A DSO Support Framework for Assessment of Future-Readiness of Distribution Systems: Technical, Market, and Policy Perspectives

Srivastava, Ankur; Steen, David; Le, Anh Tuan; Carlson, Ola; Rossi, Joni; Berlioz, Sylvain; Nyugen, Phuong H.; Babar, Muhammad; Roos, M.H.; Forsgren, Henrik; Tran, Quoctuan; Guemri, Mouloud

doi:10.34890/832

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Modeling Of System Components1

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2023

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“…In this analysis, MHP is designed as linearized power output between the minimum and maximum power output for a specific level of operational setpoints. Equation (7) gives the linearized output of the power output from MHP.…”

Section: Modeling Of System Componentsmentioning

confidence: 99%

Real-Time Price-Based Optimal Energy Mix in Smart Distribution Network

Wagle¹,

Sharma²,

Sharma³

et al. 2023

Lecture Notes in Electrical Engineering

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With the increasing penetration of Distributed Energy Resources (DERs) in Smart Distribution Networks (SDNs), balancing energy mix is a crucial task for Distribution System Operators. The aggregate consumption, generation, and power exchanged from the upstream network are essential for the Energy Management System. Appropriate allocation and scheduling of DERs and Energy Storage can minimize the total power drawn from the upstream network. This paper analyzes the Real-Time Price (RTP) based approach for optimizing the scheduling of DERs and power transfer from the upstream network. The Mixed Integer Linear Programming (MILP) based optimization approach is used to maximize the total profit made by maintaining optimal energy mix in SDNs by using the Energy from DER and Energy Storage. When upstream network's tariff is higher, the energy balance is maintained by DERs and ESSs as far as possible. It is also observed that with the reduction in the energy pricefrom DERs, power export from the SDN to the upstream network is increased.

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Section: Modeling Of System Componentsmentioning

confidence: 99%