutomu Oyama ◽  
Yoshiki Nakachi ◽  
Suresh Chand Verma
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Demand And Supply ◽  
High Penetration

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.

scholarly journals Assessing Renewable Energy Production Capabilities Using DEA Window and Fuzzy TOPSIS Model

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 334 ◽  
Author(s):  
Chia-Nan Wang ◽  
Thanh-Tuan Dang ◽  
Hector Tibo ◽  
Duy-Hung Duong
Keyword(s):  
United States ◽  
Renewable Energy ◽  
Total Energy ◽  
United Arab Emirates ◽  
Energy Production ◽  
Evaluation Method ◽  
Scale Up ◽  
Renewable Energy Resources ◽  
Population Total ◽  
Renewable Energy Production

Climate change and air pollution are among the key drivers of energy transition worldwide. The adoption of renewable resources can act as a peacemaker and give stability regarding the damaging effects of fossil fuels challenging public health as well as the tension made between countries in global prices of oil and gas. Understanding the potential and capabilities to produce renewable energy resources is a crucial pre-requisite for countries to utilize them and to scale up clean and stable sources of electricity generation. This paper presents a hybrid methodology that combines the data envelopment analysis (DEA) Window model, and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) in order to evaluate the capabilities of 42 countries in terms of renewable energy production potential. Based on three inputs (population, total energy consumption, and total renewable energy capacity) and two outputs (gross domestic product and total energy production), DEA window analysis chose the list of potential countries, including Norway, United Kingdom, Kuwait, Australia, Netherlands, United Arab Emirates, United States, Japan, Colombia, and Italy. Following that, the FTOPSIS model pointed out the top three countries (United States, Japan, and Australia) that have the greatest capabilities in producing renewable energies based on five main criteria, which are available resources, energy security, technological infrastructure, economic stability, and social acceptance. This paper aims to offer an evaluation method for countries to understand their potential of renewable energy production in designing stimulus packages for a cleaner energy future, thereby accelerating sustainable development.

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