Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/20236
Title: Towards a Sustainable Microgrid on Alderney Island Using a Python-based Energy Planning Tool
Authors: Dehghan, Shahab 
Nakiganda, Agnes 
Lancaster, James 
Aristidou, Petros 
Major Field of Science: Engineering and Technology
Keywords: Sustainable Microgrid Planning;Uncertainty;Open-Source Tool;Battery Storage
Issue Date: Oct-2020
Source: 2020 MEDPOWER
Conference: 2020 MEDPOWER 
Abstract: In remote or islanded communities, the use of microgrids (MGs) is necessary to ensure electrification and resilience of supply. However, even in small-scale systems, it is computationally and mathematically challenging to design low-cost, optimal, sustainable solutions taking into consideration all the uncertainties of load demands and power generations from renewable energy sources (RESs). This paper uses the open-source Python-based Energy Planning (PyEPLAN) tool, developed for the design of sustainable MGs in remote areas, on the Alderney island, the 3rd largest of the Channel Islands with a population of about 2000 people. A two-stage stochastic model is used to optimally invest in battery storage, solar power, and wind power units. Moreover, the AC power flow equations are modelled by a linearised version of the DistFlow model in PyEPLAN, where the investment variables are here-and-now decisions and not a function of uncertain parameters while the operation variables are wait-and-see decisions and a function of uncertain parameters. The k-means clustering technique is used to generate a set of best (risk-seeker), nominal (risk-neutral), and worst (risk-averse) scenarios capturing the uncertainty spectrum using the yearly historical patterns of load demands and solar/wind power generations. The proposed investment planning tool is a mixed-integer linear programming (MILP) model and is coded with Pyomo in PyEPLAN.
URI: https://hdl.handle.net/20.500.14279/20236
Type: Conference Papers
Affiliation : Cyprus University of Technology 
Leeds University 
Alderney Electricity Ltd 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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