Improving Electricity Network Efficiency and Customer Satisfaction in Generation Constrained Power System

Azasoo, Julius Quarshie, Al-Sherbaz, Ali ORCID: 0000-0002-0995-1262, Kanakis, Triantafyllos and Agyeman, Michael Opoku (2019) Improving Electricity Network Efficiency and Customer Satisfaction in Generation Constrained Power System. In: 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, Piscataway, NJ, pp. 2010-2015. ISBN 9781728105215

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9360 Azasoo, J.Q., Kanakis, T., Al-Sherbaz, A., Agyeman, M.O. (2019) Improving-electricity-network-efficiency-and-customer-satisfaction-in-generation-constrained-power-system.pdf - Accepted Version
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Abstract

Electricity situation in generation constrained power systems creates a high level of inconvenience for both utilities and their consumers. In this paper, we examined the causes of the constraints and the mitigating methods being adopted. The demand for electricity cannot be allowed to exceed the available generation as it could cause the entire power system to collapse. Therefore, electricity utilities are motivated to turn off some sections of the network in order to reduce the demand. Lack of funds makes it difficult for such systems to increase their generation capacity. A key concern is the hardship imposed by the sectional blackouts that they create. Smart metering promises an interim solution but the cost of deployment is of great concern. We proposed a smart metering simulation tool which is then used to model a micro-load manageable smart metering system based on certain priorities of loads. Algorithms and optimisation techniques are then developed to micro-load manage the demand so as to maintain some level of customer essential energy requirements. Simulation result shows that the proposed system is efficient in micro-load managing electricity demand. The proposed system has the potential to prevent total blackouts and associated inconveniences as well as improve the efficiency of such power systems.

Item Type: Book Section
Article Type: Article
Uncontrolled Keywords: Network Efficiency; Customer Satisfaction; Generation Constrained Power System
Subjects: H Social Sciences > HF Commerce > HF5001 Business
H Social Sciences > HF Commerce > HF5001 Business > HF5428 Retail Trade
Divisions: Schools and Research Institutes > School of Computing and Engineering > Engineering Technologies
Research Priority Areas: Applied Business & Technology
Depositing User: Kate Greenaway
Date Deposited: 16 Feb 2021 16:18
Last Modified: 01 Aug 2021 22:31
URI: https://eprints.glos.ac.uk/id/eprint/9360

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