Abstract
This chapter introduces an extensible, platform independent, smart grid simulation framework that combines discrete event and power flow simulation building blocks with AMPL, an optimization environment allowing the use of many commercial solvers. Extensive simulations are then performed using this framework to confirm that the proposed control scheme satisfies the operating constraints of the distribution system, and compare its efficiency with the two benchmark schemes presented in the previous chapter.
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- 1.
The only exception is the scenario in which there are 100 PV panels and 100 storage systems; hence, PV panels are fewer than EV chargers. In this scenario, the other 100 EV chargers are installed at randomly selected businesses.
- 2.
We attribute abrupt changes in the total real power output of PV inverters when our control is implemented to changes in the number of active chargers, load fluctuations, reverse flow restrictions, and storage capacity constraints.
- 3.
Electric utilities have a rough estimate of resistive losses in their distribution circuits, enabling them to appropriately choose the equipment setpoints.
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Ardakanian, O., Keshav, S., Rosenberg, C. (2016). Evaluation. In: Integration of Renewable Generation and Elastic Loads into Distribution Grids. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-39984-3_5
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DOI: https://doi.org/10.1007/978-3-319-39984-3_5
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