Introduction

The integration of renewable energy sources into the power system has become a major focus in recent years due to the increasing concerns about environmental sustainability and the need to reduce carbon emissions. Renewable energy sources, such as wind and solar power, are intermittent and variable in nature, which poses challenges for the economic dispatch of power systems. Economic dispatch is the process of determining the optimal output levels of power generators in order to meet the demand for electricity at minimum cost, while satisfying all operating constraints.

Background of Study

The economic dispatch problem has been extensively studied in the context of traditional fossil fuel-based power generation. However, the increasing penetration of renewable energy sources in power systems has introduced new challenges and complexities to the optimization of economic dispatch. The variability and uncertainty of renewable energy sources, along with their non-dispatchable nature, make the economic dispatch problem more challenging and require new optimization techniques to ensure the efficient and reliable operation of power systems.

Problem Statement

The optimization of power system economic dispatch with renewable energy poses a number of challenges, including the need to balance the intermittent nature of renewable energy sources with the demand for electricity, the need to reduce carbon emissions and promote environmental sustainability, and the need to minimize operating costs while maintaining system reliability and stability.

Objective of Study

The main objective of this thesis is to develop and implement optimization techniques for the economic dispatch of power systems with a high penetration of renewable energy sources. The study aims to investigate the impact of renewable energy integration on the economic dispatch problem and to propose new optimization algorithms to address the challenges posed by renewable energy sources.

Limitation of Study

This study will focus on the optimization of economic dispatch with renewable energy sources in power systems. It will not address other aspects of power system operation, such as transmission and distribution planning, or other renewable energy technologies, such as biomass and geothermal power.

Scope of Study

The scope of this study will be limited to the optimization of economic dispatch with wind and solar power generation. The study will focus on developing optimization algorithms to improve the economic dispatch of power systems with a high penetration of wind and solar energy sources.

Significance of Study

The findings of this study will provide valuable insights into the optimization of power system economic dispatch with renewable energy sources. The study will contribute to the development of new optimization techniques for the integration of renewable energy sources into power systems and help to improve the efficiency, reliability, and sustainability of power system operation.

Structure of the Thesis

Chapter 1: Introduction
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Economic Dispatch
2.2 Integration of Renewable Energy Sources
2.3 Challenges of Economic Dispatch with Renewable Energy
2.4 Optimization Techniques for Economic Dispatch
2.5 Previous Studies on Economic Dispatch with Renewable Energy

Chapter 3: System Design and Methodology
3.1 System Architecture
3.2 Data Collection
3.3 Mathematical Formulation of Economic Dispatch Problem
3.4 Optimization Algorithms
3.5 Simulation Setup
3.6 Performance Metrics
3.7 Validation of Results
3.8 Sensitivity Analysis

Chapter 4: System Implementation
4.1 Implementation of Optimization Algorithms
4.2 Integration of Renewable Energy Sources
4.3 Case Study
4.4 Simulation Results
4.5 Comparative Analysis
4.6 Discussion of Results
4.7 Challenges and Limitations
4.8 Future Work

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Contributions of the Study
5.3 Implications for Power System Operation
5.4 Recommendations for Future Research
5.5 Conclusion

Thesis Overview

Optimization of power system economic dispatch with renewable energy sources is a critical research area that has gained significant attention in recent years. This thesis aims to investigate the challenges and complexities associated with the integration of renewable energy sources, such as wind and solar power, into power systems and to develop new optimization techniques to address these challenges.

Chapter 1 provides an introduction to the topic, including the background of the study, problem statement, objective, scope, significance, and structure of the thesis. Chapter 2 presents a comprehensive literature review on economic dispatch, renewable energy integration, challenges of economic dispatch with renewable energy, optimization techniques, and previous studies in this field.

Chapter 3 describes the system design and methodology, including the system architecture, data collection, mathematical formulation of the economic dispatch problem, optimization algorithms, simulation setup, performance metrics, validation of results, and sensitivity analysis. Chapter 4 focuses on the system implementation, including the implementation of optimization algorithms, integration of renewable energy sources, case study, simulation results, comparative analysis, discussion of results, challenges, and future work.

Chapter 5 concludes the thesis with a summary of findings, contributions of the study, implications for power system operation, recommendations for future research, and a final conclusion. This thesis will provide valuable insights into the optimization of power system economic dispatch with renewable energy sources and contribute to the development of more efficient, reliable, and sustainable power systems.

---

Purchase Detail

Download the complete project materials to this project with Abstract, Chapters 1 – 5, References and Appendix (Questionaire, Charts, etc), Click Here to place an order via whatsapp. Got question or enquiry; Click here to chat us up via Whatsapp.
You can also call 08111770269 or +2348059541956 to place an order or use the whatsapp button below to chat us up.
Bank details are stated below.

Bank: UBA
Account No: 1021412898
Account Name: Starnet Innovations Limited

The Blazingprojects Mobile App

Download and install the Blazingprojects Mobile App from Google Play to enjoy over 50,000 project topics and materials from 73 departments, completely offline (no internet needed) with monthly update to topics, click here to install.