Multi-objective distribution network restoration using heuristic approach and mix integer programming method

Ćirić, Rade M.; Popović, D. S.

doi:10.1016/s0142-0615(00)00018-1

Cited by 43 publications

(32 citation statements)

References 2 publications

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“…However, these meta-heuristic methods need the extensively computational time when applied in practical distribution networks. In [31,32], the fault isolation and service restoration process is formulated by objective functions which will be solved by mathematical programming approaches, e.g., mixed integer non-linear/linear problem (MINLP/MILP). The mathematical programming approaches can mostly get the optimization, but the computation time usually exceeds the allowably practical time due to the problem of combinatorial expansion.…”

Section: Post-fault Service Restoration Methods In Dnsmentioning

confidence: 99%

FLISR Approach for Smart Distribution Networks Using E-Terra Software—A Case Study

Bùi

Ngo

et al. 2018

Energies

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A smart grid concept has been defined in recent years, which emphasizes the importance on smart protection and measurement devices, reliable data communication and high security, optimal energy management system, and fault detection, location, isolation and service restoration (FLISR) of distribution networks (DNs). The main objectives of the FLISR approach are to achieve fast fault processing time, reduce the minimum number of interrupted customers, and improve the power supply reliability of the distribution. The conventional FLISR approach is to use signals of fault indicators (FIs) with distribution network states. The discrete installation of FIs to switches or reclosers may slow the processing time of fault detection and location, so it is necessary to develop a more efficient FLISR approach for smart distribution networks using functions of feeder terminal units (FTUs). In this paper, pick-up and tripping signals of overcurrent (OC) relays in combination with distribution grid states (e.g., switching status of devices, loss of voltage…) sent from feeder terminal units (FTUs) are used to detect and locate different fault types. Fault isolation and service restoration of black-out areas are then performed by solving an objective function with two main constraints, including (i) restoring the possible maximum number of out-of-service loads; and (ii) limiting the minimum number of switching operation. Thirteen performance factors (PF) are used for the post-fault service restoration process, consisting of: (i) Power Flow Violations (PFV), (ii) Bus Voltage Violations (BVV), (iii) Total Operation Cost (TOC), (iv) Lost Power (LP), (v) Outage Customer (OC), (vi) Number of Switching Steps (NSS), (vii) Power Losses (LOSS); (viii) Customer Minutes Interruption (CMI), (ix) Load Minutes Interruption (LMI), (x) MAIFI, (xi) SAIFI, (xii) SAIDI, and (xiii) Protection Validation (PRV). E-Terra platform of a distribution management system (DMS) is used to implement the proposed FLISR approach. Simulation and experiment results from a real 22 kV distribution network are also analysed to validate this FLISR approach. As a result, the novel FLISR approach has the ability to identify effectively the over-reaching of OC relays, indicate a mis-coordination risk of adjacent protection devices on the same feeder, and get the total processing time of fault detection, location and isolation as well as ranking all possible service restoration plans in distribution network at less than two minutes.

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Section: Post-fault Service Restoration Methods In Dnsmentioning

confidence: 99%

FLISR Approach for Smart Distribution Networks Using E-Terra Software—A Case Study

Bùi

Ngo

et al. 2018

Energies

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“…Maintain the voltage limit at all buses along the healthy feeder. This can be achieved by calculating the current limit corresponding to the voltage limit of the healthy feeder as in [11]:…”

Section: Expert Based Restoration Problem Formulationmentioning

confidence: 99%

“…where I v h is the maximum additional current that can flow through the healthy feeder without violating its voltage limit, V bh is the voltage magnitude of bus h having the lowest magnitude along healthy feeder, V min is the minimum allowable bus voltage magnitude (e.g., 0.9 p.u. ), and Z ph is the magnitude of impedance for the portion of the healthy feeder contributing to the restoration path starting from the substation to the bus closest to bus h [11]. 4.…”

Section: Expert Based Restoration Problem Formulationmentioning

confidence: 99%

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Multi-Agent Based Control Scheme for Electrical Distribution System Restoration

Hafez¹,

Omran²,

Hegazy³

2015

Period. Polytech. Elec. Eng. Comp. Sci.

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Continuity of the electric supply is considered one of the main power quality indices, and thus, it is essential to perform fast and efficient restoration of electricity following outages. However, this might not be always an easy task, especially in large distribution networks. In this paper, an efficient multi-agent based control scheme is introduced to restore the maximum possible out of service loads without violating any of the technical constraints of the electric network. The proposed scheme utilizes a number of agents distributed along the feeder to gather the necessary information and communicate it to the decision making agent at the faulted feeder head. The decision making agent first attempts to restore all the out of service loads through group restoration. However, if this is not possible due to violating any of the technical constrains, then the agent attempts to restore as much loads as possible through a zone restoration process. To validate the effectiveness of the proposed control scheme, two case studies are presented to show the group and zone restorations. The distribution system is simulated in the MATLAB environment to perform the required power flow calculations and provide the necessary information to the agents. On the other hand, the agents are implemented in JADE environment where the communication and decision making process occurs.

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“…ISTRIBUTION automation has become an important method to improve power supply reliability in China since the 1990s [1][2][3][4] . Distribution Automation in reducing line losses, improving production efficiency, enhancing information integration and many other advantages are reflected [5][6][7] .…”

Section: Introductionmentioning

confidence: 99%

Study on the index system of distribution automation operation

Wang¹,

Zhao²,

Zhang³

et al. 2014

2014 International Conference on Power System Technology

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Distribution automation has improved significantly in distribution network information and interactive, it has been applied in a wide range of our country at present, it has to meet the distribution network rapid demand for high-quality development. However, due to its construction cycle longer (it normally takes several years), does not obtain the scale benefits immediately, it is need to monitor distribution automation construction and operation need to monitor and evaluate regularly, which can either summarize the experience of distribution automation construction, and provide guidance for distribution automation development. This paper, according to the different types of distribution automation system, puts forward a set of index system to distribution automation operation, the aim is to improve the distribution automation operation efficiency. The index system mainly includes remote control, communication, remote signal, master station and other categories of indexes. The index system not only can real, comprehensive, dynamic response of the actual operation situation of distribution automation system, but also adapt to different systems, which could solve the problems of basic information lack and human modify indexes . The index system has been recognition by State Grid Corporation of China, and has been used in many cities. Finally, in order to validate the index system, selected five typical cities to use the index system, the test result showing that the index system is easy to use, and has provided the powerful technical support operation analysis of distribution automation.Index Terms-Distribution automation; operation; indexes system; analytic hierarchy process P. Wang is with the school

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Multi-objective distribution network restoration using heuristic approach and mix integer programming method

Cited by 43 publications

References 2 publications

FLISR Approach for Smart Distribution Networks Using E-Terra Software—A Case Study

FLISR Approach for Smart Distribution Networks Using E-Terra Software—A Case Study

Multi-Agent Based Control Scheme for Electrical Distribution System Restoration

Study on the index system of distribution automation operation

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