Abstract
With the rapid increase of wireless network traffic, the energy consumption of mobile network operators (MNOs) continues to increase, and the electricity bill has become an important part of the operating expenses of MNOs. The power grid as the power supplier of cellular networks is also developing rapidly. In this paper, we design two levels of bilateral matching algorithm to solve the energy management of micro-grid connected cellular networks. There are multiple retailers (sellers) and clusters (buyers) in our system model, which determine the transaction price and trading energy respectively and have a certain influence on the balance of energy supply and demand. Retailers make more profits by adjusting the price of electricity in matching algorithm M-1, depending on the energy they capture and the level of storage. At the same time, clusters adjust the electricity consumption through matching algorithm M-2 and power allocation on the basis of ensuring the quality of users’ service. Finally, the performance of the proposed scheme is evaluated by changing various parameters in the simulation.
Highlights
In recent years, the prelude of a new round of the energy revolution has commenced, since the distributed energy resources, which have the properties of low environmental costs, renewability, and world-wide distribution, have been increasingly integrated into the power system [1,2,3].Traditional power systems will face a significant transition to cope with the new changes and challenges.In view of this, micro-grids that are comprised of networked groups of distributed loads and renewable generators become an appealing solution
The work in [9] considers that the base stations are aggregated as a micro grid with hybrid energy supplies and an associated central energy storage, which can store the harvested renewable energy and the purchased on-grid energy over time to minimize the on-grid energy cost of a large-scale green cellular network
We set the maximum capacity of each storage is BEzmax = 2000 mW, z ∈ Z, only for the traffic of the clusters is low in our setting
Summary
The prelude of a new round of the energy revolution has commenced, since the distributed energy resources, which have the properties of low environmental costs, renewability, and world-wide distribution, have been increasingly integrated into the power system [1,2,3]. It is very important to coordinate the energy management of power generation and electricity consumption in the micro-grid. Micro-grids will fundamentally change the traditional way of coping with load growth, and have great potential in reducing energy consumption and improving the reliability and flexibility of power system. The work in [9] considers that the base stations are aggregated as a micro grid with hybrid energy supplies and an associated central energy storage, which can store the harvested renewable energy and the purchased on-grid energy over time to minimize the on-grid energy cost of a large-scale green cellular network. A novel architecture for micro-grid connected cellular networks is proposed in [10], which are equipped with renewable energy generators and finite battery storage to minimize energy cost. We propose an optimized energy management framework for micro-grid connected cellular networks.
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