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AdvisorMassoud, Ahmed
AdvisorShaban, Khaled Bashir
AuthorZamzam, Tassneem Ahmed
Available date2021-07-27T09:35:33Z
Publication Date2021-06
URIhttp://hdl.handle.net/10576/21598
AbstractThe high penetration of distributed energy resources (DERs) introduces several challenges to the power network. They may cause a high level of voltage variation, sudden over/under-power generation, high power losses, and negatively impacteddistribution assets. Thus, there is a vital need for volt/var optimization (VVO) schemes that integrate utility-owned assets with inverter-interfaced resources to overcome these challenges. This thesis addresses the above-mentioned challenges by proposing a comprehensive two-timescale multi-objective VVO algorithm. The slow timescaleutilizes utility-owned assets to minimize system losses and maximize asset lifetime ina three-step methodology. This stage incorporates the utility operator's direct input for setting the utility-owned assets. At the faster scale, the algorithm optimizes the reactive power of DERs to minimize voltage variations and system losses. The proposed VVO is solved using conventional optimization and reinforcement learning algorithms. The IEEE 33-bus system is modified and used to demonstrate the effectiveness of the proposed algorithms
Languageen
SubjectTwo-Timescale Multi-Objective
Volt/Var
Distributed Energy Resources
Active Distribution Networks
TitleTwo-Timescale Multi-Objective Volt/Var Optimization Considering Distributed Energy Resources In Active Distribution Networks
TypeMaster Thesis
DepartmentElectrical Engineering
dc.accessType Open Access


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