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

Research output: Contribution to conference typesPaperResearchpeer-review

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.
Original languageEnglish
Pages1-6
Number of pages6
Publication statusAccepted/In press - 2019
EventInternational Conference on Control, Decision and Information Technologies - Paris, France
Duration: 23 Apr 201926 Apr 2019
Conference number: 6

Conference

ConferenceInternational Conference on Control, Decision and Information Technologies
CountryFrance
CityParis
Period23/04/1926/04/19

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Customer satisfaction
Electricity
Costs

Cite this

Azasoo, J., Kanakis, T., Al-Sherbaz, A., & Opoku Agyeman, M. (Accepted/In press). Improving Electricity Network Efficiency and Customer Satisfaction in Generation Constrained Power System. 1-6. Paper presented at International Conference on Control, Decision and Information Technologies , Paris, France.
Azasoo, Julius ; Kanakis, Triantafyllos ; Al-Sherbaz, Ali ; Opoku Agyeman, Michael. / Improving Electricity Network Efficiency and Customer Satisfaction in Generation Constrained Power System. Paper presented at International Conference on Control, Decision and Information Technologies , Paris, France.6 p.
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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.",
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Azasoo, J, Kanakis, T, Al-Sherbaz, A & Opoku Agyeman, M 2019, 'Improving Electricity Network Efficiency and Customer Satisfaction in Generation Constrained Power System' Paper presented at International Conference on Control, Decision and Information Technologies , Paris, France, 23/04/19 - 26/04/19, pp. 1-6.

Improving Electricity Network Efficiency and Customer Satisfaction in Generation Constrained Power System. / Azasoo, Julius; Kanakis, Triantafyllos; Al-Sherbaz, Ali; Opoku Agyeman, Michael.

2019. 1-6 Paper presented at International Conference on Control, Decision and Information Technologies , Paris, France.

Research output: Contribution to conference typesPaperResearchpeer-review

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T1 - Improving Electricity Network Efficiency and Customer Satisfaction in Generation Constrained Power System

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AU - Al-Sherbaz, Ali

AU - Opoku Agyeman, Michael

PY - 2019

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N2 - 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.

AB - 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.

M3 - Paper

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Azasoo J, Kanakis T, Al-Sherbaz A, Opoku Agyeman M. Improving Electricity Network Efficiency and Customer Satisfaction in Generation Constrained Power System. 2019. Paper presented at International Conference on Control, Decision and Information Technologies , Paris, France.