Smart Grid Mgmt

Smart Grid Mgmt

• 1.
  Smart Management for theSmart Grid A. Kazakov January 2018 𝑭 𝑿 → 𝒎𝒊𝒏 𝑹 𝑿 ≥ 𝟎
• 2.
  Unified energy system(UES) 𝐺 = 𝑁, 𝐸 𝑁 − 𝑁𝑜𝑑𝑒𝑠 𝐸 − 𝐿𝑖𝑛𝑒𝑠 Smart Management for the Smart Grid 2
• 3.
  Notation UES 𝐺 =𝑁, 𝐸 − 𝐺𝑟𝑎𝑝ℎ 𝑁 = 𝑛𝑖 − 𝑁𝑜𝑑𝑒𝑠 𝐸 = 𝑒𝑖𝑗 − 𝐿𝑖𝑛𝑒𝑠 𝑒𝑖𝑗= (𝑛𝑖, 𝑛𝑗) 𝑁 = 𝑁𝑆 ∪ 𝑁 𝑇 ∪ 𝑁 𝐷 𝑁𝑆 − 𝐺𝑒𝑛𝑒𝑟𝑎𝑡𝑖𝑜𝑛 𝑁 𝑇 − 𝑇𝑟𝑎𝑛𝑠𝑚𝑖𝑠𝑠𝑖𝑜𝑛 𝑁 𝐷 − Distribution 𝑆 𝑁𝑆, 𝑡 − 𝑆𝑢𝑝𝑝𝑙𝑦 𝐷 𝑁 𝐷𝑠, 𝑡 − 𝐷𝑒𝑚𝑎𝑛𝑑 𝑡 = 𝑡𝑖 − 𝑇𝑖𝑚𝑒 𝑡𝑖+1 − 𝑡𝑖 = 30 𝑚𝑖𝑛 Supply Chain Management (SCM) Supply Transpor- tation Demand Smart Management for the Smart Grid 3
• 4.
  Logistics network G 𝑭𝑿 → 𝒎𝒊𝒏 𝑹 𝑿 ≥ 𝟎 Smart Management for the Smart Grid 4
• 5.
  The theoretical basisfor SCM solutions • Pointing theorem • Le Chatelier's Principle • The Principle of Least Action by Feynman • The development of the variation method for solving utility tasks • Mathematical Methods of Operations Research Innovation (Т) Theoretical Physics Applied Mathematics Smart Management for the Smart Grid 5
• 6.
  Options SCM forUES Ultimate Consumers Distribution RetailTransmission Generation & Trade Consumption Ultimate Consumers Distribution RetailTransmission Generation & Trade Consumption Value Distributed Energy Resources – DER (Local generation, storage, electric vehicles) The Legacy Chain of Production, Transmission and Consumption of electricity The Target Chain of Production, Transmission and Consumption of electricity Information Exchange Platforms Information Devices Information Services Energy Stream Information Stream Smart Management for the Smart Grid 6
• 7.
  The digital economyin a Smart Grid • Generation, Transmission and Consumption of electricity: plan & accounting • Energy Stream: management & control • Collection, Distribution and Use of information: the model forecast & consolidation • Information Stream: management & control Real Production Digital Power Innovation (E) Smart Management for the Smart Grid 7
• 8.
  Key Technologies forthe Project • MLP - mixed linear programming • LR - Linear Regression • BM - Benchmarking • BI - Business intelligence • MDM - Master data management • BC - Block chain Mathematical Methods in Economics Information Technologies Smart Management for the Smart Grid 8
• 9.
  Key Projects Portfolio Materialand cost balances energy stream for each node of the Grid Parametric calculation of energy stream (for model SCM) Planning and forecasting of demands and supplies Assembling and rating of parameters of adaptive models UES Unified target ICT architecture Formalization and automation of information legacy exchanges based on a common (ontological model) MDM MLP BI, MLP BI, LR BI, LR, BM MDM, BC Smart Management for the Smart Grid 9
• 10.
  Optimization Models forSCM is the core to Project Future planning Strategic Long-term Medium- term Short- term Tactical planning Scheduling Dispatch T t New Grid Assets Existing Grid Assets Smart Management for the Smart Grid 10
• 11.
  Created new opportunities •Optimal operational management of electric grid: full, partial • Model the formation of material Balances of stream 𝐁(𝐗, 𝐍, 𝐭) for all nodes of the network: replenishment of missing data, detection and elimination of inconsistencies • Automated making of consolidated material and cost balances • Stream forecasting for different time horizons: strategic, tactical, operational-production • The possibility of clustering and/or consolidation of the network in forecasting: by owners or according to production criteria • OPEX estimation in the Asset management of the electric grid: use and/or preservation of existing assets, creation of new assets Creating value Smart Management for the Smart Grid 11
• 12.
  The target Referencearchitecture model IEC Recommendation SGAM – Smart Grid Architecture Model IEC 62559-4/TR/Ed1 2016-05-13 https://www.en-trust.at/NISTIR/ Smart Management for the Smart Grid 12
• 13.
  Thank you forYour attention! Smart Management for the Smart Grid 13