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Developing a New Framework for Expansion Planning Studies of Active Distribution Networks Based on Optimal Management of Energy Resources

Kabirifar, Milad | 2022

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 55955 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fotuhi Firuzabad, Mahmud; Moeini-Aghtaie, Moein
  7. Abstract:
  8. Expansion planning of distribution network assets is of importance to reliably supply the growing demand. Growing penetration of distributed energy resources (DERs) including renewable based distributed generators (DGs), conventional DGs, energy storage systems, and demand response (DR) resources in the network as well as their operational advantages make it necessary to address the investment planning of these resources in addition to the network assets. In order to effectively utilize the DERs and to solve the challenges arisen by their increasing penetration, active distribution networks (ADNs) are introduced which offer active network management capability. Passing through traditional distribution networks to ADNs and executing restructuring policies leads to difference in planning of restructured ADN from that in the traditional distribution networks. Different stakeholders including distribution system operator (DSO), distributed generator owners (DGOs), and load aggregators (LAs) paly role in ADNs and it is required to address their goals and techno-economic constraints in the planning problem. Moreover, in order to optimally utilize the DERs and to attain an effective expansion plan in presence of intensified uncertainties the active distribution network management (ADNM) should be incorporated in the planning problem. The agents are interrelated in local energy market and ADNM should be addressed through clearing the local energy market. In this thesis a comprehensive model for multistage expansion planning of restructured active distribution networks is presented in which different stakeholders and ADNM through clearing the local energy market are addressed. In the proposed model the goals and techno-economic constraints of participating agents are addressed in the planning and ADNM problems. The agents include DGOs and LAs which participate along with the DSO in the active distribution network planning and ADNM. In the proposed model, the ADNM is addressed through clearing the local energy market. In this regard, DSO clears the local energy market based on distribution locational marginal pricing as a reference signal. The uncertainties in demand and generation of DERs as well as in the investment budget of agents are addressed using stochastic programming and adaptive robust optimization approaches. On the other hand, in order to supply the growing load with an appropriate reliability level, the reliability evaluation of the network is addressed in the planning problem by considering the island operation of the network and uncertainties in agents’ resources. In the proposed model, DSO addresses the expansion of network assets (including feeder), optimal network configuration and power transactions with agents and wholesale market and network reliability evaluation (in an integrated manner). Other agents address the optimal planning and operation of their resources. In order to attain the optimal solution, the mathematical linearization techniques and duality theory are employed and the model is solved using efficient mathematical programming based approaches. Simulation results approve the performance and scalability of the proposed model
  9. Keywords:
  10. Active Distribution Networks ; Agents ; Distributed Energy Resorurces (DER) ; Expansion Planning ; Reliability ; Uncertainty ; Active Network Management ; Electricity Distribution Network

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