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Dynamic assessment of capacity investment in electricity market considering complementary capacity mechanisms

Hasani, M ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. DOI: 10.1016/j.energy.2010.10.041
  3. Publisher: 2011
  4. Abstract:
  5. This paper proposes a decentralized market-based model for long-term capacity investment decisions in a liberalized electricity market. Investment decisions are fundamentally based on total revenues gained by investors. In most electricity markets, the complementary mechanisms are designed to ensure a desired level of reliability while covering investment costs of the suppliers. In such an environment, investment decisions are highly sensitive to expectation of price signals in both of energy market and capacity mechanisms. In this work, the system dynamics concepts are used to model the structural characteristics of electricity market such as, long-term firms' behavior and relationships between variables, feedbacks, and time delays by appropriately bundling the energy market and capacity mechanisms. The market oriented capacity price as well as non-competitive capacity payments and a proposed hybrid capacity mechanism are linked with the energy market in the model. Such a decision model enables both the generation companies and the regulators gaining perfect insights into the possible consequences of different decisions they make under different policies and market conditions. In order to examine the performance of the electricity market with different capacity mechanisms, a case study is presented which exhibits the effectiveness of the proposed model
  6. Keywords:
  7. System dynamics ; Capacity markets ; Capacity mechanisms ; Capacity payments ; Energy markets ; Investment decision ; Commerce ; Dynamics ; Economics ; Electric industry ; Mathematical models ; System theory ; Complementarity ; Decision analysis ; Decision making ; Energy market ; Industrial competition ; Investment ; Market system ; Numerical model ; Performance assessment ; Systems analysis
  8. Source: Energy ; Volume 36, Issue 1 , January , 2011 , Pages 277-293 ; 03605442 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0360544210006043