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Transactive Coordination Approach for Energy Management in Microgrids (MGs)

Saber, Hossein | 2022

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 55421 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Ehsan, Mehdi; Moeini Aghtaei, Moein
  7. Abstract:
  8. Nowadays, due to the rapid growth of electric energy consumption at the distribution network level and the environmental problems caused by conventional generation units, it has become necessary to provide appropriate solutions to increase the penetration of renewable energy sources and optimally manage the consumers/prosumers at the demand side of power systems. In recent years, various methods have been proposed for demand-side energy management models and distributed energy resources (DERs) integration into the distribution network. Amongst them, the transactive coordination approach that employs the economic and control mechanisms for the management of DERs and responsive loads has been taken into consideration. In this approach, DERs and responsive loads independently participate in an intelligent market platform to trade energy considering the preferences of customers.In this regard, this thesis firstly explains three proposed market models for transactive energy management in the distribution system. These models include the peer-to-peer model, the prosumer grid integration model, the and prosumer community group model. Then, appropriate transactive coordination models are proposed to manage the consumption/production of smart homes considering the households’ preferences including economic, comfort, and privacy-preserving. According to the proposed transactive coordination models, firstly, the home energy management systems (HEMSs) estimate the bid/offer price and quantity of plug-in electric vehicles (PEVs) and bid price and quantity of heating, ventilation, and air conditioning (HVAC) systems using user-friendly algorithms. Then, using different market clearing mechanisms (distributed, centralized, and hierarchical), the market clearing price and the real-time operation of these small-scale DERs are determined.In the proposed distributed transactive coordination framework, the market clearing optimization problem is decomposed into one master problem and several subproblems to significantly mitigate the computational burden of the main optimization problem. Also, in this model, the households’ preferences including econimc, comfort, and privacy-preserving are fully satisfied. In the proposed centralized transactive coordination model, the market clearing problem is solved by the retail market operator taking into account the technical constraints of distribution networks. And finally, in the proposed hierarchical transactive coordination model, besides the satisfaction of households’ preferences, the technical constraints associated with the voltage magnitude of transactive nodes, power flow in distribution feeders, and voltage unbalance are considered. The numerical results of the proposed transactive coordination models illustrate their effectiveness and applicability, particularly for the coordination of a huge number of smart homes.In the following, considering the impact of uncertainties on transactive market operation, a transactive charging control scheme for PEVs is proposed to manage the energy of a residential building with parking lots considering the uncertainties of demand and solar power generation. In this model, the EV owners offer the charging flexibility of EV batteries to the building energy management system (BEMS) by means of submitting their response curves. Then, considering the received response curves, the BEMS solves a model predictive control (MPC)-based optimization problem and determines the real-time clearing price and charge/discharge decisions of EV batteries. Finally, this model is applied to a case study with 50 charging piles, and the numerical results show that the proposed transactive charging control model not only decreases the charging cost of EVs and the total cost of the residential building but also decreases the deviation of BEMS’s actual real-time net electricity from the pre-scheduled energy plan.
  9. Keywords:
  10. Home Energy Management System ; Real Time Operation ; Transactive Energy ; Electric Vehicle Charger ; Thermostatically Controlled Loads ; Electric Vehicle Charging Control ; Transactive Coordination

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