Coordinate sizing of energy storage and transmission line for a remote renewable power plant
Abstract To protect the environment and reduce carbon emissions, renewable power generation has been growing rapidly during the past decade. Renewable energy resources are sometimes far away from the main grid, leading to expensive grid‐connection transmission lines. Deploying on‐site energy storage...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-09-01
|
| Series: | IET Renewable Power Generation |
| Online Access: | https://doi.org/10.1049/rpg2.12440 |
| _version_ | 1811344827890008064 |
|---|---|
| author | Rui Xie Wei Wei Ming‐Feng Ge Qiuwei Wu Shengwei Mei |
| author_facet | Rui Xie Wei Wei Ming‐Feng Ge Qiuwei Wu Shengwei Mei |
| author_sort | Rui Xie |
| collection | DOAJ |
| description | Abstract To protect the environment and reduce carbon emissions, renewable power generation has been growing rapidly during the past decade. Renewable energy resources are sometimes far away from the main grid, leading to expensive grid‐connection transmission lines. Deploying on‐site energy storage can smooth the output power and help to reduce the renewable power spillage and the requirement of transmission line capacity. This paper presents a method to coordinately size on‐site energy storage and grid‐connection transmission line for a remote renewable power plant, minimising the total investment cost subject to the constraint of renewable curtailment risk. Through an optimal operation model, the renewable curtailment is proven to be a piecewise affine function of capacity parameters and renewable power generation, and a linear programming‐based algorithm is proposed to generate an approximate expression. A distributionally robust optimisation model is proposed to determine the sizes. The renewable generation uncertainty is modelled by a Wasserstein‐metric‐based ambiguity set containing probability distributions around the empirical distribution constructed from the historical data. The utilisation rate is ensured in the worst‐case distribution. The sizing problem is transformed into a tractable linear program. The case study demonstrates the effectiveness of the proposed method. |
| first_indexed | 2024-04-13T19:53:59Z |
| format | Article |
| id | doaj.art-a8cd011ac94d46d3a8f17854a3c1ea60 |
| institution | Directory Open Access Journal |
| issn | 1752-1416 1752-1424 |
| language | English |
| last_indexed | 2024-04-13T19:53:59Z |
| publishDate | 2022-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj.art-a8cd011ac94d46d3a8f17854a3c1ea602022-12-22T02:32:25ZengWileyIET Renewable Power Generation1752-14161752-14242022-09-0116122508252010.1049/rpg2.12440Coordinate sizing of energy storage and transmission line for a remote renewable power plantRui Xie0Wei Wei1Ming‐Feng Ge2Qiuwei Wu3Shengwei Mei4State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Beijing ChinaState Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Beijing ChinaSchool of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan ChinaCenter for Electric Power and Energy Technical University of Denmark Kongens Lyngby DenmarkState Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Beijing ChinaAbstract To protect the environment and reduce carbon emissions, renewable power generation has been growing rapidly during the past decade. Renewable energy resources are sometimes far away from the main grid, leading to expensive grid‐connection transmission lines. Deploying on‐site energy storage can smooth the output power and help to reduce the renewable power spillage and the requirement of transmission line capacity. This paper presents a method to coordinately size on‐site energy storage and grid‐connection transmission line for a remote renewable power plant, minimising the total investment cost subject to the constraint of renewable curtailment risk. Through an optimal operation model, the renewable curtailment is proven to be a piecewise affine function of capacity parameters and renewable power generation, and a linear programming‐based algorithm is proposed to generate an approximate expression. A distributionally robust optimisation model is proposed to determine the sizes. The renewable generation uncertainty is modelled by a Wasserstein‐metric‐based ambiguity set containing probability distributions around the empirical distribution constructed from the historical data. The utilisation rate is ensured in the worst‐case distribution. The sizing problem is transformed into a tractable linear program. The case study demonstrates the effectiveness of the proposed method.https://doi.org/10.1049/rpg2.12440 |
| spellingShingle | Rui Xie Wei Wei Ming‐Feng Ge Qiuwei Wu Shengwei Mei Coordinate sizing of energy storage and transmission line for a remote renewable power plant IET Renewable Power Generation |
| title | Coordinate sizing of energy storage and transmission line for a remote renewable power plant |
| title_full | Coordinate sizing of energy storage and transmission line for a remote renewable power plant |
| title_fullStr | Coordinate sizing of energy storage and transmission line for a remote renewable power plant |
| title_full_unstemmed | Coordinate sizing of energy storage and transmission line for a remote renewable power plant |
| title_short | Coordinate sizing of energy storage and transmission line for a remote renewable power plant |
| title_sort | coordinate sizing of energy storage and transmission line for a remote renewable power plant |
| url | https://doi.org/10.1049/rpg2.12440 |
| work_keys_str_mv | AT ruixie coordinatesizingofenergystorageandtransmissionlineforaremoterenewablepowerplant AT weiwei coordinatesizingofenergystorageandtransmissionlineforaremoterenewablepowerplant AT mingfengge coordinatesizingofenergystorageandtransmissionlineforaremoterenewablepowerplant AT qiuweiwu coordinatesizingofenergystorageandtransmissionlineforaremoterenewablepowerplant AT shengweimei coordinatesizingofenergystorageandtransmissionlineforaremoterenewablepowerplant |