scholarly journals Division of the energy market into zones in variable weather conditions using Locational Marginal Prices

2013 ◽  
Author(s):  
Karol Wawrzyniak ◽  
Grzegorz Orynczak ◽  
Michal Klos ◽  
Aneta Goska ◽  
Marcin Jakubek
Keyword(s):  
Weather Conditions ◽  
Energy Market ◽  
Marginal Prices ◽  
Locational Marginal Prices ◽  
Variable Weather

Are Locational Marginal Prices a Good Heuristic to Divide Energy Market into Bidding Zones?

2015 ◽  
Author(s):  
Marcin Jakubek ◽  
Karol Wawrzyniak ◽  
Michal Klos ◽  
Marcin Blachnik
Keyword(s):  
Energy Market ◽  
Marginal Prices ◽  
Locational Marginal Prices

scholarly journals Partitioning Power Grid for the Design of the Zonal Energy Market while Preserving Control Area Constraints

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 610
Author(s):  
Marcin Blachnik ◽  
Karol Wawrzyniak ◽  
Marcin Jakubek
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Power Grid ◽  
Flow Analysis ◽  
Control Area ◽  
Energy Market ◽  
Agglomerative Clustering ◽  
Grid Security ◽  
Marginal Prices ◽  
Locational Marginal Prices

The use of a zonal structure for energy markets across the globe is expanding; however the debate on how to effectively partition the grid into bidding zones is still open for discussion. One of the factors that needs to be addressed in the process of bidding zones’ delimitation is the transmission system operators control areas. Merging parts of different control areas into one bidding zone can lead to multiple problems, ranging from political, through grid security concerns, to reserve control issues. To address it, this paper presents a novel grid partitioning method aimed at bidding zones delimitation that is based on clustering the power grid using an extended version of the standard agglomerative clustering. The proposed solution adds additional clustering rules when constructing the dendrogram in order to take into account the control areas. The algorithm is applied to the data which represents the locational marginal prices obtained from optimal power flow analysis.

scholarly journals VISIBILITY MONITORING USING MOBILE APPLICATION

2018 ◽  
Vol XLII-5 ◽  
pp. 883-891
Author(s):  
S. Purohit ◽  
P. Chauhan
Keyword(s):  
Mobile Application ◽  
Smart Phone ◽  
Quantitative Measure ◽  
Weather Conditions ◽  
Optical Instruments ◽  
Important Concern ◽  
Transport Safety ◽  
Continuous Power ◽  
Variable Weather ◽  
Solar Position

<p><strong>Abstract.</strong> Visibility is clarity with which the distant objects are perceived in the atmosphere with the naked eye. Visibility monitoring is an important concern in health, environment and transport safety context. Quantitative measures of visibility are increasingly becoming important in various areas as they are representative of the particles present in the environment that causes degradation of the visibility. Existing techniques of visibility estimation employ human observers, optical instruments, chemical sensors or combination of some of them. These techniques suffer from poor spatial and temporal resolution, high cost of installation and maintenance, need of specialized personnel, continuous power supply requirement and difficulty in portability. We propose a smart phone-based visibility monitoring system which estimates air visibility/quality in terms of a quantitative measure: Turbidity. In principle, the application calculates turbidity as difference of intensity of captured sky image and analytical value of sky luminance obtained by implementing Perez model. The estimated turbidity tagged with date, time, location, solar position and luminance is sent to the backend server generating consolidated database for mapping of turbidity and generating various analytical reports. The application can easily be deployed to be used by large number of people facilitating citizen science. The results from application were validated against the observations from SAFAR INDIA application at different stations in Ahmedabad, dates and under variable weather conditions.</p>

scholarly journals Stress-resilient maize for climate-vulnerable ecologies in the Asian tropics

2020 ◽  
pp. 1264-1274
Author(s):  
P.H. Zaidi ◽  
Thanh Nguyen ◽  
Dang N. Ha ◽  
Suriphat Thaitad ◽  
Salahuddin Ahmed ◽  
...  
Keyword(s):  
Climate Change ◽  
Agricultural Research ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Yield Potential ◽  
Specific Situation ◽  
Environment Interaction ◽  
Maize Germplasm ◽  
Growing Conditions ◽  
Variable Weather

Most parts of the Asian tropics are hotspots of climate change effects and associated weather variabilities. One of the major challenges with climate change is the uncertainty and inter-annual variability in weather conditions as crops are frequently exposed to different weather extremes within the same season. Therefore, agricultural research must strive to develop new crop varieties with inbuilt resilience towards variable weather conditions rather than merely tolerance to individual stresses in a specific situation and/or at a specific crop stage. C4 crops are known for their wider adaptation to range of climatic conditions. However, recent climatic trends and associated variabilities seem to be challenging the threshold limit of wider adaptability of even C4 crops like maize. In collaboration with national programs and private sector partners in the region, CIMMYT-Asia maize program initiated research for development (R4D) projects largely focusing on saving achievable yields across range of variable environments by incorporating reasonable levels of tolerance/resistance to major abiotic and biotic stresses without compromising on grain yields under optimal growing conditions. By integrating novel breeding tools like - genomics, double haploid (DH) technology, precision phenotyping and reducing genotype × environment interaction effects, a new generation of maize germplasm with multiple stress tolerance that can grow well across variable weather conditions were developed. The new maize germplasm were targeted for stress-prone environments where maize is invariability exposed to a range of sub-optimal growing conditions, such as drought, heat, waterlogging and various virulent diseases. The overarching goal of the stress-resilient maize program has been to achieve yield potential with a downside risk reduction.

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