Abstract
This paper presents a probabilistic model for optimal economic load dispatch problem to address integration of renewable energy resources into conventional power system network grid. The power generated from the solar photovoltaic (PV) array unit and load demand are recognised as random variables with given probability distribution functions. The economic load dispatch objective function is converted into an equivalent deterministic model. An iterative procedure is used to select the input values of load demand and solar PV power generation from their respective probability distribution functions. Quadratic programming technique is applied to solve the transformed deterministic model. The proposed methodology yields the probability distributions of each power generation unit cost and its respective amount of power generation. A case study is used to illustrate the applicability of the proposed methodology. Results show that the proposed approach can provide more power system management information to the power system operators and/or planners and therefore enable better decision making.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE AFRICON |
| Subtitle of host publication | Science, Technology and Innovation for Africa, AFRICON 2017 |
| Editors | Darryn R. Cornish |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1277-1282 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538627754 |
| DOIs | |
| Publication status | Published - 3 Nov 2017 |
| Event | IEEE AFRICON 2017 - Cape Town, South Africa Duration: 18 Sept 2017 → 20 Sept 2017 |
Publication series
| Name | 2017 IEEE AFRICON: Science, Technology and Innovation for Africa, AFRICON 2017 |
|---|
Conference
| Conference | IEEE AFRICON 2017 |
|---|---|
| Country/Territory | South Africa |
| City | Cape Town |
| Period | 18/09/17 → 20/09/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Load demand
- Probability distribution function
- Solar photovoltaic
- Stochastic optimization
ASJC Scopus subject areas
- Human-Computer Interaction
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
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