A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market
In this paper, an original scheduling approach for optimal dispatch of electrical Energy Storage Systems (ESS) in modern distribution networks is proposed. The control system is based on fuzzy rules and does not use forecasts since it repairs the past history according to the real time data on the e...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2013-11-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/6/11/5738 |
| _version_ | 1811184639354601472 |
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| author | Ninh Nguyen Quang Gaetano Zizzo Roberto Gallea Eleonora Riva Sanseverino Maria Luisa Di Silvestre |
| author_facet | Ninh Nguyen Quang Gaetano Zizzo Roberto Gallea Eleonora Riva Sanseverino Maria Luisa Di Silvestre |
| author_sort | Ninh Nguyen Quang |
| collection | DOAJ |
| description | In this paper, an original scheduling approach for optimal dispatch of electrical Energy Storage Systems (ESS) in modern distribution networks is proposed. The control system is based on fuzzy rules and does not use forecasts since it repairs the past history according to the real time data on the electrical energy cost, renewable energy production and load. When the system detects a worsening of performances, the fuzzy logic rule-based control system self-adapts its membership functions using an economic indicator. The common use, in the relevant literature, of forecasted values in such systems can lead to large errors and economic losses. Moreover the speed of calculation guaranteed by the fuzzy control system allows the execution of new calculations even with high frequency. After the Introduction section, where the state of the art on the topic is outlined, the problem formulation is presented and an interesting application of the considered approach to the control on a medium size battery with real world data is proposed. |
| first_indexed | 2024-04-11T13:15:47Z |
| format | Article |
| id | doaj.art-4c001266fe6e45e0b27362c179e40057 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T13:15:47Z |
| publishDate | 2013-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-4c001266fe6e45e0b27362c179e400572022-12-22T04:22:24ZengMDPI AGEnergies1996-10732013-11-016115738575910.3390/en6115738A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy MarketNinh Nguyen QuangGaetano ZizzoRoberto GalleaEleonora Riva SanseverinoMaria Luisa Di SilvestreIn this paper, an original scheduling approach for optimal dispatch of electrical Energy Storage Systems (ESS) in modern distribution networks is proposed. The control system is based on fuzzy rules and does not use forecasts since it repairs the past history according to the real time data on the electrical energy cost, renewable energy production and load. When the system detects a worsening of performances, the fuzzy logic rule-based control system self-adapts its membership functions using an economic indicator. The common use, in the relevant literature, of forecasted values in such systems can lead to large errors and economic losses. Moreover the speed of calculation guaranteed by the fuzzy control system allows the execution of new calculations even with high frequency. After the Introduction section, where the state of the art on the topic is outlined, the problem formulation is presented and an interesting application of the considered approach to the control on a medium size battery with real world data is proposed.http://www.mdpi.com/1996-1073/6/11/5738schedulingESSfuzzy logicheuristic repairrolling horizon |
| spellingShingle | Ninh Nguyen Quang Gaetano Zizzo Roberto Gallea Eleonora Riva Sanseverino Maria Luisa Di Silvestre A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market Energies scheduling ESS fuzzy logic heuristic repair rolling horizon |
| title | A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market |
| title_full | A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market |
| title_fullStr | A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market |
| title_full_unstemmed | A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market |
| title_short | A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market |
| title_sort | self adapting approach for forecast less scheduling of electrical energy storage systems in a liberalized energy market |
| topic | scheduling ESS fuzzy logic heuristic repair rolling horizon |
| url | http://www.mdpi.com/1996-1073/6/11/5738 |
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