Informatics and Applications
2019, Volume 13, Issue 2, pp 76-82
HETEROGENEOUS THINKING PROTOCOL OF HYBRID INTELLIGENT MULTIAGENT SYSTEM FOR SOLVING DISTRIBUTIONAL POWER GRID RECOVERY PROBLEM
- A. V. Kolesnikov
- S. V. Listopad
Abstract
The problem of power supply restoration in the regional distributional power grid after large-scale accidents is characterized by high combinatorial complexity, heterogeneity, underdetermination, inaccuracy, and ambiguity. The use of the collective problem solving mechanism to overcome the listed non-factors in the sense of A. S. Narinyani is impossible due to time constraints. To solve this problem, a new class of intelligent systems that model collective decision-making under the guidance of a facilitator is proposed, namely, hybrid intelligent multiagent systems of heterogeneous thinking. Unlike traditional hybrid intelligent systems that integrate models of expert knowledge, they additionally model group processes and effects arising from collective problem solving, adapting to the dynamic nature of the problem of restoring the regional distribution grid. The paper discusses one of the components of such systems, namely, the protocol for organizing collective heterogeneous thinking of agents.
[+] References (20)
- Adibi, M. M., and L. H. Fink. 2006. Overcoming restoration challenges associated with major power system disturbances. IEEE Power Energy M. 4(5):68-77.
- Krasnik, V.V. 2005. Potrebiteli elektricheskoy energii, en- ergosnabzhayushchie organizatsii i organy Rostekhnadzora. Pravovye osnovy vzaimootnosheniy [Consumers of electric
energy, energy supplying organizations and bodies ofRos- technadzor. Legal basis of relationships]. Moscow: ENAS. 250 p.
- Narinyani, A. S. 2008. Inzheneriya znaniy i NE-faktory: kratkiy obzor-08 [Knowledge engineering and nonfactors: A brief overview-08]. Voprosy iskusstvennogo in- tellekta [Artificial Intelligence Issues] 1:61-77.
- Kolesnikov, A.V., and S.V Listopad. 2019. Hybrid intelligent multiagent system of heterogeneous thinking for solving the problem of restoring the distribution power grid after failures. Open Semantic Technologies for Intelligent Systems: Research Papers Collection. Minsk: BGUIR. 133-138.
- Kolesnikov, A. V. 2001. Gibridnye intellektual'nye siste- my. Teoriya i tekhnologiya razrabotki [Hybrid intelligent systems: Theory and technology of development]. St. Petersburg: SPbSTU Publs. 711 p.
- Tarasov, V. B. 2002. Ot mnogoagentnykh sistem k intellektu- al'nym organizatsiyam: filosofiya, psikhologiya, informatika [From multiagent systems to intelligent organizations: Philosophy, psychology, and informatics]. Moscow: Editorial URSS. 352 p.
- Gardner, H. 1993. Multiple intelligences - the theory in practice. New York, NY: Basic Books. 320 p.
- De Bono, E. 1994. Parallel thinking: From Socratic to De Bono thinking. Melbourne: Penguin Books. 228 p.
- Kaner, S., L. Lind, C. Toldi, S. Fisk, and D. Beger. 2011. The facilitator's guide to participatory decision-making. San Francisco, CA: Jossey-Bass. 368 p.
- Kolesnikov, A.V., and S.V. Listopad. 2018. Model' gib- ridnoy intellektual'noy mnogoagentnoy sistemy getero- gennogo myshleniya dlya informatsionnoy podgotovki operativnykh resheniy v regional'nykh elektricheskikh setyakh [Model of a hybrid intelligent multiagent system of heterogeneous thinking for preparation of information about operational decisions in a regional power system]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 28(4):31-41.
- Tang, A. Y. C., and G. S. Basheer. 2017. A Conflict Resolution Strategy Selection Method (ConfRSSM) in multiagent systems. Int. J. Adv. Computer Sci. Appl. 8(5):398- 404.
- Kolesnikov, A. V., and S.V. Listopad. 2019. Funktsional'- naya struktura gibridnoy intellektual'noy mnogoagentnoy
sistemy geterogennogo myshleniya dlya resheniya prob- lemy vosstanovleniya raspredelitel'noy elektroseti [Functional structure of the hybrid intelligent multiagent system of heterogeneous thinking for solving the problem of restoring the distribution power grid]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 29(1):41- 52.
- Gorodetskiy, V. I., M. S. Grushinskiy, and A. V. Khabalov. 1998. Mnogoagentnye sistemy (obzor) [Multiagent systems (review)]. Novosti iskusstvennogo intellekta [Artificial Intelligence News] 2:64-116.
- Singh, M. P., and A. K. Chopra. 2010. Programming multiagent systems without programming agents. Programming multi-agent systems. Eds. L. Braubach, J.-P. Briot, and J. Thangarajah. Lecture notes in artificial intelligence ser. Springer. 5919:1-14.
- Singh, R., A. Singh, and S. Mukherjee. 2014. A critical investigation of agent interaction protocols in multiagent systems. Int. J. Advancements Technology 5(2):72-81.
- Smith, G. 1980. The Contract Net Protocol: High level communication and control in a distributed problem solver. IEEE T. Comput. 29(12):1104-1113.
- Smith, R. G. 1981. A framework for distributed problem solving. Ann Arbor, MI: UMI Research Press. 188 p.
- Weerasooriya, D., A. S. Rao, and K. Ramamohanarao. 1994. Design of a concurrent agent-oriented language. Intelligent agents. Eds. M. J. Wooldridge and N. R. Jennings. Lecture notes in computer science ser. Springer. 890:386-401.
- Zlotkin, G., and J. Rosenschtein. 1996. Mechanisms for automated negotiation in state oriented domain. J. Artif. Intell. Res. 5:163-238.
- Marzougui, B., and K. Barkaoui. 2013. Interaction protocols in multi-agent systems based on agent Petri nets model. Int. J. Advanced Computer Sci. Appl. 4(7):166-173.
[+] About this article
Title
HETEROGENEOUS THINKING PROTOCOL OF HYBRID INTELLIGENT MULTIAGENT SYSTEM FOR SOLVING DISTRIBUTIONAL POWER GRID RECOVERY PROBLEM
Journal
Informatics and Applications
2019, Volume 13, Issue 2, pp 76-82
Cover Date
2019-06-30
DOI
10.14357/19922264190211
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
heterogeneous thinking; hybrid intelligent multiagent system; distributional power grid recovery
Authors
A. V. Kolesnikov and S. V. Listopad
Author Affiliations
Immanuel Kant Baltic Federal University, 14 A. Nevskogo Str., Kaliningrad 236041, Russian Federation
Kaliningrad Branch of the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 5 Gostinaya Str, Kaliningrad 236022, Russian Federation
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