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

Julius Azasoo, Eric Kuada, Kwame Osei Boateng, Michael Opoku Agyeman

Research output: Contribution to conference typesPaper

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.
Original languageEnglish
Publication statusPublished - 27 Jun 2017
EventInstitute of Electrical and Electronics Engineers (IEEE) Power and Energy Society (PES) PowerAfrica Conference 2017 - Accra, Ghana
Duration: 27 Jun 2017 → …
http://sites.ieee.org/powerafrica/

Conference

ConferenceInstitute of Electrical and Electronics Engineers (IEEE) Power and Energy Society (PES) PowerAfrica Conference 2017
Period27/06/17 → …
Internet address

Fingerprint

Electric power transmission networks
Electricity
Smart meters
Experiments

Keywords

  • Micro-load management
  • algorithm
  • automatic load shedding
  • average history consumption
  • distribution network
  • smart metering

Cite this

Azasoo, J., Kuada, E., Osei Boateng, K., & Opoku Agyeman, M. (2017). An algorithm for micro-load shedding in generation constrained electricity transmission network. Paper presented at Institute of Electrical and Electronics Engineers (IEEE) Power and Energy Society (PES) PowerAfrica Conference 2017, .
Azasoo, Julius ; Kuada, Eric ; Osei Boateng, Kwame ; Opoku Agyeman, Michael. / An algorithm for micro-load shedding in generation constrained electricity transmission network. Paper presented at Institute of Electrical and Electronics Engineers (IEEE) Power and Energy Society (PES) PowerAfrica Conference 2017, .
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Azasoo, J, Kuada, E, Osei Boateng, K & Opoku Agyeman, M 2017, 'An algorithm for micro-load shedding in generation constrained electricity transmission network' Paper presented at Institute of Electrical and Electronics Engineers (IEEE) Power and Energy Society (PES) PowerAfrica Conference 2017, 27/06/17, .

An algorithm for micro-load shedding in generation constrained electricity transmission network. / Azasoo, Julius; Kuada, Eric; Osei Boateng, Kwame; Opoku Agyeman, Michael.

2017. Paper presented at Institute of Electrical and Electronics Engineers (IEEE) Power and Energy Society (PES) PowerAfrica Conference 2017, .

Research output: Contribution to conference typesPaper

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T1 - An algorithm for micro-load shedding in generation constrained electricity transmission network

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AU - Kuada, Eric

AU - Osei Boateng, Kwame

AU - Opoku Agyeman, Michael

PY - 2017/6/27

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N2 - 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.

AB - 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.

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KW - algorithm

KW - automatic load shedding

KW - average history consumption

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