Potential of Heat Pumps for Demand Side Management and Wind Power Integration in the German Electricity Market

2012 ◽  
Vol 3 (4) ◽  
pp. 636-642 ◽  
Author(s):  
Georgios Papaefthymiou ◽  
Bernhard Hasche ◽  
Christian Nabe
Keyword(s):  
Wind Power ◽  
Electricity Market ◽  
Demand Side Management ◽  
Heat Pumps ◽  
Demand Side ◽  
Wind Power Integration

Integrated electricity and heating demand-side management for wind power integration in China

Energy ◽  
2014 ◽  
Vol 78 ◽  
pp. 235-246 ◽  
Author(s):  
Yulong Yang ◽  
Kai Wu ◽  
Hongyu Long ◽  
Jianchao Gao ◽  
Xu Yan ◽  
...  
Keyword(s):  
Wind Power ◽  
Demand Side Management ◽  
Demand Side ◽  
Wind Power Integration

Social License to Automate: Emerging Approaches to Demand Side Management - Executive Summary

2021 ◽  
Author(s):  
Sophie Adams ◽  
Lisa Diamond ◽  
Tara Esterl ◽  
Peter Fröhlich ◽  
Rishabh Ghotge ◽  
...  
Keyword(s):  
Case Studies ◽  
Electric Vehicles ◽  
Demand Side Management ◽  
Heat Pumps ◽  
Final Report ◽  
Demand Side ◽  
Executive Summary ◽  
Air Conditioners ◽  
Social License

Executive Summary of the final report of the Users TCP Social License to Automate Task findings from a 2 year project with 16 researchers in 6 countries, 26 Case studies spanning electric vehicles, home and precinct batteries, air conditioners and other heat pumps.

scholarly journals Distributed Demand Side Management with Stochastic Wind Power Forecasting

2020 ◽  
Author(s):  
Paolo Scarabaggio ◽  
Sergio Grammatico ◽  
Raffaele Carli ◽  
Mariagrazia Dotoli
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
Smart Grids ◽  
Demand Side Management ◽  
Expected Value ◽  
Noncooperative Game ◽  
Theory Approach ◽  
Demand Side ◽  
Wind Power Forecasting ◽  
Power Forecasting

In this paper, we propose a distributed demand side management (DSM) approach for smart grids taking into account uncertainty in wind power forecasting. The smart grid model comprehends traditional users as well as active users (prosumers). Through a rolling-horizon approach, prosumers participate in a DSM program, aiming at minimizing their cost in the presence of uncertain wind power generation by a game theory approach.<br>We assume that each user selfishly formulates its grid optimization problem as a noncooperative game.<br>The core challenge in this paper is defining an approach to cope with the uncertainty in wind power availability. <br>We tackle this issue from two different sides: by employing the expected value to define a deterministic counterpart for the problem and by adopting a stochastic approximated framework.<br>In the latter case, we employ the sample average approximation technique, whose results are based on a probability density function (PDF) for the wind speed forecasts. We improve the PDF by using historical wind speed data, and by employing a control index that takes into account the weather condition stability.<br><div>Numerical simulations on a real dataset show that the proposed stochastic strategy generates lower individual costs compared to the standard expected value approach.</div><div><br></div><div>Preprint of paper submitted to IEEE Transactions on Control Systems Technology<br></div>

scholarly journals Demand Side Management and Its Impact on the Gambia Energy Sector

2021 ◽  
pp. 1-9
Author(s):  
Musa Manneh ◽  
◽  
Sidat Yaffa ◽  
Keyword(s):  
Electricity Market ◽  
Policy Instruments ◽  
Demand Side Management ◽  
Energy System ◽  
Natural Increase ◽  
The Gambia ◽  
Demand Side ◽  
Pilot Studies ◽  
Pilot Model ◽  
Electricity Access

Demand Side Management (DSM) in electricity market is a tool that can improved energy efficiency as well as achieve socio-economic and environmental targets through controlled consumption. For the past two decade or more, DSM programs have registered significant results for many countries. However, detailed analysis of its real impact as observed by a large number of pilot studies suggest that such programs need to be fine-tuned to suit clearly identified energy mix conditions in different countries. This article aims to provide recommendations for the policy instruments to be used for prompt demand response with a view to maximizing energy and environmental efficiencies of The Gambia. This article suggests a DSM pilot model program that can be used in the generation mix of the country. Beside the natural increase electricity access benefits from IPPs and cross border interconnection, DSM’s fully implementation will improve the flexibility and reliability of the Gambia energy system. In recent years, we show fast increase demand for electricity access but a slow response in meeting generation capacity, simple DSM tools can be used to solve this ordeal

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