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Optimal Bidding Strategy for a Strat...
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ProQuest Information and Learning Co.
Optimal Bidding Strategy for a Strategic Power Producer Using Mixed Integer Programming.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Optimal Bidding Strategy for a Strategic Power Producer Using Mixed Integer Programming./
作者:
Sadat, Sayed Abdullah.
面頁冊數:
1 online resource (55 pages)
附註:
Source: Masters Abstracts International, Volume: 56-03.
Contained By:
Masters Abstracts International56-03(E).
標題:
Electrical engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9781369689310
Optimal Bidding Strategy for a Strategic Power Producer Using Mixed Integer Programming.
Sadat, Sayed Abdullah.
Optimal Bidding Strategy for a Strategic Power Producer Using Mixed Integer Programming.
- 1 online resource (55 pages)
Source: Masters Abstracts International, Volume: 56-03.
Thesis (M.S.E.E.)
Includes bibliographical references
The thesis focuses on a mixed integer linear programming (MILP) formulation for a bi-level mathematical program with equilibrium constraints (MPEC) considering chance constraints. The particular MPEC problem relates to a power producer's bidding strategy: maximize its total benefit through determining bidding price and bidding power output while considering an electricity pool's operation and guessing the rival producer's bidding price. The entire decision-making process can be described by a bi-level optimization problem. The contribution of our thesis is the MILP formulation of this problem considering the use of chance constrained mathematical program for handling the uncertainties.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781369689310Subjects--Topical Terms:
596380
Electrical engineering.
Index Terms--Genre/Form:
554714
Electronic books.
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The thesis focuses on a mixed integer linear programming (MILP) formulation for a bi-level mathematical program with equilibrium constraints (MPEC) considering chance constraints. The particular MPEC problem relates to a power producer's bidding strategy: maximize its total benefit through determining bidding price and bidding power output while considering an electricity pool's operation and guessing the rival producer's bidding price. The entire decision-making process can be described by a bi-level optimization problem. The contribution of our thesis is the MILP formulation of this problem considering the use of chance constrained mathematical program for handling the uncertainties.
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First, the lower-level poor operation problem is replaced by Karush-Kuhn-Tucker (KKT) optimality condition, which is further converted to an MILP formulation except a bilinear item in the objective function. Secondly, duality theory is implemented to replace the bilinear item by linear items. Finally, two types of chance constraints are examined and modeled in MILP formulation. With the MILP formulation, the entire MPEC problem considering randomness in price guessing can be solved using off-shelf MIP solvers, e.g., Gurobi. A few examples and a case study are given to illustrate the formulation and show the case study results.
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