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Efficient Control Strategies to Optimize Electricity Cost and Consumer Satisfaction

Efficient Control Strategies to Optimize Electricity Cost and Consumer Satisfaction

Daud Mustafa Minhas, Sajjad Hussain
Copyright: © 2016 |Pages: 28
ISBN13: 9781522500728|ISBN10: 1522500723|EISBN13: 9781522500735
DOI: 10.4018/978-1-5225-0072-8.ch004
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MLA

Minhas, Daud Mustafa, and Sajjad Hussain. "Efficient Control Strategies to Optimize Electricity Cost and Consumer Satisfaction." Smart Grid as a Solution for Renewable and Efficient Energy, edited by Ayaz Ahmad and Naveed Ul Hassan, IGI Global, 2016, pp. 69-96. https://doi.org/10.4018/978-1-5225-0072-8.ch004

APA

Minhas, D. M. & Hussain, S. (2016). Efficient Control Strategies to Optimize Electricity Cost and Consumer Satisfaction. In A. Ahmad & N. Hassan (Eds.), Smart Grid as a Solution for Renewable and Efficient Energy (pp. 69-96). IGI Global. https://doi.org/10.4018/978-1-5225-0072-8.ch004

Chicago

Minhas, Daud Mustafa, and Sajjad Hussain. "Efficient Control Strategies to Optimize Electricity Cost and Consumer Satisfaction." In Smart Grid as a Solution for Renewable and Efficient Energy, edited by Ayaz Ahmad and Naveed Ul Hassan, 69-96. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0072-8.ch004

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Abstract

Increasing consumer demand of electricity is difficult for the conventional power system network to handle, regarding both cost and infrastructure. Instead of expanding the expensive infrastructure, power engineers are now focusing on improving efficiencies and effectiveness of existing power networks. This chapter specifically focuses on low cost electricity supply, by introducing the novel concept of digital energy management system in hybrid AC/DC micro-grid. It is assumed that grid is partially powered by time varying renewable resources. The concept of minimizing time average electricity cost is introduced by efficient utilization of these renewable resources and by making the load demands more flexible to operate while taking converter losses into account. Real time pricing model is introduced to elaborate the advantage of time-of-use pricing. Control decisions will be achieved by proposing a load scheduling and hybrid switching (LSHS) algorithm. This algorithm will be capable of supplying low cost electricity while serving the load demands under specific delay bounds.

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