front cover of ICT for Electric Vehicle Integration with the Smart Grid
ICT for Electric Vehicle Integration with the Smart Grid
Nand Kishor
The Institution of Engineering and Technology, 2020
Electric vehicles (EVs) offer a cleaner mode of personal transportation and a new way to store energy, but also present challenges to the grid due to additional distributed storage and load. With rising numbers of EVs on the streets, problems can include voltage limits violation or line congestion, mainly at the distribution level. All those operating devices in the grid, from network operators/managers to EVs owners, need fast communication with low latency, high security and reliability. The book addresses EVs as a driving source for realizing smart grid operation. It provides chapters from multidisciplinary academic and industry communities related to EVs charging schemes and technologies, and its associated communication, networking and information architectures.
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front cover of Modeling and Dynamic Behaviour of Hydropower Plants
Modeling and Dynamic Behaviour of Hydropower Plants
Nand Kishor
The Institution of Engineering and Technology, 2017
Hydropower is a mature and cost-competitive renewable energy source, contributing the bulk of global renewable electricity. Over the past decades, computer technology has led to significant possible improvements in monitoring, diagnostics, protection and control through retrofitting of large plants, and there is potential for additional large plants as well as for smaller installations.
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front cover of Synchrophasor Technology
Synchrophasor Technology
Real-time operation of power networks
Nand Kishor
The Institution of Engineering and Technology, 2023
Phasor measurement units (PMUs) provide time synchronized measurements of phase angles of voltages or currents. These synchrophasors are used in electricity grids to support planning and operation. In the past decade, transmission network planners and grid operators have been using PMUs for monitoring applications. Improvements are still needed to realise the full potential of PMU data for more complex power systems with distributed renewables and increased loads. Challenges related to noise and higher frequency components from various dynamic behaviours of grid components, including electric vehicles, are prevalent.
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