Agent-based power equilibrium in a smart grid with XBOOLE

Veith, Eric Msp; Steinbach, Bernd

doi:10.1109/dt.2017.8024329

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…The LPEP guarantees the optimal solution to be found [23]. COHDA, on the other hand, does not give this guarantee.…”

Section: Simulation-based Testing a Lpep++ Compared To Cohdamentioning

confidence: 97%

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Robust and Deterministic Scheduling of Power Grid Actors

Frost¹,

Veith²,

Fischer³

2020

Preprint

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Modern power grids need to cope with increasingly decentralized, volatile energy sources as well as new business models such as virtual power plants constituted from battery swarms. This warrants both, day-ahead planning of larger schedules for power plants, as well as short-term contracting to counter forecast deviations or to accommodate dynamics of the intra-day markets. In addition, the geographic distribution of renewable energy sources forces scheduling algorithms with a hugely different communication link qualities. In this paper, we present an extension to the Lightweight Power Exchange Protocol (LPEP), dubbed LPEP++. It draws on the strength of the LPEP to find the optimal solution of the combinatorial power demand-supply problem with string guarantees in acceptable time and extends it with facilities for long-term planning, parallel negotiations and reduces its memory footprint. We furthermore show its robustness towards volatile communication link quality.

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“…The LPEP guarantees the optimal solution to be found [23]. COHDA, on the other hand, does not give this guarantee.…”

Section: Simulation-based Testing a Lpep++ Compared To Cohdamentioning

confidence: 97%

“…It leverages the power of Ternary Vector Lists (TVLs) to model demand and supply. Thus, it is guaranteed to arrive at the optimal solution for a given set of input data [23]. Its current shortcoming is its granularity: The LPEP starts negotiation for every timestep anew.…”

Section: Related Workmentioning

confidence: 99%