scholarly journals Lessons of Wind Policies in Texas

2014 ◽  
Vol 1 (3) ◽  
pp. 425-446
Author(s):  
Joshua Linn ◽  
Clayton Munnings

Since the late 1990s, Texas has experienced more wind generator investment than any other U.S. state. It now has the most installed wind capacity of any state, and wind power accounts for a larger share of total generation in Texas than in most other states. Favorable wind resources and the relative ease of siting large projects have contributed to Texas’s prominence in wind investment and generation. Numerous policies have also played important roles, such as the federal tax credit for wind generation, the state’s renewable portfolio standard (“RPS”), and a regulatory environment conducive to new investment in the electric power sector. With nearly fifteen years of hindsight, the Authors derive lessons from the major federal and state policies that have helped wind generation in Texas. The Authors conduct this retrospective analysis at a time when many other states have ambitious renewable energy resource requirements; for example, California requires that renewables account for 33% of generation by 2020.5 At the same time, extensive debate over federal policy continues, including whether to continue or renew subsidies to renewables. The lessons from the Texas experience can help guide these future policy decisions. To provide background, the next Section summarizes aggregate trends in investment and generation in Texas and considers these trends in the national context. The Authors also briefly describe the federal production tax credit (“PTC”), which has been claimed for many recent wind power projects, and the Texas RPS. Texas also has a “green power” market that creates market-based incentives for investment in renewables; however, the Authors are not aware of any detailed analysis of this program, so the Authors focus on the RPS. The Authors discussion includes the policies that encourage renewables investment directly and reduce pollution emissions, leaving aside other policy developments such as the deregulation of the electricity sector that occurred during the same time period. The following Section looks at the economics of wind power, and distinguishes the market and environmental values of new wind generators. Market value arises from displaced generation and investment resulting from the new wind generator, and the environmental value from the avoided pollution emissions from fossil-fuel-fired generators. Because the Authors focus on policies that aim to reduce pollution emissions, the Authors do not include other environmental issues such as the effects of the policies on bird populations. In the main Section, the Authors draw three policy lessons from the discussion of market and environmental values. While several other articles have analyzed wind policy in Texas, the Authors’ focus is distinct in its attempt to draw important lessons for state and federal efforts to promote renewables. Briefly, the three lessons are as follows: In Texas, the environmental benefits of wind power arise primarily from displaced natural gas generation and to a lesser extent from displaced coal generation. Although existing Texas policies have promoted substantial wind investment, other policies would likely reduce pollution emissions at lower costs. Coordinating policies for renewables and grid infrastructure can greatly lower the cost of reducing emissions. The final Section offers a few concluding remarks for state and federal policy.

2013 ◽  
Vol 772 ◽  
pp. 705-710
Author(s):  
Li Wei Ju ◽  
Zhong Fu Tan ◽  
He Yin ◽  
Zhi Hong Chen

In order to be able to absorb the abandoned wind, increasing wind-connect amount, the paper study the way of wind power, thermal power joint run and puts forward wind power, thermal power joint run optimization model based on the energy-saving generation dispatching way under the environment of TOU price and the target of minimizing the cost of coal-fired cost, unit commitment and pollution emissions. The numerical example finds, the TOU price can realize the goal of peak load shifting, increasing the electricity demand in the low load and reducing electricity demand in the peak load. The model can increase the amount of wind-connect grid, absorb the abandoned wind, reduce the use of coal-fired units under the environment, increase the average electricity sales price and profit of Power Company. Therefore, the model has significant economical environmental benefits


2011 ◽  
Vol 383-390 ◽  
pp. 7595-7599
Author(s):  
Guo Jian Li ◽  
Yan Jun Hu

Wind as a renewable energy, is typical of clean energy, and wind power generation has good social and environmental benefits, which has developed rapidly in worldwide. In this paper, the problems of China's wind power industry and the world wind power industry experience are discussed. The distribution of resources for wind energy, wind energy resource assessment, monitoring and forecasting system, wind industry, policy influencing factors are detailed analysis, and based on China conditions for its development were discussed.


2015 ◽  
Vol 35 (1Sup) ◽  
pp. 82-88 ◽  
Author(s):  
Esteban Gil

<span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">Due to its variability, wind generation integration presents a significant challenge to power system operators in order to maintain <span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">adequate reliability levels while ensuring least cost operation. This paper explores the trade-off between the benefits associated to a <span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">higher wind penetration and the additional operational reserve requirements that they impose. Such exploration is valued in terms <span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">of its effect on power system reliability, measured as an amount of unserved energy. The paper also focuses on how changing the <span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">Value of Lost Load (VoLL) can be used to attain different reliability targets, and how wind power penetration and the diversity of the <span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">wind energy resource will impact quality of supply (in terms of instances of unserved energy). The evaluation of different penetrations <span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">of wind power generation, different wind speed profiles, wind resource diversity, and different operational reserve requirements, is <span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">conducted on the Chilean Northern Interconnected System (SING) using statistical modeling of wind speed time series and computer <span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">simulation through a 24-hour ahead unit commitment algorithm and a Monte Carlo simulation scheme. Results for the SING suggest <span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">that while wind generation can significantly reduce generation costs, it can also imply higher security costs to reach acceptable <span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">reliability levels.</span></span></span></span></span></span></span></span></span></span><br style="font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: -webkit-auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px;" /><br class="Apple-interchange-newline" /></span>


2021 ◽  
Author(s):  
Anasuya Gangopadhyay ◽  
Ashwin K Seshadri ◽  
Ralf Toumi

&lt;p&gt;Smoothing of wind generation variability is important for grid integration of large-scale wind power plants. One approach to achieving smoothing is aggregating wind generation from plants that have uncorrelated or negatively correlated wind speed. It is well known that the wind speed correlation on average decays with increasing distance between plants, but the correlations may not be explained by distance alone. In India, the wind speed diurnal cycle plays a significant role in explaining the hourly correlation of wind speed between location pairs. This creates an opportunity of &amp;#8220;diurnal smoothing&amp;#8221;. At a given separation distance the hourly wind speeds correlation is reduced for those pairs that have a difference of +/- 12 hours in local time of wind maximum. This effect is more prominent for location pairs separated by 200 km or more and where the amplitude of the diurnal cycle is more than about&amp;#160; 0.5 m/s. &amp;#8220;Diurnal smoothing&amp;#8221; also has a positive impact on the aggregate wind predictability and forecast error. &amp;#8220;Diurnal smoothing&amp;#8221; could also be important for other regions with diurnal wind speed cycles.&lt;/p&gt;


Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2442 ◽  
Author(s):  
Jussi Ekström ◽  
Matti Koivisto ◽  
Ilkka Mellin ◽  
Robert Millar ◽  
Matti Lehtonen

In future power systems, a large share of the energy will be generated with wind power plants (WPPs) and other renewable energy sources. With the increasing wind power penetration, the variability of the net generation in the system increases. Consequently, it is imperative to be able to assess and model the behavior of the WPP generation in detail. This paper presents an improved methodology for the detailed statistical modeling of wind power generation from multiple new WPPs without measurement data. A vector autoregressive based methodology, which can be applied to long-term Monte Carlo simulations of existing and new WPPs, is proposed. The proposed model improves the performance of the existing methodology and can more accurately analyze the temporal correlation structure of aggregated wind generation at the system level. This enables the model to assess the impact of new WPPs on the wind power ramp rates in a power system. To evaluate the performance of the proposed methodology, it is verified against hourly wind speed measurements from six locations in Finland and the aggregated wind power generation from Finland in 2015. Furthermore, a case study analyzing the impact of the geographical distribution of WPPs on wind power ramps is included.


2012 ◽  
Vol 260-261 ◽  
pp. 142-147
Author(s):  
Peng Cheng ◽  
Feng Yan Li ◽  
Ji Hui Li

With increasing emphasis on the energy crisis and environmental pollutions, wind power has been developing rapidly worldwide. Because of its unique advantage of variable-speed constant-frequency (VSCF), doubly fed induction wind generator (DFIG) has been widely used in the wind power industry. In this paper, a 3.5kW doubly fed induction wind generator is designed and modeled utilizing ANSOFT, after the optimization of the generator parameters, the data of the stator and rotor no-load and full-load are given by simulation. On this basis, a physical model of doubly fed wind generator is established by Maxwell 2D. And through a finite element triangulation, the distributions of magnetic lines of force and magnetic field within the motor are obtained.


2021 ◽  
Vol 3 ◽  
Author(s):  
Hanin Alkabbani ◽  
Ali Ahmadian ◽  
Qinqin Zhu ◽  
Ali Elkamel

The global trend toward a green sustainable future encouraged the penetration of renewable energies into the electricity sector to satisfy various demands of the market. Successful and steady integrations of renewables into the microgrids necessitate building reliable, accurate wind and solar power forecasters adopting these renewables' stochastic behaviors. In a few reported literature studies, machine learning- (ML-) based forecasters have been widely utilized for wind power and solar power forecasting with promising and accurate results. The objective of this article is to provide a critical systematic review of existing wind power and solar power ML forecasters, namely artificial neural networks (ANNs), recurrent neural networks (RNNs), support vector machines (SVMs), and extreme learning machines (ELMs). In addition, special attention is paid to metaheuristics accompanied by these ML models. Detailed comparisons of the different ML methodologies and the metaheuristic techniques are performed. The significant drawn-out findings from the reviewed papers are also summarized based on the forecasting targets and horizons in tables. Finally, challenges and future directions for research on the ML solar and wind prediction methods are presented. This review can guide scientists and engineers in analyzing and selecting the appropriate prediction approaches based on the different circumstances and applications.


2014 ◽  
Vol 21 ◽  
pp. 78
Author(s):  
Samuel S. Webster

This paper analyzes the impact of the federal Production Tax Credit on the development of wind energy in the US. Following an analysis of the incentives these policies produce for wind energy generation and integration, this paper finds that, although the Production Tax Credit has proven effective at promoting some level of wind power development, the effectiveness of the Production Tax Credit varies by region and by itself is unlikely to achieve the deep levels of wind power penetration desired by some policymakers and the U.S. Department of Energy.


Author(s):  
Aswini Kumar Dash ◽  
Biswajit Das

With the increase in awareness about protecting our environment and the support for the cause by all major economies of the world through the Kyoto Protocol, the importance of wind power has grown in stature since it is clean and the most viable renewable energy resource. The global annual market of new wind turbine installation is more than US$ 40 billion at current prices, considering world-wide installations of about 40000 MW annually. This paper reviews the growth of the wind power industry globally as well as in India. The opportunities for investment in this industry and problems associated with it are also discussed with specific reference to India. In the second part of this paper, the business model of two of the major wind turbine manufacturers of India, Suzlon Energy Limited, and Enercon India Limited are discussed and their strategies are compared.


2013 ◽  
Vol 14 (3) ◽  
pp. 207-218 ◽  
Author(s):  
Kazuki Ogimi ◽  
Shota Kamiyama ◽  
Michael Palmer ◽  
Atsushi Yona ◽  
Tomonobu Senju ◽  
...  

Abstract In order to solve the problems of global warming and depletion of energy resource, renewable energy systems such as wind generation are getting attention. However, wind power fluctuates due to variation of wind speed, and it is difficult to perfectly forecast wind power. This paper describes a method to use power forecast data of wind turbine generators considering wind power forecast error for optimal operation. The purpose in this paper is to smooth the output power fluctuation of a wind farm and to obtain more beneficial electrical power for selling.


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