A real-time energy management system for smart grid integrated photovoltaic generation with battery storage
| Autor: | Ole-Morten Midtgard, Chee Lim Nge, Lars Norum, Iromi Ranaweera |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Battery (electricity)
Optimization problem 060102 archaeology Renewable Energy Sustainability and the Environment Energy management Computer science business.industry 020209 energy Photovoltaic system 06 humanities and the arts 02 engineering and technology Optimal control Automotive engineering Energy management system Smart grid 0202 electrical engineering electronic engineering information engineering 0601 history and archaeology Electricity business |
| Zdroj: | Renewable Energy |
| Popis: | This paper proposes a real-time energy management system (EMS) suitable for rooftop PV installations with battery storage. The EMS is connected to a smart grid where the price signals indirectly control the power output of the PV/battery system in response to the demand variation of the electricity networks. The objective of the EMS is to maximize the revenue over a given time period while meeting the battery stored energy constraint. The optimization problem is solved using the method of Lagrange multipliers. The uniqueness of the proposed EMS remains in the reactive real-time control mechanism that compensates for the PV power forecast error. The proposed EMS requires only forecasting the average PV power output over the total optimization period. This is in contrast to the predictive power scheduling techniques that require accurate instantaneous PV power forecast. The proposed EMS method is verified by benchmarking against the predictive brute-force dynamic programming (DP) approach. The simulation analysis considers days with varying solar irradiance profiles. The simulation analysis shows the proposed EMS operating under practical assumptions, where the battery storage capacity is subject to constraints and the PV power output is not known a priori. © 2018. This is the authors’ accepted and refereed manuscript to the article. Locked until 21.6.2020 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Databáze: | OpenAIRE |
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