Integration of artificial intelligence applications in the EMS: issues and solutions

Bann, J.; Irisarri, G.D.; Kirschen, Daniel S.; Miller, B.N.; Mokhtari, Soroush

doi:10.1109/59.486136

Cited by 19 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among these, Electricite de France (EDF) studies the application of rule‐based decision tree and knowledge‐based expert system in power grid stability assessment and decision making . The Empros Power Control Center in the United States attempts to apply intelligent tools to the energy management system (EMS) at the time . The Scottish Power Company adopts the iKue solution to sort out the experiences of the dispatchers and engineers as knowledge, achieving transfer of knowledge within the organization .…”

Section: The Conception Of Parallel Dispatchmentioning

confidence: 99%

“…66 The Empros Power Control Center in the United States attempts to apply intelligent tools to the energy management system (EMS) at the time. 67 The Scottish Power Company adopts the iKue solution to sort out the experiences of the dispatchers and engineers as knowledge, achieving transfer of knowledge within the organization. 68 In addition, the United States PJM Company consecutively proposes the concepts of advanced control center (AC2) and perfect dispatch (PD).…”

Section: Evolution Of Smart Dispatching In Eeps Fieldmentioning

confidence: 99%

See 1 more Smart Citation

Smart dispatching for energy internet with complex cyber‐physical‐social systems: A parallel dispatch perspective

Cheng

2019

Int J Energy Res

View full text Add to dashboard Cite

Summary Energy internet (EI) is a complex coupled multienergy system; it is essential to investigate its multienergy dispatching optimization issues. To this end, this paper first proposes a novel conception of smart dispatching for EI with a complex cyber‐physical‐social system (CPSS) network from the perspective of parallel dispatch, called parallel dispatching robot (PDR), and investigates the implementations of PDR based on smart artificial society (SAS) modeling. First, we introduce EI and describe the dispatching issues of EI. Second, we discuss several important concepts supporting the parallel dispatch conception of EI, including knowledge automation (KA), CPSS, and parallel machine learning (PML). On the basis of these, we elaborate the concept of parallel dispatch. Moreover, we construct a large closed‐loop feedback control framework of parallel dispatch for EI integrating a CPSS network based on KA and PML. Third, we establish an experimental platform for PDR research based on the proposed parallel dispatch framework. Fourth, we develop the PML‐based SAS models of a single PDR in centralized dispatching modes and group PDRs in decentralized dispatching modes to achieve crowd wisdom emergence and performance improvement in current cyber‐physical system frameworks of EI. Moreover, we design an external global closed loop for PDR to evaluate its operation stability. Lastly, we conduct a detailed discussion on PDR and offer some prospects for its engineering implementations. The biggest innovation of this paper lies in systematically proposing the smart dispatching concept and framework for complex CPSS‐based EI from the perspective of parallel dispatch and thoroughly investigating how to use SAS modeling to implement parallel dispatching and control for EI considering human and social factors, which is a major extension and theoretical improvement to existing single smart wide area robot concept and a preliminary attempt in investigating a shift from Energy 4.0 to Energy 5.0 in China.

show abstract

Section: The Conception Of Parallel Dispatchmentioning

confidence: 99%

Section: Evolution Of Smart Dispatching In Eeps Fieldmentioning

confidence: 99%