Hans F. Ravn and Jens M. Rygaard. Optimal scheduling of coproduction with a storage. Eng. Opt., 22:267281, 1994. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Algorithms for Short-Term Production-Planning of Cogeneration.. - Dotzauer (1997) (1 citation) (Correct)
.... Gamma (q i;S l 0 i;S ) Delta i : 4.38) The parameters l i;S and l 0 i;S may vary over the time horizon. The major reason being that the temperature level in the storage tank may vary over time. Equation (4.38) is a generalization of the storage equation (5. 4) used by Ravn and Rygaard [RR94]. There are restrictions of e i;S and q i;S described as the inequality bounds e i;S e i;S e i;S (4.39) and q i;S q i;S q i;S : 4.40) 4.2 Modeling the Production Plant To make the model as general as possible, introduce a new type of production unit; the Dummy unit (with the abbreviation ....
....the problem. For any feasible heat power production q i;k there is an optimal electricity production p i;k , i.e. p i;k could be described as a function of q i;k . This implies that the feasible region reduces to simple bounds on q i;k . The elimination of p i;k , rst done by Ravn and Rygaard in [RR94], is not implemented in the approach presented in this thesis. With these simplications a production unit is described using only u i;k , q i;k and p i;k . The decision variables for the Heat water storage are still q i;S 32 CHAPTER 4. PROBLEM FORMULATION and e i;S . This implies that the ....
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Hans F. Ravn and Jens M. Rygaard. Optimal scheduling of coproduction with a storage. Eng. Opt., 22:267281, 1994.
Models for Short-Term Production Planning of Cogeneration.. - Dotzauer, Holmström (1997) (Correct)
....be used as a reserve or as a peak unit, i.e. discharging the storage instead of starting a new unit. To find the optimal use of the storage leads to a difficult mathematical problem, and it has been hard to find a good practical solution, in spite of several attempts, see [GGB85] Eri94] and [RR94] A good practical solution will have great economical impact. In this paper we consider the problem of finding the best production schedule for the near future using a combination of mathematical models and computer algorithms. Our aim is to find the production that minimizes a mathematical ....
....are also upper and lower bounds of Q i;S and Q i;S , Q i;S Q i;S b Q i;S (4) 6 and Q i;S Q i;S b Q i;S : 5) In practice the parameters q s and q s are time dependent, the major reason being that the temperature level in the storage tank may vary over time. Ravn et al. RR94] are using (1) and (3) with Delta i 1 = 1, but here we have generalized these equations to handle arbitrary length of time intervals. The heat power from the storage contributes to the objective function with a cost c i;S described as a function of Q i;S . A common way to model is to compute ....
[Article contains additional citation context not shown here]
Hans F. Ravn and Jens M. Rygaard. Optimal scheduling of coproduction with a storage. Eng. Opt., 22:267--281, 1994.
Optimal Unit Commitment And Economic Dispatch Of.. - Dotzauer, Holmström.. (1999) Self-citation (Ravn) (Correct)
....reliable optimization models and methods. However, nding the optimal production of both heat and power, possibly also taking into account the optimal use of a heat storage, is a diOEcult optimization problem. Various approaches to the modeling have been proposed, see in particular [1] 2] 3] [4], 5] and [6] It seems that Lagrangian relaxation and dynamic programming methods in particular, possibly in combination, are considered to be relevant to this problem type. The present paper presents a modeling of a cogeneration plant including a heat storage. An algorithm for optimal ....
....storage energy content e i;S is given, the economic dispatch problem will decompose into one problem for each time interval. This makes the problem suitable for using solution methods based on dynamic programming. The dynamic programming technique is widely used, for example by Ravn and Rygaard [4], Dotzauer [1] and Ito, Yokoyama and Shiba [3] In this paper another methodology will be presented, also exploiting the fact that (6) is the only time coupling constraint. The solution method is based on Lagrangian relaxation. De ning i , i = 1; I, as the Lagrangian multipliers and ....
Hans F. Ravn and Jens M. Rygaard, Optimal Scheduling of Coproduction with a Storage, Eng. Opt., 22:267-281, 1994.
Optimal Scheduling of Cogeneration Plants - Dotzauer, Holmström (1997) (Correct)
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Hans F. Ravn and Jens M. Rygaard. Optimal scheduling of coproduction with a storage. Eng. Opt., 22:267--281, 1994.
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