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Abstract
With the development of distributed energy resources (DERs) and the increasing flexibility in active distribution networks (ADNs), the economic operation of ADN coordinating both generation and demand sides is required to be studied. In this paper, considering the electricity price response of DER, a coordinated operation strategy for ADN is presented based on a bi-level agent framework. The DER agent makes their own response based on the technical operability and economic consideration, while the ADN agent will finally coordinate each participant by using the interactive benefit prioritization (IBP) principle. The simulation results indicate that the proposed strategy cannot only reduce the power imbalance but also improve the economic operation of ADN. Moreover, consumption of renewable energy is ameliorated as well.
| Original language | English |
|---|---|
| Article number | 8654014 |
| Pages (from-to) | 3310-3320 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Industry Applications |
| Volume | 55 |
| Issue number | 4 |
| Early online date | 27 Feb 2019 |
| DOIs | |
| Publication status | Published - 1 Jul 2019 |
Funding
Manuscript received July 8, 2018; revised October 27, 2018 and January 11, 2019; accepted January 30, 2019. Date of publication February 27, 2019; date of current version June 29, 2019. Paper 2018-ESC-0585.R2, presented at the 2018 IAS Annual Meeting, Portland, OR, USA, Sep. 23–Sep. 27, 2018, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Energy Systems Committee of the IEEE Industry Applications Society. This work was supported in part by the Science and Technology Project of State Grid Corporation of China “Research and application of technical path development and its precise investment decision in active distribution network” under Grant 52130417002R, in part by the Young Scholar Support Program of the Chinese Society of Electrical Engineering “Optimal modelling and decision for distribution network planning and investment based on correlation mining,” under Grant CSEE-YESS-2018006, in part by the National Natural Science Foundation of China under Grant 51807127, in part by Sichuan Science and Technology Program under Grant 2019YFH0171, and in part by the Fundamental Research Funds for the Central Universities under Grant YJ201654. (Corresponding author: Yue Xiang.) S. Hu, Y. Xiang, and J. Liu are with the College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China (e-mail:, [email protected]; [email protected]; [email protected]).
Keywords
- Active distribution network (ADN)
- distributed energy resources (DERs)
- interactive benefit prioritization (IBP)
- multi-agent
- price response
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
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Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response
Gu, C. (PI)
Engineering and Physical Sciences Research Council
1/09/14 → 31/08/17
Project: Research council