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Development of methodology and test platform for local energy system analysis and optimal operation
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Guo, Songshan (2021) Development of methodology and test platform for local energy system analysis and optimal operation. PhD thesis, University of Warwick.
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Official URL: http://webcat.warwick.ac.uk/record=b3719109
Abstract
In 2018, UK achieved 33% of its power generation from renewable energy (not including nuclear) and the wind power generation reached 38% on 9th Dec 2019. However, transportation and heating sectors almost remain unchanged compared with 20 years ago. Therefore, to achieve the UK government goal of “net zero emission by 2050”, the three coupled energy sectors of electrical power, transportation and heating must be examined in an integrated systemic way. The challenges of systemically evaluating the local energy system includes the modelling and simulation of coupled energy sectors, the plan and optimization of combined energy system and the innovative power trading mechanism. To address these challenges, this thesis focuses on analysis and optimisation of local energy system and its cooperation with heat supply and local power generation. The main contributions of the thesis are summarized as follows.
The work starts from development of a co-simulation system for local energy systems by combining the Internet-of-Things (IoT) and Hardware-in-the-Loop (HIL) techniques. This provides a platform to test and verify various methods and analysis. The platform takes the advantages of the capability HIL to be able to conduct mixed mathematical and physical modelling study. With the support of IoT system, the simulation/test platform can bring massive real-operation data to the model which extended the power of the test platform.
Using the campus energy system data, scheduling optimisation of Combined Heat and Power (CHP) based local energy system is conducted which is to reduce the energy cost while the system is subject to energy demand and supply uncertainties. A combined scenario generation method is proposed to enable Probability Density Function (PDF) was handled and discretized conveniently. A scheduling multi-objective linear programming problem is formulated with the consideration of practical constraints to minimize the energy cost by avoiding importing electricity from grid at the high tariff period and the optimisation of CHP plant operation can reduce natural gas consumption which is achieved with adding electrical energy storage to the system.
Techno-economic analysis is conducted to explore whether it is economic and technical viable to have solar PV integration with the existing CHP power supply and vii what the optimal capacity is for a system with the known CHP power generation capacity. The study also investigates how the solar integration impact on the existing power distribution network. The work has its significance to LES planning, design and management. The study will use Warwick University campus energy system data acquired from data server of co-simulation system for analysis and strategy development.
A P2P electricity trading mechanism with hierarchical P2P architecture is proposed with the aim to enhance revenue of prosumers by applying a game theory in pricing competition. This trading mechanism is to motivate prosumers to actively take part in the proposed architecture of trading. Finally, a few cases studies are used to verify the proposed electricity trading mechanism.
Item Type: | Thesis (PhD) | ||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||
Library of Congress Subject Headings (LCSH): | Electric power systems, Electric power distribution, Electric power production, Internet of things, Hardware-in-the-loop simulation, Cogeneration of electric power and heat, Power resources -- Costs | ||||
Official Date: | June 2021 | ||||
Dates: |
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Institution: | University of Warwick | ||||
Theses Department: | School of Engineering | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Wang, Jihong, Ph. D. | ||||
Format of File: | |||||
Extent: | xiv, 186 leaves : illustrations | ||||
Language: | eng |
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