Study On Planning And Robust Operations For Distributed Energy Supply Chain Networks

With the increasing reliance on energy and the exposed disadvantages of the traditional centralized energy supply system, how to find out a new energy system has become the world's problem to be solved. Due to the high efficiency of energy use, small environmental negative impacts, high reliability of energy supply and good economic benefits, distributed energy system (DES) has been hailed as a golden key to solve the energy problems and has become the core technology in the new type energy systems. Thus, from the perspective of the energy supply chain, it is very significant to study on the planning and the robust operation of the distributed energy supply chain network, which could provide the reference and recommendations for the efficient use of the DES.This paper focuses on the planning of the distributed energy supply network and the robust operation of the DES supply chain under unsafe environment. And the research tries to provide the suggestions and reference for the efficient use of the DES and for developing energy supply networks with high efficiency, low cost and high reliability.Based on the theory of Bi-level Programming, according to the fluctuant power and heat demand of customers in a region, taking the minimum cost of the regional DES construction and operation as objective function, a bi-level programming model for the regional DES network construction is formulated. The model is used to deal with distributed energy supply network planning problems including the number, capacity and location of the energy suppliers, the ownership of the customers and the heat convey network optimal planning.A hybrid algorithm of a tabu search algorithm combined with k-means algorithm and a simulated annealing algorithm combined with scanning algorithm has been provided to solve the bi-level programming model. Dynamic change and mutation is added into neighbor structure of the tabu search algorithm in order to get overall optimum. At last a testing experiment platform with C# is developed to verify the validity of the algorithm through experiments. The results of the computational experiment have indicated that the proposed algorithm is effective. According to the energy supply cost comparison with the traditional centralized energy supply system, the good benefit of the planning method in this paper is indicated.The Inoperability Input-Output Model (IIM) is deployed for assessing the impacts of disruptive events on DES supply chain networks under unsafe environment. And according to the characteristics of the influencing factors of relationships among nodes in supply chain, a new method called OWA Operator is formulated to evaluate the interdependency matrix of the IIM. The IIM for DES supply chain networks is capable of describing the propagation effects of disruptions to interdependent supply chain components. The"inoperability"and"economic losses"metrics have been used to assess the impacts of disruptions to DES supply chain networks. An example DES supply chain network is used to illustrate the application of IIM for systemic risk assessment of supply chains under unsafe environment. And a risk mitigation strategy has been considered to reduce the adverse effects. In addition, a simulation model integrated with Monte Carlo simulation method has been developed to validate the accuracy of the IIM for DES supply chain.