Elaborate Reliability Evaluation of Cyber Physical Distribution Systems Considering Fault Location, Isolation and Supply Restoration Process

Abstract

The existing reliability models of the cyber physical distribution systems, which are mostly based on some simplified assumptions, cannot accurately evaluate the reliability of complex cases in practical engineering applications. To solve this problem, an elaborate reliability evaluation method considering the whole process of fault location, isolation and supply restoration is proposed. This paper establishes reliability models of components and the two systems, summarizes the mapping relationship between various cyber system failures and the physical fault handling into several laws, proposes the reliability evaluation procedure in the framework of Monte Carlo method, and verifies the feasibility and effectiveness of the method in an actual distribution network cyber physical system. In the proposed method, the multiple component characteristics, complex topological structure, coupling relationship of the cyber-physical distribution systems, and the actual human-computer joint participation are considered in the analysis of fault location, isolation and supply restoration process, which provides a effective and accurate theory for the application of reliability evaluation in the actual distribution network and prosumer energy management system.

A Collaborative Planning Method for the Source and Grid in a Distribution System That Considers Risk Measurement

“…The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. (0, 1), (0, 3), (11,52), (14,52), (41, 53), (36, 53), (28,53), (30, 51), (22,51), (21,51), (1,2), (9,10), (3,4), (4,5), (5,6), (11,12), (12,13), (14,15), (46, 47), (40, 41), (41, 42), (33, 34), (27,28), (8,27), (12,45), (33, 39), (32, 39), (37, 43), (10,31), (8,25), (9,22), (18,21), (18,19) (1, 9), (9,17)…”

“…The formula is expressed as (17) where c p is the economic benefit created by the unit electricity consumption in the planned area, SAIDI and SAIDI 0 are the average power outage time and its upper limit values of the distribution system users. SAIDI and ENS are both obtained through the reliability evaluation method in literature [22].…”

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

“…Reducing the utility bill to deceive the utility [40], [56], [61], [96], [122] Losing the financial The physical threats aim at the power system components, e.g., transmission lines, generators, and transformers, that can change the power system's topology or trigger cascading failures [114]- [116]. As the transmission lines can spread over a large area, it is easy to be attacked than the substations.…”