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 |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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manuscript.pdf | 1.12 MB | Adobe PDF | View/Open |
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