Abstract

In this paper, verification of real-time pricing systems of electricity is considered using a probabilistic Boolean network (PBN). In real-time pricing systems, electricity conservation is achieved by manipulating the electricity price at each time. A PBN is widely used as a model of complex systems, and is appropriate as a model of real-time pricing systems. Using the PBN-based model, real-time pricing systems can be quantitatively analyzed. In this paper, we propose a verification method of real-time pricing systems using the PBN-based model and the probabilistic model checker PRISM. First, the PBN-based model is derived. Next, the reachability problem, which is one of the typical verification problems, is formulated, and a solution method is derived. Finally, the effectiveness of the proposed method is presented by a numerical example.

Highlights

  • In recent years, there has been growing interest in energy and the environment

  • In real-time pricing systems, electricity conservation is achieved by manipulating the electricity price at each time

  • We propose a verification method of real-time pricing systems using the probabilistic Boolean network (PBN)-based model and the probabilistic model checker PRISM

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Summary

Introduction

There has been growing interest in energy and the environment. For problems on energy and the environment such as energy saving, several approaches have been studied (see, e.g., [1] [2]). We focus on real-time pricing systems of electricity. The authors have proposed in [12] the PBN-based model of real-time pricing systems. In this model, decision making of electric consumers is modeled by a PBN. We propose a verification method of real-time pricing systems using the PBN-based model and the probabilistic model checker PRISM [13]. The proposed method provides us a basic of model-based design of real-time pricing systems.

Real-Time Pricing Systems
Probabilistic Boolean Networks
Model of Consumers
Problem Formulation
Preparation
Description in PRISM
Verification and Application to MPC
Numerical Example
Conclusions

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