Multi-Area Power Generation Dispatch in Competitive Markets

Yingvivatanapong, C.; Lee, Wei-Jen; Liu, E.

doi:10.1109/tpwrs.2007.913304

Cited by 42 publications

(26 citation statements)

References 23 publications

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“…Power balance The balance between the power production and the power demand for the m th area and for the whole system is given by Equation (8), (8) can be written as follows: The proposed method is based on classical Lagrange's optimisation [28]- [31]. The literature review found that the classical Lagrange's method has been used till now only for sequential solution of the MACEED problem in [5], [8], [13]- [18], and [20]. The Lagranges method is introduced in early 1972 for the power system spinning reserve determination in a multi system configuration [32], an interim multi-area economic dispatch [33], and two area power systems economic dispatch problem in [34].…”

Section: Type One: Operational Costmentioning

confidence: 99%

Decomposition-Coordinating Method for Parallel Solution of a Multi-area Combined Economic Emission Dispatch Problem

Krishnamurthy

Tzoneva

2016

IJECE

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Multi-area Combined Economic Emission Dispatch (MACEED) problem is an optimization task in power system operation for allocating the amount of generation to the committed units within the system areas. Its objective is to minimize the fuel cost and the quantity of emissions subject to the power balance, generator limits, transmission line and tie-line constraints. The solutions of the MACEED problem in the conditions of deregulation are difficult, due to the model size, nonlinearities, and the big number of interconnections, and require intensive computations in real-time. HighPerformance Computing (HPC) gives possibilities for the reduction of the problem complexity and the time for calculation by the use of parallel processing techniques for running advanced application programs efficiently, reliably and quickly. These applications are considered as very new in the power system control centers because there are not available optimization methods and software based on them that can solve the MACEED problem in parallel, paying attention to the existence of the power system areas and the tie-lines between them. A decomposition-coordinating method based on Lagrange's function is developed in this paper. Investigations of the performance of the method are done using IEEE benchmark power system models.

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Section: Type One: Operational Costmentioning

confidence: 99%

Decomposition-Coordinating Method for Parallel Solution of a Multi-area Combined Economic Emission Dispatch Problem

Krishnamurthy

Tzoneva

2016

IJECE

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“…Nonetheless, several papers based on deterministic approach have been reported in the literature [23]- [25] and [26] to solve spinning reserve scheduling problem in a MAPS.…”

Section: B Literature Review and Contributionmentioning

confidence: 99%

Probabilistic Spinning Reserve Provision Model in Multi-Control Zone Power System

Ahmadi-Khatir

Bozorg

Cherkaoui

2013

IEEE Trans. Power Syst.

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Abstract-Inter-zonal trading in multi-area power system (MAPS) improves the market efficiency and the system reliability by sharing the resources (energy and reserve services) across zonal boundaries. Actually, each area can operate with less reserve resources than would normally be required for isolated operation. The aim of this work is to propose a model that includes the problem of optimal spinning reserve (SR) provision into the security constraint unit commitment (SCUC) formulation based on the reliability criteria for a MAPS. The loss of load probability (LOLP) and the expected load not served (ELNS) are evaluated as probabilistic metrics in the case of a multi-control zone power system. Moreover, we demonstrate how these criteria can be explicitly incorporated into the market-clearing formulation. The non-coincidental nature of spinning reserve requirement across the zonal boundary is effectively modeled. Two system cases including a small-scale (six-bus) test system and the IEEE reliability test system (IEEE-RTS) are used to demonstrate the effectiveness of the presented model. Index Terms-Multi-control zone, probabilistic approach, reliability metrics, spinning reserve, unit commitment.

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“…The objective of a multiarea generation scheduling problem is to coordinate area generations in order to minimize the operation cost [11][12][13][14]. The constraints are composed of the system power balance, spinning reserve requirements in every area, unit upper/ lower generation limits, unit minimum up/down times, tie line limitations and so on.…”

Section: Multi-area Unit -Commitment With Bilateral Contractmentioning

confidence: 99%

Multi-Area Unit Commitment with Bilateral Contract Approach in Deregulated Electricity Market

Selvi¹,

Devi²,

Rajan³

2009

Journal of Electrical Engineering and Technology

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-The eventual goal of this paper is to help the generating companies and load-serving entities to choose appropriate relative levels of interconnected system versus bilateral trades while considering risk, and economic performance. In competitive power markets, electricity prices are determined by balance between demand and supply in electric power exchanges or bilateral contracts. The problem formulation is bilateral contract incorporated into Multi-area unit commitment with import/export and tie-line constraints. This proposed method considers maximizing own profit or minimize the operating cost among the generating companies in multi-area system. The feasibility of the proposed algorithm has been demonstrated using IEEE system with four areas and experimental results shows that proposed method is reliable, fast and computationally efficient

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Multi-Area Power Generation Dispatch in Competitive Markets

Cited by 42 publications

References 23 publications

Decomposition-Coordinating Method for Parallel Solution of a Multi-area Combined Economic Emission Dispatch Problem

Decomposition-Coordinating Method for Parallel Solution of a Multi-area Combined Economic Emission Dispatch Problem

Probabilistic Spinning Reserve Provision Model in Multi-Control Zone Power System

Multi-Area Unit Commitment with Bilateral Contract Approach in Deregulated Electricity Market

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