Northampton Electronic Collection of Theses and Research

An algorithm for micro-load shedding in generation constrained electricity transmission network

Azasoo, J., Kuada, E., Osei Boateng, K. and Opoku Agyeman, M. (2017) An algorithm for micro-load shedding in generation constrained electricity transmission network. Paper presented to: Institute of Electrical and Electronics Engineers (IEEE) Power and Energy Society (PES) PowerAfrica Conference 2017, Accra, Ghana, 27-30 June 2017.

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An Algorithm for Micro-Load Shedding in Generation Constrained Electricity Transmission Network .pdf - Accepted Version
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Abstract:
Adequate generation capacity to meet the increasing demand of electricity has remained the main focus of both developed and developing economies. In order to maintain the safety generation and distribution systems, constant load shedding is employed to maintain equilibrium between overall generation and total demand per unit period. This paper proposes a distribution management algorithm to micro-load manage the load shedding process by considering households and all electricity based devices as unique loads that can be individually managed. Consequently, the proposed algorithm prevents total blackout in communities affected by the load shedding. Experiments were conducted on a simulation environment made up of over a 25 households each equipped with a smart meter, and loads of varied quantity and types. The results obtained from the experiment show that our proposed micro-load management algorithm is effective for micro-load managing demands in near real time.
Uncontrolled Keywords:
Micro-load management, algorithm, automatic load shedding, average history consumption, distribution network, smart metering
Subjects:
T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Creators:
Azasoo, J., Kuada, E., Osei Boateng, K. and Opoku Agyeman, M.
Faculties, Divisions and Institutes:
Faculties > Faculty of Arts, Science & Technology > Computing
Date:
27 June 2017
Date Type:
Publication
Event Title:
Institute of Electrical and Electronics Engineers (IEEE) Power and Energy Society (PES) PowerAfrica Conference 2017
Event Dates:
27-30 June 2017
Event Location:
Accra, Ghana
Event Type:
Conference
Language:
English
Status:
Published / Disseminated
Refereed:
Yes
Related URLs:
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