Abstract

IoT is the technical basis to realize the CPS (Cyber Physical System) for distribution networks, with which the complex system becomes more intelligent and controllable. Because of the multihop and self-organization characteristics, the large-scale heterogeneous CPS network becomes more difficult to plan. Using topological potential theory, one of typical big data analysis technologies, this paper proposed a novel optimal CPS planning model. Topological potential equalization is considered as the optimization objective function in heterogeneous CPS network with the constraints of communication requirements, physical infrastructures, and network reliability. An improved binary particle swarm optimization algorithm is proposed to solve this complex optimal problem. Two IEEE classic examples are adopted in the simulation, and the results show that, compared with benchmark algorithms, our proposed method can provide an effective topology optimization scheme to improve the network reliability and transmitting performance.

Highlights

  • With the development of network technology, computer technology, and embedded technology, the National Natural Science Foundation of the United States proposed the Cyber Physical Systems (CPS), which is a kind of novel intelligent complex systems tightly integrated and interacted with different scales of computation, communication, and physical components in future networks [1, 2]

  • This paper fully considers the heterogeneous characteristics of CPSDN and proposes a novel topology potential equilibrium model to handle CSPDN planning problem

  • Different from the homogeneous nodes in wireless sensor network or IoT, the CPS terminals in power distribution network are heterogeneous from communication requirement and information models

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Summary

Introduction

With the development of network technology, computer technology, and embedded technology, the National Natural Science Foundation of the United States proposed the Cyber Physical Systems (CPS), which is a kind of novel intelligent complex systems tightly integrated and interacted with different scales of computation, communication, and physical components in future networks [1, 2]. In order to meet the requirements in CPSDN such as overall perception and real-time control, an optimal CPS network infrastructure planning to integrate those heterogeneous components is very important, but it is more difficult. Hu et al modeled the distribution network and its communication subnetwork based on complex network theory and presented a topology optimization strategy to improve network’s static and dynamic reliability [11]. Different from the traditional wireless sensor network, CPS should consider the communication requirements, and the heterogeneous demands from the service objects of physical system. This paper fully considers the heterogeneous characteristics of CPSDN and proposes a novel topology potential equilibrium model to handle CSPDN planning problem.

Topological Potential Equilibrium CPSDN Planning Model
Problem Statement with Topological Potential Theory
Generalized Quality and Potential Function of CPSDN
Binary Particle Swarm Optimization Algorithm
Simulation and Performance Evaluation
Position
P12 P11
Findings
Conclusion
Full Text
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