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Price-Based Unit Commitment. PBUC FORMULATION  maximize the profit.

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Presentation on theme: "Price-Based Unit Commitment. PBUC FORMULATION  maximize the profit."— Presentation transcript:

1 Price-Based Unit Commitment

2 PBUC FORMULATION

3  maximize the profit

4 PBUC FORMULATION  System Constraints  These constraints represent a GENCO’s special requirements.  For example, a GENCO may have minimum and maximum generation requirements in order to play the game in the energy market.  Because of reliability requirements, a GENCO may pose lower and upper limits on its spinning and no-spinning reserves.  These constraints can be relaxed otherwise.

5 PBUC  System Fuel Constraints (For a “FT” type of fuel)  System Emission Constraint

6 PBUC  Unit Constraints

7 PBUC  Unit Minimum ON/OFF Durations  Unit Ramping Constraints  Unit Fuel Constraints

8 PBUC SOLUTION  Lagrangian relaxation is used to solve PBUC.  The basic idea is to relax coupling constraints (i.e., coupling either units, time periods, or both) into the objective function by using Lagrangian multipliers.  The relaxed problem is then decomposed into subproblems for each unit.  The dynamic programming process is used to search the optimal commitment for each unit.  Lagrangian multipliers are then updated based on violations of coupling constraints

9 Solution without Emission or Fuel Constraints  Using Lagrangian multipliers to relax system constraints (i.e., energy and reserve), we write the Lagrangian function as

10 Single-Unit DP  The Lagrangian term for one unit at a single period is given as follows  The separable single-unit problem is formulated as

11 Optimality Condition  When the unit is ON, the derivatives of the Lagrangian function with respect to P, R, and N are

12 optimality condition  when the unit is ON, the optimality condition is

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15 Optimality Condition when the Unit is OFF

16 Multipliers Update

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19 Economic Dispatch  Once the unit commitment status is determined, an economic dispatch problem is formulated and solved to ensure the feasibility of the original unit commitment solution.  subject to energy, reserve, and unit generation limits  quadratic or linear programming can be applied to solve this problem

20 Economic Dispatch for Non-spinning Reserve

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22 Economic Dispatch for Spinning Reserve

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24 Economic Dispatch for Energy

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26 Convergence Criterion  Suppose that the solution from unit commitment is SU and the solution from economic dispatch is SE  Substituting SU into the Lagrangian function, we would get the Lagrangian value, LU.  Substituting SE into the Lagrangian function we would get the Lagrangian value, denoted as LE  The relative duality gap (RDG)

27 Solution with Emission and Fuel Constraints

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30 Optimality Condition

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34 Multipliers Update for Emission and Fuel Constraints

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36 Economic Dispatch

37 Energy Purchase

38 Derivation of Steps in Update of Multipliers

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40 Optimality Condition

41 Bidding Strategy Based on PBUC

42 Bidding Strategy

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53 Case Study of 5-Unit System

54 Case 1: Impact of the Energy Market Price

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56 Case 2: Impact of Ramp Rates

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58 Case 3: Impact of Fuel Price Variations

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60 Case 5: Impact of Different LMPs

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