Abstract
Smart self-healing is perceived as a new alternative to ensure reliability and quality of power supply with the development of intelligent communication and control technology. On the basis of multistage characteristics of self-healing control, this article proposes an integrated multistage self-healing strategy for smart distribution systems using multiagent system (MAS), in which the complex self-healing problem is decomposed into phased sub-problems and is addressed by a unified control framework composed of different algorithms of stages. In the proposed control framework, decision-making agents vary with fault points and transition between self-healing stages making the technique fully decentralized. Stressing on the coordination between stage algorithms composed of communication self-adaption, fault tolerance, fault location and isolation, service restoration and state regression, the proposed strategy features well real-time control performance and relatively complete self-healing functions. Comprehensive simulation studies are carried out on the 84-bus and 22-bus distribution systems using MATLAB and JADE and the self-healing test platform respectively, and the test results have shown the effectiveness of the proposed strategy.
Highlights
The main contributions of this paper are summarized as follows: 1) This paper presents an integrated multistage strategy on the basis of multistage characteristics of self-healing control, which decomposes the complex self-healing problem into simpler phased sub-problems and is collaboratively addressed by different algorithms at different stages, different from previously heuristic-rule-based [27, 36], expert-rule-based [29], graph-theory-based [37], multistate-based [17,18,19] fully decentralized multiagent system (FDMAS) or centralized service restoration methods and centralized resilience-based [38,39,40], decentralized multiagent system (DMAS)-based [41,42,43] FLISR approaches
Backup fault isolation operations are activated until the related primary protection fails due to the failed devices, which of rules are descripted as follows: Rule 1: If an agent locates a fault in its backup protection zone (BPZ) but the fault is not detected in its primary protection zone (PPZ) by itself and its neighbors due to CT failure, the agent can assert that a CT fails at the overlap between the PPZs within its BPZ, switches off the circuit breaker (CB) on the boundary of the BPZ locating the fault
In this paper, an integrated multistage strategy is proposed based on FDMAS for self-healing distribution systems with distributed generators (DGs), which covers throughout the self-healing process
Summary
The main contributions of this paper are summarized as follows: 1) This paper presents an integrated multistage strategy on the basis of multistage characteristics of self-healing control, which decomposes the complex self-healing problem into simpler phased sub-problems and is collaboratively addressed by different algorithms at different stages, different from previously heuristic-rule-based [27, 36], expert-rule-based [29], graph-theory-based [37], multistate-based [17,18,19] FDMAS or centralized service restoration methods and centralized resilience-based [38,39,40], DMAS-based [41,42,43] FLISR approaches.
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