DOI:https://doi.org/10.1007/s40565-018-0439-8 |
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Accommodation of curtailed wind power by electric water heatersbased on a new hybrid prediction approach |
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Net amount: 639 |
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Author:
Yang YU1,2, Zengqiang MI1,2, Xiaoming ZHENG1
, Da CHANG1
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Author Affiliation:
1. State Key Laboratory of Alternate Electrical Power System
with Renewable Energy Sources, North China Electric Power
University, Baoding 071003, China
2. Hebei Key Laboratory of Distributed Energy Storage and
Micro-grid, North China Electric Power University, Baoding
071003, China
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Foundation: |
This work was supported by National Natural
Science Foundation of China (No. 51407077), Fundamental Research
Funds for the Central Universities of China (No. 2017MS095) and
Technology Project of State Grid Corporation of China Headquarter
(No. 5204BB16000F). |
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Abstract: |
Wind power curtailment is of great importance
with the increase of large-scale wind power connected to
the grid. A new concept of redundant wind power
accommodated by dispatching electric water heaters
(EWHs) is developed in the paper. Precise predictions of
wind power and EWHs load power are the basis for this
work. A hybrid multi-kernel prediction approach integrating
an adaptive fruit fly optimization algorithm (AFOA)
and multi-kernel relevance vector machine (MKRVM) is
proposed to deal with the sample distribution of multisource
heterogeneous features uncovered by an energy
entropy method, where AFOA is used to determine the
kernel parameters in MKRVM adaptively and avoid the
arbitrariness. For the large computation of the prediction
approach, parallel computation based on the Hadoop
cluster is used to accelerate the calculation. Then, an
economic dispatching model for accommodating wind
power is built taking into account the penalty of curtailed
wind power and the operating cost of EWHs. The proposed
scheme is implemented in an intelligent residential district.
The results show that the optimization performance of the
hybrid prediction approach is superior to those of four
usual optimization algorithms in this case. Regular or
orderly scheduling of EWHs enables accommodation of
superfluous wind power and reduces dispatch cost. |
Keywords: |
Wind power curtailment, Electric water
heaters, Dispatching model, Relevance vector machine,
Prediction model |
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Online Time:2019/05/14 |
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