Residential end-uses disaggregation and demand response evaluation using integral transforms
| Autor: | Alejandro Marín-Parra, C. Alvarez, Sergio Valero-Verdú, Roque Molina, Antonio Gabaldón |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
TK1001-1841
Engineering Smart meters 020209 energy Instantaneous frequency TJ807-830 Energy Engineering and Power Technology 02 engineering and technology 010501 environmental sciences 01 natural sciences Instantaneous phase Renewable energy sources Hilbert transform Demand response symbols.namesake Aggregation Production of electric energy or power. Powerplants. Central stations 0202 electrical engineering electronic engineering information engineering 0105 earth and related environmental sciences Government Renewable Energy Sustainability and the Environment business.industry Electrical engineering Integral transform Industrial engineering Work (electrical) symbols INGENIERIA ELECTRICA Load monitoring business |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname Journal of Modern Power Systems and Clean Energy, Vol 5, Iss 1, Pp 91-104 (2017) |
| DOI: | 10.1007/s40565-016-0258-8 |
| Popis: | [EN] Demand response is a basic tool used to develop modern power systems and electricity markets. Residential and commercial segments account for 40%-50% of the overall electricity demand. These segments need to overcome major obstacles before they can be included in a demand response portfolio. The objective of this paper is to tackle some of the technical barriers and explain how the potential of enabling technology (smart meters) can be harnessed, to evaluate the potential of customers for demand response (end-uses and their behaviors) and, moreover, to validate customers' effective response to market prices or system events by means of non-intrusive methods. A tool based on the Hilbert transform is improved herein to identify and characterize the most suitable loads for the aforesaid purpose, whereby important characteristics such as cycling frequency, power level and pulse width are identified. The proposed methodology allows the filtering of aggregated load according to the amplitudes of elemental loads, independently of the frequency of their behaviors that could be altered by internal or external inputs such as weather or demand response. In this way, the assessment and verification of customer response can be improved by solving the problem of load aggregation with the help of integral transforms. This work has been supported by Spanish Government (Ministerio de Economia, Industria y Competitividad) and EU FEDER fund (No. ENE2013-48574-C2-2-P&1-P, No. ENE2015-70032-REDT). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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