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Electrical Energy Retail Price Optimization for an Interconnected/Islanded Power Grid

Saeidpour Parizy, Ehsan
http://orcid.org/0000-0003-1122-8361
http://rave.ohiolink.edu/etdc/view?acc_num=akron1512463830323059

Abstract Details

2017, Doctor of Philosophy, University of Akron, Electrical Engineering.
It is widely known that electric power systems are currently experiencing profound changes that result in improved efficiency, security and environmental friendliness of such systems. These changes are happening in all layers of the electric power grid. Via these changes, the generation mix and the distribution system, as well as the consumers' demand, will be transformed into a "smart grid". With the emerging requirements for renewable portfolio standard (RPS) and the regulatory limitations on the emission of greenhouse gases, environmental issues have become even more important in electric power systems. The RPS regulations generally obligate the electricity supply companies to allocate a minimum portion of their capacity to approved renewable energy sources (RESs). The biggest challenge to integrate RESs into the generation mix is their inevitably intermittent power generation. The non-dispatchable property of these sources, particularly at high levels of penetration, can compromise the generation efficiency, which will result in higher energy retail tariffs. The overall aim of this dissertation is to investigate optimization techniques, applicable to different layers of the electric power system, that can improve the system efficiency in terms of the cost of energy generation, transmission, and delivery. Several techniques, including generation expansion planning (GEP), demand response (DR), and real-time pricing (RTP) are studied, and their impacts on system efficiency are evaluated. For GEP, we propose a two-step optimization technique to investigate the optimal generation profile and the distribution of the energy sources in the system to minimize the generation cost and reduce the transmission and distribution (T&D) losses. We, next, introduce a very low complexity and secure DR technique to decrease the peak to average ratio (PAR) of the load profile, which results in a more sustainable generation mix. We also investigate the integration of distributed generation (DG), with an emphasis on the RESs, into electric micro-grids. We study the effect of DG on the load and generation profiles from energy retail price point of view. Finally, a new dynamic real-time pricing tariff methodology for sustainable integration of distributed RESs is proposed and its functionality is evaluated.
Hamid Bahrami (Advisor)
Subramaniya Hariharan (Committee Member)
Malena Espanol (Committee Member)
Seungdeog Choi (Committee Member)
Siamak Farhad (Committee Member)
129 p.
Electrical Engineering; Energy
Electric power system, Generation Expansion Planning, Optimal Power Flow, Smart Grid, Demand Side management, Demand Response, Load Shaping, Micro-grid, Real-time Pricing Tariff

Recommended Citations

Citations

  • Saeidpour Parizy, E. (2017). Electrical Energy Retail Price Optimization for an Interconnected/Islanded Power Grid [Doctoral dissertation, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1512463830323059

    APA Style (7th edition)

  • Saeidpour Parizy, Ehsan. Electrical Energy Retail Price Optimization for an Interconnected/Islanded Power Grid. 2017. University of Akron, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1512463830323059.

    MLA Style (8th edition)

  • Saeidpour Parizy, Ehsan. "Electrical Energy Retail Price Optimization for an Interconnected/Islanded Power Grid." Doctoral dissertation, University of Akron, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1512463830323059

    Chicago Manual of Style (17th edition)

akron1512463830323059
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This open access ETD is published by University of Akron and OhioLINK.