An adaptive overcurrent protection system applied to distribution systems

https://doi.org/10.1016/j.compeleceng.2019.106545Get rights and content

Abstract

In this paper, an innovative adaptive directional overcurrent protection system for electric power distribution systems with respect to distributed generation is proposed. The proposed system supervises network topology based on the monitoring functionality of numerical relays. The system detects any changes in the configuration and recalculates the directional overcurrent protection settings by using a microgenetic algorithm. The proposed system was evaluated for several operating scenarios and insertion levels of distributed generation, and then compared with both conventional and adaptive protection systems by means of a traditional genetic algorithm. The results showed that the performance of the proposed system is superior to the other two methods in terms of both speed and selectivity. This shows that this is a promising proposal for the protection of modern electric power distribution systems.

Introduction

The supply of electricity is undoubtedly a great worldwide concern given our ever-increasing dependence on electricity. To ensure the quality of the electric power provided by utility companies, electricity regulatory agencies monitor several parameters. One of these parameters is the âǣcontinuity of serviceâǥ, which can be impaired by many kinds of disturbances; fortunately, the electrical systems have protection systems whose function is to ensure the continuity of electricity supply to users. In the case of the electrical power distribution systems (EPDS), the protection task is mainly performed by overcurrent devices which must be programmed to act in a coordinated manner; however, in systems containing numerous protection devices, their coordination becomes difficult. This problem has become increasingly complex due to the increasing prominence of distributed generation (DG), which is a common term that refers to the plant which is directly connected to EPDS and is not centrally planned and dispatched [1].

Despite its many advantages, the insertion of generating units in EPDS can cause several problems, for example, changes in the classical protection schemes and bidirectional power flow. To mitigate these problems, several strategies have been studied, among which the so-called adaptive protection strategy stands out, which can be understood as a protection strategy that aims to automatically adjust the protection functions to the prevailing operating conditions of the system. In practice, this strategy can be implemented in several ways, for example, by using:

  • (i)

    Protection based on communication schemes [2], [3]: this enables high performance in terms of the operation speed; however, it calls for massive investments in communication technology.

  • (ii)

    Automatic selection of setting groups [4], [5], [6]: shows good performance in situations for which the settings have been programmed, however, due to the limited number of setting groups that can be stored in digital relays, only a few operating scenarios can be contemplated.

  • (iii)

    Online monitoring and calculation of relay settings [7], [8], [9]: comprises one of the most widespread methods, for there are no scenario limitations, but does not guarantee the best possible settings, as it does not usually use optimization methods.

  • (iv)

    Optimization methods to perform real-time coordination [10], [11], [12] : this derives from iii, with the additional assurance of optimal settings for all possible scenarios; however, it requires high processing because it uses optimization methods, which usually require high computational effort.

In addition to these, several other techniques have been proposed to solve this problem, such as usage of fault current limiters, optimal relay coordination, etc. The state of the art of (iv) was analyzed and it has revealed that, to date: a) the use of optimization methods to perform the coordination of directional overcurrent relays (DOCR) in EPDS in the presence of DG is a relatively incipient line of research; b) the works involving optimization methods present the most efficient solutions; however, one of the disadvantages of the methods used in this category is low processing speed. Nevertheless, developments in processing technology are enabling the production of processors with increasingly better performance; therefore, this drawback will be overcome in time.

The current work fits into this context and proposes an adaptive protection system for primary EPDS in presence of DG which was based on the monitoring of circuit breaker status and active power at monitoring points near DG centers. These signals can be easily obtained from the protection system and can be processed for decision making. A microgenetic algorithm (µGA) was used to perform the optimal coordination of DOCR. This choice was due to its robustness and speed [13], which are essential characteristics for solving the protection problem.

To validate the proposed adaptive protection system, that will be referred to as APSµg, a database with several fault cases was simulated using the Simulink/MATLAB platform. Subsequently, the proposed system was compared with the conventional protection system, that will be referred to as CPS, and an adaptive protection system with the traditional genetic algorithm, that will be referred to as APSga.

The article is organized as follows: Section 2 has a brief description of the coordination of directional overcurrent relay; In Section 3, we discuss the optimal coordination of DOCR; Section 4 contains the proposal for an adaptive protection system; In Sections 5 and 6, the methodology used, and results obtained are discussed; Finally, Section 7 contains the conclusions.

Section snippets

Classical coordination of directional overcurrent relay

The EPDS is the most dynamic part of the power system because it is connected directly to consumers, where several relevant activities occur, due to either power system routine operations or the occurrence of disturbances. The predominant design of the EPDS is radial in structure, with unidirectional power flow and a protection system consisting mainly of DOCR installed at the beginning of the feeders at the substations, in addition to fuses and reclosers. The directional overcurrent protection

Optimal coordination of DOCR

Optimization involves finding the best possible alternative among all feasible possibilities, which can be many or infinite. Thus, solving an optimization problem requires the formulation of the problem under study, which will result in an objective function, also called fitness function, whose value must be maximized or minimized. The problem may require restrictions or links, which may be relationships of equality or inequality. In 1988, [17] proposed the use of optimization methods as a

Adaptive protection system

Basically, adaptive protection is a protection strategy that seeks to adjust protection settings to all possible conditions to which the power system may be subjected, ensuring that the correct operation is performed, notwithstanding the system topology. Among the various types of architecture already proposed [19], a decentralized type, composed of several independent control centers and dividing the relay into sectors, was selected. Fig. 3 shows one of the units of the decentralized

Validation methodology

The methodology presented in Fig. 6 was developed to test and validate the APSµg, and it was all programmed in the Simulink/MATLAB platform:

Each step of the flowchart will be described in 5.1 Test system, 5.5 Calculation of optimal values for all scenarios. The main idea was to generate a database with several cases, varying the types and locations of faults as well as the quantity of DG. This database was used to measure the performance of the APSµg against the APSga and the CPS.

Results

In this section, the obtained results will be presented and discussed. It is expected that each scenario change in an EPDS with DG will result in changes of protection settings, and those call for the application of the adaptive protection concept. The validation of the APSµg was made by relating it to the APSga and the CPS. Given the large number of simulated cases (1980), only a few are discussed in Sections 6.1 to 6.3. However, statistical analyses contemplating all cases are discussed in

Conclusion

In this work, an adaptive directional overcurrent protection system for electric power distributed systems with the presence of distributed generation was proposed. The system was based on a microgenetic algorithm aimed at both protecting the electrical system, and perform the protection optimally. The proposed system continuously monitors the status of circuit breakers and the active power of distributed generation detecting any changes in these variables, and then the system recalculates the

Declaration of Competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

CRediT authorship contribution statement

Jamile P. Nascimento: Conceptualization, Methodology, Software. Núbia S.D. Brito: Supervision, Writing - review & editing. Benemar A. Souza: Supervision, Writing - review & editing.

Acknowledgment

The authors thank the National Council for Scientific and Technological Development (CNPq) and the Coordination of Improvement of Higher Education Personnel (CAPES) for their financial support.

Jamile P Nascimento received the B.Sc. and M.Sc. degrees in electrical engineering from the Federal University of Campina Grande (UFCG), Campina Grande, Brazil, in 2012 and 2014, respectively, where she is currently pursuing the Ph.D. degree. Her research interests include power systems protection and distributed generation.

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    Jamile P Nascimento received the B.Sc. and M.Sc. degrees in electrical engineering from the Federal University of Campina Grande (UFCG), Campina Grande, Brazil, in 2012 and 2014, respectively, where she is currently pursuing the Ph.D. degree. Her research interests include power systems protection and distributed generation.

    Núbia S. D. Brito received the BSc (1988) and PhD (2001) degrees in electrical engineering from the Federal University of Paraiba, Brazil and the MSc (1996) degree in electrical engineering from the State University of Campinas (UNICAMP), Brazil. She is currently a Professor in the Federal University of Campina Grande, Brazil. Her research interest focuses on electrical distribution.

    Benemar A. Souza holds a Ph.D. in Electrical Engineering from the Federal University of Paraíba (UFPB), Brazil, (1995), from which he also received the titles of bachelor (1977) and Master of Electrical Engineering (1981). He is currently professor at the Federal University of Campina Grande (UFCG), Brazil. His current research activities are related to numerical optimization, and electrical distribution.

    This paper is for regular issues of CAEE. Reviews processed and recommended for publication to the Editor-in-Chief by Associate Editor Dr. Jia-Shing Sheu.

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