Industrial Loads Used as Virtual Resources for a Cost-Effective Optimized Power Distribution

Charles Ibrahim,Nivine Abou Daher,Maarouf Saad,Semaan W Georges,Hadi Y Kanaan,Imad Mougharbel

doi:10.1109/access.2020.2966736

Abstract

Industrial Customers are dispersed at various levels of the electrical network and fed together with other customers' categories in a distributed environment. Optimizing industrial processes in the presence of other customers' categories supplied by the same infrastructure is a challenging issue. Existing studies have analyzed the effect of different Industrial Demand Response Programs on the distribution network, which also supplies other customers' categories. They show the need for improving the distribution performance although multiple demand response programs have been suggested for this purpose. In this paper, a new approach is presented considering an optimal synchronized process among all consumers' categories. It shows that the balance between generation and demand is maintained, the customer satisfaction is guaranteed, the profit is maximized and the cost is minimized for all customers. Various time constraints set by different industry productions are considered in the optimization process. Fairness problems, multiple pricing schemes and formulation for the same are elaborated. The method is validated through a simulation on Matlab using K-Means Clustering and multi-objective particle swarm optimization (MOPSO) along with data prediction.

Highlights

Various types of Demand Response Programs (DRPs) can be offered for residential, commercial and industrial consumers on the electrical network. Each of these categories can account for roughly one-third of the electricity use as in USA as per United States Environmental Protection Agency (EPA) and United States Energy Information Administration (EIA) sites [1], [2]
The topology of conventional electricity distribution separates usually industrial zones from other consumers’ zones but they are managed at a specific level by one master player like the distribution service operator (DSO)
It is required to have a new energy management model with multiple stages optimization to study the various expected profiles, aggregate them and propose relocation based on various proposed pricing schemes and aligned with targets. It is a continuity of the works performed on [6], [7]. This paper addresses these topics while involving all types of DRPs and while taking into consideration the availability of internal industrial facilities

Summary

Introduction

Various types of Demand Response Programs (DRPs) can be offered for residential, commercial and industrial consumers on the electrical network. Every category and its related sub-categories have relevant impacts on DRPs. The topology of conventional electricity distribution separates usually industrial zones from other consumers’ zones but they are managed at a specific level by one master player like the distribution service operator (DSO). The topology of conventional electricity distribution separates usually industrial zones from other consumers’ zones but they are managed at a specific level by one master player like the distribution service operator (DSO) Their management at similar specific layer becomes a necessity while coordinating their various. The industrial loads are considered as virtual resources with flexible capacities that can be managed to handle the network stress that might result from aggregated loads through optimization and system harmonization They offer ancillary services such as regulation and load following. In [4], DSO, producing

Methods

Results

Conclusion