Optimal operation and bilateral energy trading between local micro-grid and electrical distribution network in the presence of energy storage considering peer-to-peer energy trading between micro-grids

Optimal operation and bilateral energy trading between local micro-grid and electrical distribution network in the presence of energy storage considering peer-to-peer energy trading between micro-grids


Optimal operation and bilateral energy trading between local micro-grid and electrical distribution network in the presence of energy storage considering peer-to-peer energy trading between micro-grids

نوع: Type: thesis

مقطع: Segment: masters

عنوان: Title: Optimal operation and bilateral energy trading between local micro-grid and electrical distribution network in the presence of energy storage considering peer-to-peer energy trading between micro-grids

ارائه دهنده: Provider: Mostafa Kazemi Mostaghim

اساتید راهنما: Supervisors: Mohammad Mehdi Shahbazi (PhD)

اساتید مشاور: Advisory Professors:

اساتید ممتحن یا داور: Examining professors or referees: alireza hatami(phd) & saleh razini (phd)

زمان و تاریخ ارائه: Time and date of presentation: 2october 2022

مکان ارائه: Place of presentation: calss 2

چکیده: Abstract: Increasing advances in distributed energy resources (DER) and increasing demand in distribution networks have led operators to adopt optimal management practices in order to use the equipment to meet the demand as safely as possible. Such management can facilitate energy security and minimize carbon emissions as well as economic costs. However, in most existing mechanisms, methods of generating and delivering electrical power in power systems are still concentrated. Proposing and developing a sensible and efficient decentralized economic mechanism is an important issue in distribution systems. The economic relationship between entities and parts of a distribution network that can take the form of microgrids needs to be thoroughly studied. This issue can be comprehensively analyzed in the form of examining the impact of transactions between the distribution network and the microgrids connected to it. Peer-to-peer energy (P2P) trading is an innovative approach to managing the growing number of distributed energy resources in microgrids or local energy systems. In P2P energy trading, buyers and consumers trade and exchange power and energy directly with each other. Therefore, in this dissertation, first, the amount of power generation in microgrids that can be related to solar panels in the region is estimated and studied. Then an energy reservoir is considered next to these products to increase economic productivity. Finally, direct trade between microgrids is studied to investigate the effects of such a mechanism. For this purpose, a mathematical model is extracted which finally uses the training-based optimization algorithm (TLBO), which is an evolutionary algorithm based on the initial population, the benefit of the two-way exchange rate between the microgrids and the upstream network for Microgrades are maximized. This mathematical model makes decisions about 24-hour time periods (day ahead operation) in the form of an optimization problem and minimizes (or maximizes profits) the costs incurred from performing the operation process. MATLAB software has been used to implement the proposed problem. The results show that the effective relationship between microgrids and two-way energy exchange in the presence of reservoirs can have significant economic results

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