Reliability-based generation resource planning in electricity markets
| Autor: | Maziar Mirhosseini Moghaddam, Mohammad Hossein Javidi, Majid Oloomi Buygi, Mohsen Parsa Moghaddam |
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| Jazyk: | turečtina |
| Rok vydání: | 2015 |
| Předmět: |
Iterative and incremental development
General Computer Science Operations research business.industry Computer science media_common.quotation_subject Payment Electric power transmission Incentive Order (exchange) Electricity Electrical and Electronic Engineering business Competitive electricity market generation resource planning mixed integer programming Monte Carlo simulation random outages and uncertainty system reliability Integer programming Simulation Reliability (statistics) media_common |
| Zdroj: | Volume: 22, Issue: 4 909-923 Turkish Journal of Electrical Engineering and Computer Science |
| ISSN: | 1300-0632 1303-6203 |
| Popis: | This paper proposes a reliability-based competitive generation resource planning model in electricity markets. The Monte Carlo simulation method is applied to consider random outages of generation units and transmission lines as well as load uncertainty. In order to determine the optimal plan for installation of candidate generating units, the decisions of generation companies (GenCos) and the independent system operators (ISOs) are investigated. The method is based on an iterative process for simulating interactivity among ISOs and GenCos and is repeated until security and reliability constraints assumed by the ISO are fulfilled. In the proposed model, the ISO utilizes a new mechanism for capacity payments such that each GenCo will receive its incentive credits based on its role in improvement of system reliability. In other words, GenCos play indirect roles in system reliability enhancement. Simulation results confirm efficacy of the proposed generation expansion planning model when considering uncertainties in electricity markets. |
| Databáze: | OpenAIRE |
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