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GRid-Connected Advanced Power Electronic Systems NSF Center for GRid-connected Advanced Power Electronic Systems (GRAPES) GR-17-14 Decentralized Energy Management and Robust Decisions for Networked Microgrids in Next-Generation Distribution


  1. GRid-Connected Advanced Power Electronic Systems NSF Center for GRid-connected Advanced Power Electronic Systems (GRAPES) GR-17-14 Decentralized Energy Management and Robust Decisions for Networked Microgrids in Next-Generation Distribution Systems Dr. Lingfeng Wang, UW-Milwaukee Semi-Annual Meeting May 23-24, 2017 Confidential – Semi-Annual Meeting May 2017

  2. Project Overview 2 GRid-Connected Advanced Power Electronic Systems  Anticipated Project Dates: 7/1/2017-6/30/2018  PI Name: Dr. Lingfeng Wang, Associate Professor, University of Wisconsin-Milwaukee  Overall Project Budget: $62,753.95 Confidential – Semi-Annual Meeting May 2017

  3. Motivation of the Proposed Work 3 GRid-Connected Advanced Power Electronic Systems  An increasing amount of distributed energy resources (DERs) is being integrated into both distribution systems (DS) and networked microgrids (MGs).  The coordination among DS and MGs becomes essential for DS operators (DSOs) and MG operators (MGOs) considering the high uncertainties of renewable energies and load demands. DS HV system MG1 MG2 MG3 Confidential – Semi-Annual Meeting May 2017

  4. Decisions of DSO and MGs, and Their Interactions 4 GRid-Connected Advanced Power Electronic Systems  Different entities (DS or MGs) demand a robust strategy to avoid the risk from uncertainties of renewables and loads.  The robust decisions may include the HV power (selling or buying), ESS charging/discharging power, CL regulation, MTG generation, and power exchange. Confidential – Semi-Annual Meeting May 2017

  5. 5 Preliminary Problem Formulation (partial) GRid-Connected Advanced Power Electronic Systems Confidential – Semi-Annual Meeting May 2017

  6. Project Objectives 6 GRid-Connected Advanced Power Electronic Systems  In this project, a novel, decentralized energy management framework will be developed to coordinate the power exchange between DS and MGs in a fully decentralized fashion based on the alternating direction method of multipliers (ADMM) algorithm.  The energy management model in each entity (DS or MGs) is formulated using two-stage robust optimization to address the uncertainties of renewables and load demands.  It is treated as a second order cone programming (SOCP) problem based on a relaxed distflow model, and the robust model is solved by column and constraint generation (CCG) algorithm.  The proposed method will be tested on a number of IEEE test systems and practical systems with multiple interconnected MGs. Confidential – Semi-Annual Meeting May 2017

  7. Novelty of the Proposed Work 7 GRid-Connected Advanced Power Electronic Systems  The main contributions and innovations of this proposed project are twofold: • The dispatchable DG (MTG), controllable load (CL), intermittent energy resources (WTG and PV), and ESS are comprehensively and simultaneously considered in the proposed decentralized energy management strategy. • An efficient two-stage robust optimization framework is deployed to hedge against the uncertainties, which are represented by uncertainty sets rather than scenarios as in the existing literature. Confidential – Semi-Annual Meeting May 2017

  8. Expected Deliverables 8 GRid-Connected Advanced Power Electronic Systems  A novel, decentralized energy management strategy for coordinating the interactions among DS and MGs and hedging against uncertainties.  Detailed documentation on all the system models, solution methodologies, and research outcomes.  Case studies on IEEE test systems and practical systems.  Publications in top journals and conferences.  At least one graduate student and one undergraduate student will be involved in this project. Confidential – Semi-Annual Meeting May 2017

  9. Broader Impact of the Project 9 GRid-Connected Advanced Power Electronic Systems  The coordinated energy management of networked MGs and DS is highly essential to DS and MGs, and the robust model could improve the economic efficiency of the whole distribution system.  The agreement between DS and MGs can be reached in a finite number of iterations by ADMM integrated with CCG algorithm.  If successful, this work will be highly beneficial to more effectively coordinating interconnected microgrids and distribution grids to enable higher renewable energy integration as well as more reliable and more economical power system operations.  We will also perform comprehensive case studies for practical electric power systems provided by the GRAPES IAB – Detailed technical report could be prepared for each interested IAB member.  The research outcomes will be integrated into educational curricula and outreach activities. Confidential – Semi-Annual Meeting May 2017

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