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[会议论文]

Ex-post real-time distribution LMP based on state estimation

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author:

Liu, Yikui (Liu, Yikui.) [1] | Li, Jie (Li, Jie.) [2] | Wu, Lei (Wu, Lei.) [3] | Unfold

Indexed by:

EI Scopus

Abstract:

The modern distribution system with proliferated distributed energy resources (DERs) integration and increased demand response capacities is expecting to experience a deregulation process just as what is happening in the transmission system. Ex-post real-time distribution system locational marginal pricing (DLMP) is proposed in this paper as an effective economic signal to reflect the marginal cost of supplying incremental loads in different connecting points of the distribution system while considering actual real-time behaviors of DERs and residential consumers. DLMP is defined for each phase at each bus. An incremental linear optimization problem is built by linearizing nodal current injection-based system state equations at the current system operation point, which is provided by the distribution system state estimator. The objective of the incremental linear optimization problem is to maximize the incremental distribution system social welfare, while constrained by a set of incremental system state equations, power balance equations, and adjustment limits of flexible generations/loads. Ex-post real-time DLMPs are calculated via the optimal dual solutions of the incremental linear optimization problem. A modified IEEE 13-bus distribution system is adopted to evaluate the performance of the proposed model. © 2016 IEEE.

Keyword:

Constrained optimization Consumer behavior Costs Electric load flow Electric power transmission Energy resources Equations of state Linear programming State estimation

Community:

  • [ 1 ] [Liu, Yikui]Department of Electrical and Computer Engineering, Clarkson University, Potsdam; NY, United States
  • [ 2 ] [Li, Jie]Department of Electrical and Computer Engineering, Clarkson University, Potsdam; NY, United States
  • [ 3 ] [Wu, Lei]Department of Electrical and Computer Engineering, Clarkson University, Potsdam; NY, United States
  • [ 4 ] [Liu, Qingzhen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China

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ISSN: 1944-9925

Year: 2016

Volume: 2016-November

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

30 Days PV: 0

操作日志

管理员  2024-08-04 19:34:05  更新被引

管理员  2024-02-10 14:01:33  更新被引

刘畅  2022-03-20 10:54:31  数据初审

管理员  2020-11-19 17:53:44  创建

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