Outline

  • Abstract
  • Highlights
  • Keywords
  • Nomenclature
  • 1. Introduction
  • 2. Problem Formulation
  • 2.1. Drsps’ Supply Curve
  • 2.2. Generation Scheduling & Uc Associated with Dr Exchange
  • 2.2.1. Objective Function
  • 2.2.2. Problem Constraints
  • 3. Numerical Study
  • 4. Conclusion
  • Appendix a
  • References

رئوس مطالب

  • چکیده
  • 1. مقدمه
  • 2. فرمول بندی مسئله
  • 2.2 زمان بندی تولید و التزام واحد مربوطه به همراه مبادله DR
  • 2.2.1 : تابع هدف
  • 2.2.2 : قیود مسئله
  • 3. مطالعه عددی
  • 4. نتیجه گیری

Abstract

This paper investigates the impact of demand response resources (DRRs) as the consequence of implementing demand response programs (DRPs) on power markets. Indeed, this paper incorporates commercial concept of DRPs with unit commitment (UC) to solve “unit and DR commitment” problem. This mixed problem will decrease the network operation cost by using of DRPs’ potential to mitigate some UC constraints and avoiding some highly priced generation of units. Here, employing the proposed DRPs model is considered as a new concept in electricity market. In this paper, a dynamic approach is proposed for participating DR service providers in power markets in order to maximize their profits. This paper also aims to concurrently consider the aforementioned commercial DRPs supply model with the generators supply curves in the unit commitment problem, which is solved to minimize operational costs considering multifarious constraints. Performance of the proposed approach is investigated through numerical studies using a standard IEEE 10-unit test system. The results show the efficiency and advantage of the proposed methodology.

Highlights ► A dynamic approach has been proposed for bidding strategy of DR service providers. ► Demand response programs have been introduced as a commercial commodity. ► DRSP supply model has been considered concurrently with the supply curve of units. ► Decreased amount of operation cost due to enrolling DRSPs.

Keywords: - - - -

Conclusions

In this paper, the commercial concept of DR is addressed. Based on this new concept, DR programs are modeled as a tradable commodity which can be considered concurrently with generators in unit commitment optimization problems. Simultaneous determination of generators power and amount of enabled DR for minimizing the operation costs is the main aim of the proposed UC problem. A dynamic approach is proposed for achieving to DRSPs’ supply curves. Each DRSPs’ supply curve depends on the behavior of other providers in the past times. It also depends on the amount of the required DR. Comparison between the results of the proposed UC, which contains the commercial DR curves beside the generators supply curves, by traditional UC, will clarify the advantage of the proposed method. As it is shown with numerical study, using of introduced approach decreases the operation costs dramatically. Sometimes, it is possible that some generators have to work with low efficiency only because of its MUT constraint. These similar situations will cause huge costs for operation. Considering commercial supply curves of DR simultaneously with generators supply curves, can eliminate some of these expensive situations. If it is possible for operators to supply a load demand without using of expensive generators in peak times, these generators can stay off and it is not necessary for these units to work with low efficiency in other hours. In addition, the startup costs of these units will be removed. All simulation results are verifying these claims and show the advantage and usefulness of the proposed method.

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