Environmentally-Constrained Reliability-Based Generation Maintenance Scheduling Considering Demand-Side Management

Mojgan Mollahassani-pour, Masoud Rashidinejad, Mahdi Pourakbari Kasmaei

Research output: Contribution to journalArticleScientificpeer-review

16 Citations (Scopus)
220 Downloads (Pure)


This paper scrutinizes the impacts of demand-side resources (DSRs) on the power system reliability via a novel multi-target generation maintenance (GM) model. The nominated model uses the Lexicographic preferences to hierarchically consider the environmental issues, economics, and reliability of power systems. In this regard, the produced emission, which reflects the per unit produced pollutant values in different locations, is minimized. Taking into account the environmental constraints, the total incurred expenditures, including operating and maintenance costs, reserves costs, and total incentives are also minimized. Subsequently, the GM problem considering the correlation constraints is handled while the reliability index, the average net reserve value (ANRV), is maximized over the scheduling horizon. The DSRs improve the system reliability such that the total costs, and emission level, do not exceed the situation in which DSRs are not available. The GM scheduling is a highly complicated problem and considering DSRs makes it even more complicated. To handle this problem more efficiently, appropriate linearization technique is used, while the proposed model is formulated in GAMS modeling language. To evaluate the capability of DSRs in system reliability improvement, the modified 24-bus IEEE-RTS is conducted. Results indicate that by selecting proper location and incentives, significant improvement is obtained.
Original languageEnglish
Pages (from-to)1153-1163
Number of pages11
Issue number7
Early online date2018
Publication statusPublished - 9 Apr 2019
MoE publication typeA1 Journal article-refereed


  • Generation Maintenance Scheduling
  • Reliability
  • Environmentally Constrained
  • Demand side management (DSM)


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