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Size and Number of CHP Units Considering Variable Electricity Prices Using Stochastic Programming

Rezaei Benam, Masoud | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 43370 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Ehsan, Mehdi
  7. Abstract:
  8. Cogeneration or combined heat and power (CHP) which simultaneously produces electricity and heat energy from sequential use of single fuel source, has been introduced increasingly for industrial, commercial and residential applications due to its high energy efficiency. While the capital costs of CHP systems are comparatively higher than the conventional systems, their proper selection and optimal sizing and also optimal operation could result in shorter capital recovery period and lower cost of energy supply. Essentially the technical, economic and environmental performances of CHP system are closely dependent on its design and operation strategy. This project presents an optimization approach to determine the number and the size of CHP system components. For this purpose, the loss of load expectation (LOLE) and the expected energy not supplied (EENS) are considered as reliability indices to insure the security of operation. The load forecasting inaccuracy and random outages of CHP system components as well as the outage of local grid connection bus are modeled as a scenario tree using Monte Carlo sampling approach. The problem is formulated as a two-stage stochastic mixed integer linear programming (SMILP). A scenario reduction technique is also introduced to reduce the computational burden of scenario based planning problem. In fact the scenario reduction is a tradeoff between calculation speed and accuracy. Finally, the proposed model is applied to a large residential complex in Tehran as a case study.

  9. Keywords:
  10. Stochastic Programming ; Scenario Reduction ; Combined Heat and Power (CHP)System ; Sampling ; Monte Carlo Method ; System Reliability ; Stochastic Mixed Integer Linear Programming (SMILP)

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