- Title
- The electricity market operation and planning framework with renewable energy integration
- Creator
- Hejeejo, Rashid
- Resource Type
- thesis
- Date
- 2019
- Description
- Professional Doctorate - Doctor of Philosophy (PhD)
- Description
- The increases in renewable current sources, prosumers and decentralised control generation in centralised grids has increased the fluctuations in electricity costs, increased the bi-direction power flow problems and changed the operation and investment of the centralised grid. These new constraints have to be observed to manage the design of the market, the new management near the load and the new operators for the power system. In addition, Microgrids (MGs) and their enabling technologies (e.g., small-scale renewable energy generation, energy storage systems (ESSs), demand response and information and communication systems) have attracted increasing attention in the past few years as they are expected to play an important role in future sustainable energy systems. There are many techniques in how to plan and manage energy systems with developing new management techniques. The expansion planning design problem is formulated as a multi-objective optimisation problem with a range of technical constraints, such as reliability and power quality constraints, as well as including variable and fixed costs. In this thesis, an energy system expansion planning model is used to investigate the quantitative impacts of local management systems on energy system sustainability. Moreover, this thesis proposes a stochastic framework for the centralised grid with a market-based, decentralised management, bi-directional power flow of mixed generators of electrical energy. A decentralised and bi-directional market-based management system model (DBMBMS) is developed which considers the operation costs, security and reliability of the centralised grid, the spot market price, weather changes and the fluctuations in the load. A differential evolution technique with a Monte Carlo program (MCP) is used in aggregation with bi-directional power flows to find the optimal solutions, depending on the uncertainties of the centralised grid. Using a DBMBMS model, optimal load and price management are then realised, based on the decision-maker’s choices. The impacts of this new management system on the reduction of the total electricity prices of the different power sources are analysed and illustrated with practical case studies. The results confirm that local managements can significantly improve a system’s efficiency. However, this efficiency improvement is influenced by factors such as the ratio of the MG participation, the network topology and other specific power system constraints.
- Subject
- power generation planning; power system management; energy management systems; distributed power generation; power grids; power markets; sustainable development
- Identifier
- http://hdl.handle.net/1959.13/1407542
- Identifier
- uon:35740
- Rights
- Copyright 2019 Rashid Hejeejo
- Language
- eng
- Full Text
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT01 | Thesis | 2 MB | Adobe Acrobat PDF | View Details Download | ||
| View Details Download | ATTACHMENT02 | Abstract | 440 KB | Adobe Acrobat PDF | View Details Download |