Valinejad, Jaber, Marzband, Mousa, Akorede, Mudathir, Elliott, Ian D., Godina, Radu, Matias, João Carlos de Oliveira and Pouresmaeil, Edris (2018) Long-Term Decision on Wind Investment with Considering Different Load Ranges of Power Plant for Sustainable Electricity Energy Market. Sustainability, 10 (10). ISSN 2071-1050
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Abstract
The aim of this paper is to provide a bi-level model for the expansion planning on wind investment while considering different load ranges of power plants in power systems at a multi-stage horizon. Different technologies include base load units, such as thermal and water units, and peak load units such as gas turbine. In this model, subsidies are considered as a means to encourage investment in wind turbines. In order that the uncertainties related to demand and the wind turbine can be taken into consideration, these effects are modelled using a variety of scenarios. In addition, the load demand is characterized by a certain number of demand blocks. The first-level relates to the issue of investment in different load ranges of power plants with a view to maximizing the investment profit whilst the second level is related to the market-clearing where the priority is to maximize the social welfare benefits. The bi-level optimization problem is then converted to a dynamic stochastic mathematical algorithm with equilibrium constraint (MPEC) and represented as a mixed integer linear program (MILP) after linearization. The proposed framework is examined on a real transmission network. Simulation results confirm that the proposed framework can be a useful tool for analyzing the investments different load ranges of power plants on long-term strategic decision-making.
Item Type: | Article |
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Uncontrolled Keywords: | capacity investment; market power; wind resources; dynamic planning; stochastic approach |
Subjects: | H800 Chemical, Process and Energy Engineering |
Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
Depositing User: | Paul Burns |
Date Deposited: | 22 Oct 2018 12:26 |
Last Modified: | 01 Aug 2021 12:50 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/36384 |
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