Abstract
The prosumer market, where energy surplus can be sold to consumers or utility, has emerged with the increasing penetration of renewable energy sources. The energy management system plays a key role in the prosumer market environment by controlling dispatchable sources - for example, the energy storage systems (ESSs) - to achieve operational goals, such as economic or stable operations. This paper, in this context, proposes the coordination scheme between day-ahead optimizing planning and real-time corrective operations of the ESS, aiming to achieve economic benefit - by reducing operational costs - and contract fulfillment - by providing designated power to customers in a grid-connected industrial complex at peak-load time. All in all, the ultimate goal of the proposed methodology is to maximize the profits of prosumers in various operating conditions, such as the cloudy weather and grid supporting. This paper also presents case studies with a test bed of prosumer market to validate the proposed method. Actual field data of renewable generations and load consumptions in an industrial complex are used as historical data, i.e., production and load profiles. For day-ahead optimization that minimizes operation costs as well as prevents battery deterioration, quadratic programming is used.
| Original language | English |
|---|---|
| Pages (from-to) | 1949-1957 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Industry Applications |
| Volume | 54 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2018 May 1 |
| Externally published | Yes |
Bibliographical note
Funding Information:Manuscript received July 22, 2017; revised November 10, 2017; accepted January 8, 2018. Date of publication January 15, 2018; date of current version May 18, 2018. Paper 2017-ESC-0750.R1, presented at the 2017 IEEE Industry Applications Society Annual Meeting, Cincinnati, OH, USA, Oct. 1–5, 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 Korea Institute of Energy Technology Evaluation and Planning and in part by the Ministry of Trade, Industry and Energy of the Republic of Korea under Grant 17-02-N0299-02. (Corresponding author: Sungyun Choi.) The authors are with the Smart Power Grid Research Center, Korea Electrotechnology Research Institute, Uiwang 16029, South Korea (e-mail: sungyun. [email protected]; [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
Keywords
- Day-ahead planning
- energy management
- energy storage systems (ESSs)
- optimization
- prosumer market
- quadratic programming
- real-time operation
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
