Enlightening Customers on Merits of Demand-Side Load Control: A Simple-But-Efficient-Platform
| Autor: | Saeed Teimourzadeh, Osman Bulent Tor, Sabri Murat Kisakurek, Adela Bara, Mahmut Erkut Cebeci, Simona-Vasilica Oprea |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Schedule
General Computer Science Linear programming renewable energies Computer science smart home 020209 energy Control (management) Tariff 02 engineering and technology Load profile Demand response 0202 electrical engineering electronic engineering information engineering General Materials Science community aggregator Application programming interface business.industry 020208 electrical & electronic engineering General Engineering Industrial engineering Distribution systems Renewable energy Software deployment lcsh:Electrical engineering. Electronics. Nuclear engineering User interface business lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 8, Pp 193238-193247 (2020) |
| ISSN: | 2169-3536 |
| Popis: | The impressive advantages offered by of demand-side participation have accelerated deployment of demand response (DR) programs. However, the first step to attain the benefits of DR programs is to increase awareness level of the customers. This paper proposes a simple-but-efficient platform to enlighten the costumers on manifested merits of demand-side load control. The proposed platform is a web-based application which acquires the load profile of the customer, associated flexible appliances, and the customer preferences for using the appliances. In turn, presents the optimal operation schedule for flexible appliances and attained benefits from using the optimal schedule. To calculate the optimal operation schedule, a mixed-integer linear optimization model is devised where the decision variables are settings of flexible appliances, charge/discharge status and amount of storage device, charge/discharge status, and amount of electrical vehicle. The devised optimization engine is linked to a database to acquire required data for optimization which encompasses historical data for customer load, forecasts of renewables, ratings of customers’ flexible appliances, and subjected energy tariff. The attained optimal scheduling for the customer is then returned to the database. On the other hand, the database is linked to the web-based user interface to get the user preferences (write to the database) and represent the recommendation for optimal operation and attained benefits (read from database). To manage the links between web-based user interface, database, and optimization tool, proper linking application programming interfaces (APIs) are devised. The proposed platform is testified using real-world data and its effectiveness is assured by experimental studies. |
| Databáze: | OpenAIRE |
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