DOI:10.35833/MPCE.2020.000743 |
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Frequency-constrained Co-planning of Generation and Energy Storage with High-penetration Renewable Energy |
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Page view: 116
Net amount: 576 |
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Author:
Chengming Zhang1,Lu Liu1,Haozhong Cheng1,Dundun Liu1,Jianping Zhang2,Gang Li2
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Author Affiliation:
1.Key Laboratory of Control of Power Transmission and Conversion, Shanghai Jiao Tong University, Shanghai, China;2.East China Branch of State Grid Corporation, Shanghai, China
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Foundation: |
This work was supported by the National Key R&D Program of China (No. 2016YFB0900100) and the National Natural Science Foundation of China (No. 51807116). |
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Abstract: |
Large-scale renewable energy integration decreases the system inertia and restricts frequency regulation. To maintain the frequency stability, allocating adequate frequency-support sources poses a critical challenge to planners. In this context, we propose a frequency-constrained coordination planning model of thermal units, wind farms, and battery energy storage systems (BESSs) to provide satisfactory frequency supports. Firstly, a modified multi-machine system frequency response (MSFR) model that accounts for the dynamic responses from both synchronous generators and grid-connected inverters is constructed with preset power-headroom. Secondly, the rate-of-change-of-frequency (ROCOF) and frequency response power are deduced to construct frequency constraints. A data-driven piecewise linearization (DDPWL) method based on hyperplane fitting and data classification is applied to linearize the highly nonlinear frequency response power. Thirdly, frequency constraints are inserted into our planning model, while the unit commitment based on the coordinated operation of the thermal-hydro-wind-BESS hybrid system is implemented. At last, the proposed model is applied to the IEEE RTS-79 test system. The results demonstrate the effectiveness of our co-planning model to keep the frequency stability. |
Keywords: |
Battery energy storage system (BESS) ; data-driven piecewise linearization ; generation planning ; multi-machine system frequency response ; unit commitment ; wind farm |
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Received:November 09, 2020
Online Time:2021/08/04 |
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