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Risk–constrained stochastic economic dispatch and demand response with maximal renewable penetration under renewable obligation
Thesis (PhD (Electrical Engineering))--University of Pretoria, 2020.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2022
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| _version_ | 1867613528048795648 |
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| access_status_str | Open Access |
| author2 | Naidoo, Robin |
| author_browse | Naidoo, Robin |
| author_facet | Naidoo, Robin |
| collection | Thesis |
| dc_rights_str_mv | © 2021 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Thesis (PhD (Electrical Engineering))--University of Pretoria, 2020. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/84811 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:37:34.574Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/84811 Risk–constrained stochastic economic dispatch and demand response with maximal renewable penetration under renewable obligation Naidoo, Robin greg.hlalele@gmail.com Bansal, Ramesh C. Zhang, Jiangfeng Hlalele, Thabo Gregory UCTD Battery energy storage dynamic economic dispatch incentive based demand response programme multi-objective optimisation Pareto optimal solution Thesis (PhD (Electrical Engineering))--University of Pretoria, 2020. In the recent years there has been a great deal of attention on the optimal demand and supply side strategy. The increase in renewable energy sources and the expansion in demand response programmes has shown the need for a robust power system. These changes in power system require the control of the uncertain generation and load at the same time. Therefore, it is important to provide an optimal scheduling strategy that can meet an adequate energy mix under demand response without affecting the system reliability and economic performance. This thesis addresses the following four aspects to these changes. First, a renewable obligation model is proposed to maintain an adequate energy mix in the economic dispatch model while minimising the operational costs of the allocated spinning reserves. This method considers a minimum renewable penetration that must be achieved daily in the energy mix. If the renewable quota is not achieved, the generation companies are penalised by the system operator. The uncertainty of renewable energy sources are modelled using the probability density functions and these functions are used for scheduling output power from these generators. The overall problem is formulated as a security constrained economic dispatch problem. Second, a combined economic and demand response optimisation model under a renewable obligation is presented. Real data from a large-scale demand response programme are used in the model. The model finds an optimal power dispatch strategy which takes advantage of demand response to minimise generation cost and maximise renewable penetration. The optimisation model is applied to a South African large-scale demand response programme in which the system operator can directly control the participation of the electrical water heaters at a substation level. Actual load profile before and after demand reduction are used to assist the system operator in making optimal decisions on whether a substation should participate in the demand response programme. The application of these real demand response data avoids traditional approaches which assume arbitrary controllability of flexible loads. Third, a stochastic multi-objective economic dispatch model is presented under a renewable obligation. This approach minimises the total operating costs of generators and spinning reserves under renewable obligation while maximising renewable penetration. The intermittency nature of the renewable energy sources is modelled using dynamic scenarios and the proposed model shows the effectiveness of the renewable obligation policy framework. Due to the computational complexity of all possible scenarios, a scenario reduction method is applied to reduce the number of scenarios and solve the model. A Pareto optimal solution is presented for a renewable obligation and further decision making is conducted to assess the trade-offs associated with the Pareto front. Four, a combined risk constrained stochastic economic dispatch and demand response model is presented under renewable obligation. An incentive based optimal power dispatch strategy is implemented to minimise generation costs and maximise renewable penetration. In addition, a risk-constrained approach is used to control the financial risks of the generation company under demand response programme. The coordination strategy for the generation companies to dispatch power using thermal generators and renewable energy sources while maintaining an adequate spinning reserve is presented. The proposed model is robust and can achieve significant demand reduction while increasing renewable penetration and decreasing the financial risks for generation companies. Electrical, Electronic and Computer Engineering PhD (Electrical Engineering) Unrestricted 2022-04-06T12:41:02Z 2022-04-06T12:41:02Z 2021 2020 Thesis * A2021 http://hdl.handle.net/2263/84811 en © 2021 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Battery energy storage dynamic economic dispatch incentive based demand response programme multi-objective optimisation Pareto optimal solution Risk–constrained stochastic economic dispatch and demand response with maximal renewable penetration under renewable obligation |
| title | Risk–constrained stochastic economic dispatch and demand response with maximal renewable penetration under renewable obligation |
| title_full | Risk–constrained stochastic economic dispatch and demand response with maximal renewable penetration under renewable obligation |
| title_fullStr | Risk–constrained stochastic economic dispatch and demand response with maximal renewable penetration under renewable obligation |
| title_full_unstemmed | Risk–constrained stochastic economic dispatch and demand response with maximal renewable penetration under renewable obligation |
| title_short | Risk–constrained stochastic economic dispatch and demand response with maximal renewable penetration under renewable obligation |
| title_sort | risk constrained stochastic economic dispatch and demand response with maximal renewable penetration under renewable obligation |
| topic | UCTD Battery energy storage dynamic economic dispatch incentive based demand response programme multi-objective optimisation Pareto optimal solution |
| url | http://hdl.handle.net/2263/84811 |