scholarly journals Wind Power Pricing Game Strategy under the China’s Market Trading Mechanism

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3456 ◽  
Author(s):  
Fugui Dong ◽  
Xiaohui Ding ◽  
Lei Shi
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Cooperative Game ◽  
High Efficiency ◽  
Clean Energy ◽  
Market Mechanism ◽  
Utilization Rate ◽  
Pareto Optimum ◽  
Distribution Method ◽  
Pricing Mechanism

Wind power has become the main power generation method in China’s clean energy power generation because of its clean and high efficiency, as well as its high power utilization rate. The research on its pricing mechanism has also become the main research focus of the wind power industry. However, wind power pricing is still at the stage of price benchmarking and no market mechanism has been introduced in China. There are still much research on the pricing mechanism of wind power for us to study. In this paper, the Kernel method is used to distribute wind power income. On the basis of the distribution result, considering the contract execution risk of wind power, cooperative game theory and the Shapley value method are used to redistribute the revenue of wind power connected to power grid. Based on the characteristics of alliance members, ANP (Analytic Network Process) was used to modify the apportioned benefits to obtain the benefit distribution method that was more in line with the interest demands of members, and an example was analyzed. The wind power pricing model based on the cooperative game established in this paper can guarantee the smooth operation of the alliance, reach the pareto optimum, and improve the activity of the wind power market. It will effectively shorten the negotiation time, and reduce the transaction cost and the uncertainty of the wind power transaction.

ANN-based evaluation of wind power generation: A case study in Kutahya, Turkey

2014 ◽  
Vol 25 (4) ◽  
pp. 11-22 ◽  
Author(s):  
Mustafa Arif Özgür
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Wind Power ◽  
Conjugate Gradient ◽  
Clean Energy ◽  
Energy Potential ◽  
Wind Measurement ◽  
Levenberg Marquardt ◽  
Wind Energy Potential ◽  
Generation Capacity

Wind energy is one of the most significant and rapidly developing renewable energy sources in the world and it provides a clean energy resource, which is a promising alternative in the short term in Turkey. The wind energy potential in various parts of Turkey is becoming economical due to reductions in wind turbine costs, and in fossil fuel atmospheric pollution. This paper is to present, in brief, wind potential in Turkey and to perform an investigation on the wind energy potential of the Kutahya region. A wind measurement station was established at Dumlupinar University Main Campus in order to figure out the wind energy potential in the province. This study analyses the electricity generation capacity of the Kutahya region, Turkey, which uses the wind power system. In the study, the wind data collected from wind measurement stations between July 2001 and June 2004 (36 months) were evaluated to determine the energy potential of the region. Using this energy potential value, the power generation capacity of Kutahya was investigated for 17 different wind turbines. In this analysis, an ANN-based model and Weibull and Rayleigh distribution models were used to determine the power generation. In the ANN model, different feed-forward back propagation learning algorithms, namely Pola-Ribiere Conjugate Gradient, Levenberg–Marquardt and Scaled Conjugate Gradient were applied. The best appropriate model was determined as Levenberg–Marquardt with 15 neurons in a single hidden layer. Using the best ANN topology, it was determined that all the turbines were profitable except turbine type 1. The system with the turbine type 3 was decisively the most profitable case as determined at the end of the study according to Net Present Value  concept.

scholarly journals System Dynamics Simulation of Large-Scale Generation System for Designing Wind Power Policy in China

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Linna Hou
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
System Dynamics ◽  
Wind Power ◽  
Large Scale ◽  
Clean Energy ◽  
Energy Generation ◽  
Dynamics Simulation ◽  
Generation System ◽  
Effectiveness And Efficiency

This paper focuses on the impacts of renewable energy policy on a large-scale power generation system, including thermal power, hydropower, and wind power generation. As one of the most important clean energy, wind energy has been rapidly developed in the world. But in recent years there is a serious waste of wind power equipment and investment in China leading to many problems in the industry from wind power planning to its integration. One way overcoming the difficulty is to analyze the influence of wind power policy on a generation system. This paper builds a system dynamics (SD) model of energy generation to simulate the results of wind energy generation policies based on a complex system. And scenario analysis method is used to compare the effectiveness and efficiency of these policies. The case study shows that the combinations of lower portfolio goal and higher benchmark price and those of higher portfolio goal and lower benchmark price have large differences in both effectiveness and efficiency. On the other hand, the combinations of uniformly lower or higher portfolio goal and benchmark price have similar efficiency, but different effectiveness. Finally, an optimal policy combination can be chosen on the basis of policy analysis in the large-scale power system.

scholarly journals Techno-economic analysis and modelling of the feasibility of wind energy in Kuwait

2022 ◽  
Vol 7 ◽  
pp. 9
Author(s):  
Seyed Amir Kaboli ◽  
Reyhaneh Nazmabadi
Keyword(s):  
Power Generation ◽  
Economic Analysis ◽  
Wind Energy ◽  
Wind Turbine ◽  
Wind Power ◽  
Power Plants ◽  
Clean Energy ◽  
Wind Power Generation ◽  
Generation Capacity ◽  
The Impact

There continues to be significant attention and investment in wind power generation, which can supply a high percentage of the global demand for renewable energy if harvested efficiently. The research study is based on techno-economic analysis of the feasibility of implementing wind power generation in Kuwait with a power generation capacity of 105 MW based on 50 wind turbines, which has a major requirement for clean energy. The study focused on three main areas of analysis and numerical modeling using the RETScreen software tool. The first area involved evaluating the performance and efficacy of generating wind power by collecting, analyzing, and modeling data on observed wind levels, wind turbine operation, and wind power generation. The second area comprised an environmental impact review to assess the environmental benefits of implementing wind power. The third area involved economic analysis of installing wind power in Kuwait. The analysis was undertaken to assess the energy recovery time for wind energy and determine the mitigation of global warming and pollution levels, the decrease of toxic emissions, and any cost savings from implementing clean energy systems in Kuwait. Additionally, sensitivity analysis was undertaken to determine the impact of certain variables in the modeling process. The results are used to estimate that the energy price would be $0.053 per kWh for a power generation capacity of 105 MWh based on an initial cost of $168 million and O&M of $5 million for 214,000 MWh of electricity exported to the grid. Moreover, the wind turbine farm will potentially avoid the emission of approximately 1.8 million tonnes of carbon dioxide per year, thereby saving approximately $9 million over 20 years spent installing carbon capture systems for conventional power plants. The wind farm containing a simple wind turbine is estimated to have a payback period of 9.1 years.

A Simulation System of Wind Turbine Based on Labwindows

2014 ◽  
Vol 530-531 ◽  
pp. 943-951
Author(s):  
Zhi Gang Hua ◽  
Guang Yu Hu ◽  
Zhi Gong Wu ◽  
Yong Jie Zhai ◽  
Yu Jia Huo
Keyword(s):  
Power Generation ◽  
Wind Turbine ◽  
Wind Power ◽  
High Efficiency ◽  
Wind Power Generation ◽  
System Structure ◽  
Stable Operation ◽  
Direct Drive ◽  
Generation System ◽  
Power Generation System

Wind energy is the worlds fastest growing renewable energy source in recent years, and it has drawn worldwide attention. Due to high efficiency, simple topology and stable operation, variable speed constant frequency (VSCF) direct-drive wind power generation system using permanent magnet synchronous generator (PMSG) is the development trend and one of the focuses of wind power generation system research. The paper introduces the trend of the development wind power generation and the recently research stage on the wind power generation. Based on the VSCF power fundamental principle, the dissertation analyzes the strategy of wind turbine simulation. In the development of wind power generating system, the wind turbine emulator becomes more and more important because it can provide controllable wind turbine characteristics. Simplified mathematical model based on the CT-λ curve is constructed, the system structure and emulation method are analyzing. Hardware and software are designed and implemented, and a laboratory set-up is building which based on DC motor. Experimental results show that the wind turbine emulator is as good as expected.

An Overview of Turbine and Combustor Development for Coal-Based Oxy-Syngas Systems

2006 ◽  
Author(s):  
Keith Pronske ◽  
Larry Trowsdale ◽  
Scott Macadam ◽  
Fermin Viteri ◽  
Frank Bevc ◽  
...  
Keyword(s):  
Power Generation ◽  
Power Plants ◽  
High Efficiency ◽  
Clean Energy ◽  
Development Project ◽  
Combined Cycle ◽  
Pure Oxygen ◽  
Coal Syngas ◽  
Separation Unit ◽  
Pertinent Data

Coal combustion technology is required that is capable of: (1) co-producing electricity and hydrogen from coal while; (2) achieving high efficiency, low capital cost, low operating cost, and near-zero atmospheric emissions; and (3) producing a sequestration-ready carbon dioxide stream. Clean Energy Systems, Inc. (CES) and Siemens Power Generation, Inc., are developing this technology that would lead to a 300 to 600 MW, design for a zero emissions coal syngas plant, targeted for the year 2015, CES and Siemens received awards on September 30, 2005 from the U.S. Department of Energy’s; Office of Fossil Energy Turbine Technology R&D Program. These awards are designed to advance turbines and turbine subsystems for integrated gasification combined cycle (IGCC) power plants. Studies have shown [1–4] that replacing air with nearly pure oxygen and steam in a turbine’s combustion chamber is a promising approach to designing coal based power plants with high efficiency and near-zero emissions. Siemens will combine current steam and gas turbine technologies to design an optimized turbine that uses oxygen with coal derived hydrogen fuels in the combustion process under a DOE Turbine Development Project [5]. CES will develop and demonstrate a new combustor technology powered by coal syngas and oxygen under a DOE Combustor Development Project [6]. The proposed programs build upon twelve years of prior technical work and government-sponsored research to develop and demonstrate zero-emission fossil fuel power generation. The planned system studies build upon previous work conducted by private, public, and foreign organizations, including CES [7–9], DOE’s National Energy Technology Laboratory (NETL) [10–12], Air Liquide (AL) [1,13], Lawrence Livermore National Laboratory (LLNL) [2], Fern Engineering, Inc. [14], and Japanese investigators [15, 16]. Other pertinent data related to coal gasification, advanced air separation unit (ASU), plant integration and plant systems optimization, etc., can be found in references [17–23].

Improving the Utilization Rate of Wind Power Based on the Thermal-Electricity Combined Operation Technology

2015 ◽  
Vol 1092-1093 ◽  
pp. 36-40
Author(s):  
Wen Bo Hao ◽  
Lei Lei Zhao ◽  
Bing Liang Xu ◽  
Cheng Zhi Sun ◽  
Zhi Gang Zhao ◽  
...  
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Large Scale ◽  
Block Diagram ◽  
Thermal Power ◽  
Electric Heating ◽  
Fast Response ◽  
Utilization Rate ◽  
Analysis Strategy ◽  
Scale Integration

As large scale integration of wind power generation into grid, the fluctuation of wind power must be stabilized with fast response complementary power source such as gas and oil power generation. However entire power system is dominated by thermal power plant in China, moreover the proportion of heating units is more and more high. Therefore, expanding the peak regulating capacity of heating units to take in wind power on a large-scale is an inevitable choice. This research proposed the heat load and wind power forecast approach, meanwhile, the analysis strategy of forecasting uncertainty is also be put forward. Then, a thermal electricity combined (TEC) operation technology, which based on making the best use of the heat transfer and thermal storage characteristics of heating network and electric heating, is proposed in this paper to enhance the utilization of wind power. Final, a practical system block diagram is proposed for practical application.

scholarly journals Air-Conditioning Resource Management and Control Method based on Cloud Platform for Wind Power Consumption

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 467
Author(s):  
Liang ◽  
Yu ◽  
Wu
Keyword(s):  
Wind Power ◽  
Air Conditioning ◽  
Control Method ◽  
Sliding Mode ◽  
Evaluation Model ◽  
Optimal Solution ◽  
Clean Energy ◽  
Utilization Rate ◽  
Cloud Platform ◽  
And Control

Air-conditionings have energy storage functions. Through reasonable aggregation control, the output tracking can be implemented for wind power with stronger fluctuation to enhance its utilization rate. Cloud technology and intelligent appliances enable the appliance vendor to implement information interaction with the air-conditioning through cloud platforms to realize flexible regulation. In this paper, a management and control method of air-conditioning based on cloud platform is established. Based on this structure, the air-conditionings are divided into several aggregation groups according to the similarity of parameters, and each group completes the consumption task collaboratively. The consumption evaluation model of the air-conditioning group is established. On this basis, the allocation problem on consumption task for the aggregated group is constructed to implement the optimal solution under the condition of guaranteeing the degree of completion and user comfort. Each group implements the control for air-conditioning inside the group through the sliding mode control model. The simulation experiment verifies that the algorithm can effectively follow the output of clean energy, while intervening less in the air-conditioning operation.

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