The unitcommitment problem (UCP) is the problem of deciding up/down and generation-level patterns of energy production units. Due to the expansion of distributed energy resources and the liberalization of energy trad...
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The unitcommitment problem (UCP) is the problem of deciding up/down and generation-level patterns of energy production units. Due to the expansion of distributed energy resources and the liberalization of energy trading in recent years, solving the distributed UCP (DUCP) is attracting the attention of researchers. Once an up/down pattern is determined, the generation-level pattern can be decided distributively using the alternating direction method of multipliers (ADMM). However, ADMM does not guarantee convergence when deciding both up/down and generation-level patterns. In this paper, we propose a method to solve the DUCP using ADMM and constraint optimization programming. Numerical experiments show the efficacy of the proposed method.
Independent system operators (ISO) and regional transmission organizations (RTO) adopt centralized optimization approaches for the optimal operation of power systems, which collect all required information and perform...
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Independent system operators (ISO) and regional transmission organizations (RTO) adopt centralized optimization approaches for the optimal operation of power systems, which collect all required information and perform centralized operation decisions at the central controller. As the size of power systems expends and more flexible and distributed resources from the demand side are being involved in power systems, such a centralized framework raises computation and communication concerns. distributed optimization, as an alternative approach to solve challenges of the centralized optimization mechanism, has attracted increasing attention recently. This paper reviews existing works on distributed optimization for power systems operation. We first discuss various distributed optimization algorithms that have been studied for power systems operation, followed by a detailed literature review on adopting such distributed algorithms for major power systems operation applications including distributed economic dispatch (ED), distributed AC-optimal power flow (OPF), distributed unit commitment (UC), and other distributed applications. The advantages and barriers of applying each distributed algorithm in practice are discussed. Since the applications of distributed algorithms in practical cases largely rely on the high performance computing (HPC) platform, the application of HPC techniques on power system operation problems is also reviewed. Future research needs for effectively and efficiently promoting the practical deployment of such distributed optimization approaches in emerging power systems are identified. (C) 2016 Elsevier B.V. All rights reserved.
This paper recognizes that short-run marginal cost-based electricity pricing must be revisited. This is primarily because the effects of information asymmetries and diverse technical characteristics and preferences in...
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ISBN:
(纸本)9781457710018
This paper recognizes that short-run marginal cost-based electricity pricing must be revisited. This is primarily because the effects of information asymmetries and diverse technical characteristics and preferences in a system with very little storage are no longer second order. We review three possible implementations of electricity markets that account for these effects. These are fully centralized unitcommitment, distributed unit commitment and a hybrid unitcommitment. The locational marginal prices (LMPs) obtained are quite different than the short run marginal costs of the power plants. A major recommendation is made that these differences and effects be accounted for as policy is designed for managing uncertainties and inter-temporal constraints and for valuing their effects on pricing. In particular, design of IT-enabled rules, rights and responsibilities (3Rs) for managing and valuing the effects of uncertainties is suggested to be essential. Possible 3Rs for supporting interactive integration of wind power and adaptive load management in systems with large wind penetration are used to illustrate proof-of-concept implementation of such systems without reliability problems. We recommend to pursue studies of the 3Rs impact on the performance of real-world electric energy systems.
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