Development of Emergency System of Power Grids with a Significant Renewable Generation

2016 ◽  
Vol 12 (4) ◽  
pp. 22-26
Author(s):  
B.S. Stognii ◽  
◽  
O.V Kyrylenko ◽  
V.V. Pavlovsky ◽  
M.F. Sopel ◽  
...  
Author(s):  
T. Nesti ◽  
J. Moriarty ◽  
A. Zocca ◽  
B. Zwart

This paper investigates large fluctuations of locational marginal prices (LMPs) in wholesale energy markets caused by volatile renewable generation profiles. Specifically, we study events of the form P ( LMP ∉ ∏ i = 1 n [ α i − , α i + ] ) , where LMP is the vector of LMPs at the n power grid nodes, and α − , α + ∈ R n are vectors of price thresholds specifying undesirable price occurrences. By exploiting the structure of the supply–demand matching mechanism in power grids, we look at LMPs as deterministic piecewise affine, possibly discontinuous functions of the stochastic input process, modelling uncontrollable renewable generation. We use techniques from large deviations theory to identify the most likely ways for extreme price spikes to happen, and to rank the nodes of the power grid in terms of their likelihood of experiencing a price spike. Our results are derived in the case of Gaussian fluctuations, and are validated numerically on the IEEE 14-bus test case. This article is part of the theme issue ‘The mathematics of energy systems’.


2007 ◽  
Author(s):  
Tyler R. Perdersen ◽  
Jacob Farnsworth ◽  
Cindy Meakin

2019 ◽  
pp. 123-128 ◽  
Author(s):  
Maksim V. Demchenko ◽  
Rostislav O. Ruchkin ◽  
Eugenia P. Simaeva

The article substantiates the expediency of improving the legal support for the introduction and use of energy-efficient lighting equipment, as well as smart networks (Smart Grid), taking into account the ongoing digitalization of the Russian economy and electric power industry. The goal of scientific research is formulated, which is to develop practical recommendations on optimization of the public relations legal regulation in the digital power engineering sector. The research methodology is represented by the interaction of the legal and sociological aspects of the scientific methods system. The current regulatory and legal basis for the transformation of digital electricity relations has been determined. The need to modernize the system of the new technologies introduction legal regulation for generation, storage, transmission of energy, intelligent networks, including a riskbased management model, is established. A set of standardsetting measures was proposed to transform the legal regulation of public relations in the field of energyefficient lighting equipment with the aim of creating and effectively operating a single digital environment, both at the Federal and regional levels. A priority is set for the development of “smart” power grids and highly efficient power equipment in the constituent entities of the Russian Federation through a set of legal, economic (financial), edu cational measures.


2018 ◽  
Vol 138 (9) ◽  
pp. 757-765 ◽  
Author(s):  
Yuki Izumida ◽  
Hiroshi Asano ◽  
Shigeru Bando

2017 ◽  
Vol 1 (15) ◽  
pp. 719-724
Author(s):  
J.A. Domínguez-Navarro ◽  
J.L. Bernal-Agustín ◽  
R. Dufo-Lopéz ◽  
J.S. Artal-Sevil ◽  
A.A. Bayod-Rújula ◽  
...  

Author(s):  
A.C.C. Coolen ◽  
A. Annibale ◽  
E.S. Roberts

This chapter reviews graph generation techniques in the context of applications. The first case study is power grids, where proposed strategies to prevent blackouts have been tested on tailored random graphs. The second case study is in social networks. Applications of random graphs to social networks are extremely wide ranging – the particular aspect looked at here is modelling the spread of disease on a social network – and how a particular construction based on projecting from a bipartite graph successfully captures some of the clustering observed in real social networks. The third case study is on null models of food webs, discussing the specific constraints relevant to this application, and the topological features which may contribute to the stability of an ecosystem. The final case study is taken from molecular biology, discussing the importance of unbiased graph sampling when considering if motifs are over-represented in a protein–protein interaction network.


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