Correlations Between Geographically Dispersed Concentrating Solar Power and Demand in the United States

2010 ◽  
Author(s):  
Matthew Mowers ◽  
Chris Helm ◽  
Nate Blair ◽  
Walter Short
Keyword(s):  
Wind Power ◽  
Solar Power ◽  
Thermal Power ◽  
The United States ◽  
Electricity Demand ◽  
Geographically Dispersed ◽  
Renewable Power ◽  
Hourly Data ◽  
High Renewable Penetration ◽  
Utility Scale

Correlations between the electricity generated by concentrating solar thermal power (CSP) plants, as well as cross-correlations between CSP, wind power and electricity demand, have significant impacts on decisions for how much and where to build utility-scale CSP capacity, the optimal amount of thermal storage in the CSP plants, reserve capacity needed to back-up the system, as well as the expected levels of curtailed renewable power. Accurately estimating these correlations is vital to performing detailed analyses of high renewable penetration scenarios. This study quantifies the degree of correlation between geographically dispersed CSP, as well as the correlation between CSP and wind power, and CSP and electricity demand in 356 discrete regions in the contiguous US. Correlations are calculated using hourly data on an annual basis. Maps of the correlations will be presented to illustrate the degree of correlation between solar power and the demand it is serving, as well as the synergies between the negatively-correlated wind power and solar power serving the same region.

The Optimization Model of Wind Power and Thermal Power Jointly Run under the TOU Price

2013 ◽  
Vol 772 ◽  
pp. 705-710
Author(s):  
Li Wei Ju ◽  
Zhong Fu Tan ◽  
He Yin ◽  
Zhi Hong Chen
Keyword(s):  
Wind Power ◽  
Optimization Model ◽  
Unit Commitment ◽  
Thermal Power ◽  
Peak Load ◽  
Electricity Demand ◽  
Environmental Benefits ◽  
Power Company ◽  
The Cost ◽  
Pollution Emissions

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

scholarly journals Machine Learning and Metaheuristic Methods for Renewable Power Forecasting: A Recent Review

2021 ◽  
Vol 3 ◽  
Author(s):  
Hanin Alkabbani ◽  
Ali Ahmadian ◽  
Qinqin Zhu ◽  
Ali Elkamel
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Wind Power ◽  
Solar Power ◽  
Electricity Sector ◽  
Support Vector ◽  
Renewable Power ◽  
Metaheuristic Methods ◽  
Metaheuristic Techniques ◽  
Power Forecasting

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.

scholarly journals Exploring Wind and Solar PV Generation Complementarity to Meet Electricity Demand

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4132 ◽  
Author(s):  
António Couto ◽  
Ana Estanqueiro
Keyword(s):  
Power Systems ◽  
Power System ◽  
Solar Power ◽  
Extreme Values ◽  
System Development ◽  
Power Source ◽  
Electricity Demand ◽  
Energy Deficit ◽  
Solar Pv ◽  
Renewable Power

Understanding the spatiotemporal complementarity of wind and solar power generation and their combined capability to meet the demand of electricity is a crucial step towards increasing their share in power systems without neglecting neither the security of supply nor the overall cost efficiency of the power system operation. This work proposes a methodology to exploit the complementarity of the wind and solar primary resources and electricity demand in planning the expansion of electric power systems. Scenarios that exploit the strategic combined deployment of wind and solar power against scenarios based only on the development of an individual renewable power source are compared and analysed. For each scenario of the power system development, the characterization of the additional power capacity, typical daily profile, extreme values, and energy deficit are assessed. The method is applied to a Portuguese case study and results show that coupled scenarios based on the strategic combined development of wind and solar generation provide a more sustainable way to increase the share of variable renewables into the power system (up to 68% for an annual energy exceedance of 10% for the renewable generation) when compared to scenarios based on an individual renewable power source. Combined development also enables to reduce the overall variability and extreme values of a power system net load.

Mitigating the Variability of Wind and Solar Energy Through Pumped Hydroelectric Storage

2012 ◽  
Author(s):  
S. Richards ◽  
H. Perez-Blanco
Keyword(s):  
Power Generation ◽  
Solar Power ◽  
Power Production ◽  
Electricity Demand ◽  
Excess Energy ◽  
Renewable Generation ◽  
Electric Grid ◽  
Operational Strategies ◽  
Renewable Power ◽  
Generating Capacity

Renewable power production is both variable and difficult to forecast accurately. These facts can make its integration into an electric grid problematic. If an area’s demand for electricity can be met without using renewable generation, the addition of renewable generation would not warrant a further increase in generation capacity. However, to effectively integrate large amounts of additional renewable generation, it is likely that a more flexible generation fleet will be required. One way of increasing a generation fleet’s flexibility is through the adoption of pumped hydroelectric storage (PHS, see the glossary for definitions of select terms). Like traditional hydropower generation, PHS is capable of quickly varying its power output but it is also capable of operating in reverse to store excess energy for later use. This paper will address many of the operational aspects of combining pumped hydroelectric storage (PHS), which is currently used to store excess energy from traditional generators, with wind and solar power generation. PJM, a grid operator in the Middle Atlantic States, defines capacity value for renewable generation as the percent of installed generating capacity that the generator can reliably contribute during summer peak hours. Existing wind generators inside PJM have an average capacity value of 13% and existing solar generators have a capacity value of 38%. The chief reason for these capacity values is that the renewable power production does not usually coincide with the hours of peak electricity demand during the summer. If PHS were used to firm renewable power generation, it would translate into increased utilization of the renewable generation that would displace the least efficient/most costly generators. A computer model with one minute granularity is constructed in order to study the operational requirements of PHS facilities. PJM electricity demand, power prices, and wind power production data for 2010 were used in conjunction with NREL simulated solar power production as input to the model. Currently, various PHS operational strategies are being tested to ascertain their effectiveness at firming and time shifting renewable generation. Preliminary results show the profound effects of increased penetration of renewable energy on an electric grid. The results also demonstrate a niche for even greater PHS operational flexibility, i.e. variable speed or unidirectional ternary machine (UTM) PHS.

PEMBANGKIT LISTRIK TENAGA HIBRID SEBAGAI SOLUSI KELISTRIKAN DI DAERAH TERPENCIL

2013 ◽  
Vol 14 (2) ◽  
Author(s):  
Agus Nurrohim
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Solar Power ◽  
Oil Prices ◽  
Electricity Demand ◽  
Hybrid Power ◽  
Eastern Indonesia ◽  
Government Planning ◽  
The Government

In order to meet electricity demand, the role of Diesel Power Generation (PLTD) in parts of Indonesia is still very large. Currently, 34.30% of electricity demand in outside of Java-Bali system was supplied by the PLTD. Especially for the Eastern Indonesia (Nusa Tenggara, Maluku, and Papua), nearly 100% of its electricity comes from PLTD. For the next 10 years, the government planning through PT. PLN will install 252 MW of PLTD in Eastern Indonesia and 73 MW in Western Indonesia. Due to the increasing of oil prices in the world will directly increase the oil prices in Indonesia, so that the electricity generating cost from PLTD would alsoincrease. To reduce fuel consumption without reducing the service to the consumer, the construction of Diesel Power Generation should be integrated with renewable energy, like Solar Power and Wind Power to form the Hybrid Power Generation. By the Hybrid Power Generation, energy management can be controlled, so the using of diesel fuel can be more efficient. By applying of Solar Power and Wind Power in a quarter of the capacity of PLTD, the consumption of fuel could be reduced by 152million liters up to 2019, or an average of 15.2 million liters per year.

scholarly journals How to Develop Renewable Power in China? A Cost-Effective Perspective

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Rong-Gang Cong ◽  
Shaochuan Shen
Keyword(s):  
Learning Curve ◽  
Wind Power ◽  
Solar Power ◽  
Cost Effective ◽  
Chinese Government ◽  
Renewable Power ◽  
Investment Cost ◽  
Curve Model ◽  
Development Paths ◽  
Installed Capacity

To address the problems of climate change and energy security, Chinese government strived to develop renewable power as an important alternative of conventional electricity. In this paper, the learning curve model is employed to describe the decreasing unit investment cost due to accumulated installed capacity; the technology diffusion model is used to analyze the potential of renewable power. Combined with the investment cost, the technology potential, and scenario analysis of China social development in the future, we develop the Renewable Power Optimization Model (RPOM) to analyze the optimal development paths of three sources of renewable power from 2009 to 2020 in a cost-effective way. Results show that (1) the optimal accumulated installed capacities of wind power, solar power, and biomass power will reach 169000, 20000, and 30000 MW in 2020; (2) the developments of renewable power show the intermittent feature; (3) the unit investment costs of wind power, solar power, and biomass power will be 4500, 11500, and 5700 Yuan/KW in 2020; (4) the discounting effect dominates the learning curve effect for solar and biomass powers; (5) the rise of on-grid ratio of renewable power will first promote the development of wind power and then solar power and biomass power.

scholarly journals Geophysical constraints on the reliability of solar and wind power in the United States

2018 ◽  
Vol 11 (4) ◽  
pp. 914-925 ◽  
Author(s):  
Matthew R. Shaner ◽  
Steven J. Davis ◽  
Nathan S. Lewis ◽  
Ken Caldeira
Keyword(s):  
United States ◽  
Solar Wind ◽  
Wind Power ◽  
Seasonal Variability ◽  
High Reliability ◽  
The United States ◽  
Electricity Demand ◽  
Power Capacity

Daily and seasonal variability of solar, wind and electricity demand require substantial dispatchable power capacity to achieve deep decarbonization with high reliability.

scholarly journals Winding Up

2003 ◽  
Vol 125 (01) ◽  
pp. 36-39 ◽  
Author(s):  
Jeffrey Winters
Keyword(s):  
United States ◽  
Energy Source ◽  
Wind Energy ◽  
Wind Power ◽  
Carbon Emissions ◽  
Fossil Fuels ◽  
The United States ◽  
Rotor Shaft ◽  
The World ◽  
Utility Scale

This article reviews today’s wind turbines that are a far cry from the windmills that once reached into the rural sky to pump water for irrigation. A single utility-scale turbine, built from European designs, can provide enough electricity to power more than a thousand homes when the wind is blowing. Wind power is increasingly viewed as an ecologically friendly energy source, without the carbon emissions of fossil fuels or the watershed wrecking force of hydropower. Wind power enthusiasts point out that wind is the fastest-growing source of electricity in the world. In the United States alone, the amount of installed wind power grew by 66 percent in 2001, according to the American Wind Energy Association in Washington. WTC’s two-bladed design makes the most of the lightness the downwind configuration can offer. Each blade is reinforced by a hydraulic piston running from the hub, and the root itself is attached to the rotor shaft by a hinged coupling. The pistons can reposition each blade independently over the course of a single rotor sweep.

scholarly journals Steady State Analysis and Impact of Benban Solar Park on The Egyptian Transmission System 9

2021 ◽  
Vol 10 (2) ◽  
pp. 928-940
Keyword(s):  
Power System ◽  
Power Plants ◽  
Solar Power ◽  
Thermal Power ◽  
Transmission System ◽  
Combined Cycle ◽  
Operating Conditions ◽  
Power Sources ◽  
Renewable Power ◽  
Power Stations

Egypt is progressing from a power system with old traditional thermal power stations to a cutting-edge power system with a profoundly productive combined cycle power plants (Siemens 14.4 GW power plants) and an expanding portion of sustainable power sources. By 2022, Egypt intends to produce 20 % of its power from renewables [1]. Benban Solar Park venture is considered as the world's largest solar power plant, with total capacity of about 1.8 GW. The large renewable power stations, especially the solar power plants, have a significant effect on power systems stability due to rapid and large fluctuations in power generation caused by various factors such as the intermittency of solar irradiance, climate change and tripping out of power electronic based converters connected to the system. This paper presents the specialized technical details of the assessment and results to ensure that the Egyptian Transmission System (ETS) is capable to evacuate the renewable power in safe manner under various operating conditions

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