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622. Optimal Integration of Microgrids in Smart Grids During Cold-Load Pick-Up

Invited abstract in session WD-19: OR in Energy III, stream OR in Energy.

Wednesday, 14:30-16:00
Room: 44 (building: 116)

Authors (first author is the speaker)

1. Levan Pavlenishvili
Director, Operational Research Institute
2. Miguel Anjos
School of Mathematics, University of Edinburgh

Abstract

Renewable energy generation in microgrids can have an important role in the decarbonization of electricity networks. Microgrids can also provide ancillary services to the main grid during different operational circumstances. This paper explores the use of microgrids during cold-load pickup (CLPU) phenomena, which are typical after an outage in distribution networks with high share of thermostatically controlled load (TCL). As load loses diversity after an outage CLPU phenomena is a drastic increase after re-connection. We present a mixed-integer linear programming (MILP) formulation for scheduling service restoration (SR). The proposed model computes the optimal re-connection sequence, generation and storage levels for the microgrids as well as power supply level from the main grid. Unlike existing literature this paper uses a network with multiple microgrids. It also allows for different conditions at the microgrids: with some operating in islanded mode and having diversified load, while others being in outage and having to do service restoration with CLPU. The model is tested on different modifications of the IEEE-13 feeder network. The proposed approach is suitable for practical SR scheduling and to test the CLPU capabilities of a distribution network during the planning process. The model formulation has the flexibility to allow for additional improvements in precision and complexity in estimating its key components.

Keywords

Status: accepted

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