Abstract
This chapter introduces a stochastic multi-period transmission expansion planning (SMTEP) model that considers the power system’s uncertainties and reliability constraints. Renewable generation sources (RGSs) are widely used in power systems. RGSs have a stochastic behavior that menaces the power system’s reliability and may result in partial or complete blackouts. The inclusion of N-1 security in SMTEP is also essential to ensure the continuity of electricity supply to loads under the worst conditions. The problem is formulated as a mixed-integer non-linear optimization problem. The whale optimization algorithm (WOA) is applied to solve the SMTEP problem. A reduction technique and an acceleration scheme are incorporated with the WOA to accelerate the convergence to the optimal solution and decrease computation time. The results of testing the WOA on a benchmark system and a realistic network show its efficiency and superiority, compared to other well-established algorithms, in terms of convergence time and quality of solutions. Further, case studies demonstrate the effectiveness of the suggested model in improving the power system’s reliability.
| Original language | English |
|---|---|
| Title of host publication | Modernization of Electric Power Systems |
| Subtitle of host publication | Energy Efficiency and Power Quality |
| Publisher | Springer International Publishing |
| Pages | 377-406 |
| Number of pages | 30 |
| ISBN (Electronic) | 9783031189968 |
| ISBN (Print) | 9783031189951 |
| DOIs | |
| State | Published - 1 Jan 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Mixed-integer non-linear optimization problem
- N-1 security
- Power system’s uncertainties
- Renewable generation sources
- Stochastic multi-period transmission expansion planning
- The whale optimization algorithm
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