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Itô-theory-based multi-time scale dispatch approach for cascade hydropower-photovoltaic complementary system.

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Title: Itô-theory-based multi-time scale dispatch approach for cascade hydropower-photovoltaic complementary system.
Authors: Wang, Zizhao1 (AUTHOR) wangzizhao@hhu.edu.cn, Wu, Feng1 (AUTHOR) wufeng@hhu.edu.cn, Li, Yang1 (AUTHOR) eeliyang@hhu.edu.cn, Shi, Linjun1 (AUTHOR), Lee, Kwang Y.2 (AUTHOR), Wu, Jiawei1 (AUTHOR)
Source: Renewable Energy: An International Journal. Jan2023, Vol. 202, p127-142. 16p.
Subject Terms: *Photovoltaic power generation, *Water levels, *Reservoirs, *Photovoltaic power systems, Stochastic differential equations, Maximum power point trackers, Electric power distribution grids
Geographic Terms: China
Abstract: The complementary operation of cascade hydropower (CHP) and photovoltaic (PV) can increase the integration of PV power and has become a trend in modern power systems. However, the randomness and variability of PV power output might cause challenges in precisely tracking the submitted generation plan of the CHP-PV complementary system. The safety and stability of the receiving-end power grid might deteriorate. In this paper, a multi-time scale dispatch framework with day-ahead and intra-day dispatch is established for the CHP-PV complementary system to address the PV uncertainties. The day-ahead dispatch is employed to provide reliable reference results and sufficient adjustment reservations for the intra-day dispatch. An Itô-theory-based stochastic optimization (ITB-SO) approach is proposed for the intra-day dispatch by modeling the PV prediction error with stochastic differential equations (SDE). The SDE model can be embedded into the ITB-SO approach without scenario generation, and thus computational burden can be significantly reduced compared with scenario-based methods. A complementary system in southwest China is chosen as a detailed case study. The simulation results demonstrate that real-time random PV fluctuations could be compensated by adjusting CHPs. Meanwhile, the target water level of cascade reservoirs can be tracked under the proposed approach. [ABSTRACT FROM AUTHOR]
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Database: GreenFILE
Description
Abstract:The complementary operation of cascade hydropower (CHP) and photovoltaic (PV) can increase the integration of PV power and has become a trend in modern power systems. However, the randomness and variability of PV power output might cause challenges in precisely tracking the submitted generation plan of the CHP-PV complementary system. The safety and stability of the receiving-end power grid might deteriorate. In this paper, a multi-time scale dispatch framework with day-ahead and intra-day dispatch is established for the CHP-PV complementary system to address the PV uncertainties. The day-ahead dispatch is employed to provide reliable reference results and sufficient adjustment reservations for the intra-day dispatch. An Itô-theory-based stochastic optimization (ITB-SO) approach is proposed for the intra-day dispatch by modeling the PV prediction error with stochastic differential equations (SDE). The SDE model can be embedded into the ITB-SO approach without scenario generation, and thus computational burden can be significantly reduced compared with scenario-based methods. A complementary system in southwest China is chosen as a detailed case study. The simulation results demonstrate that real-time random PV fluctuations could be compensated by adjusting CHPs. Meanwhile, the target water level of cascade reservoirs can be tracked under the proposed approach. [ABSTRACT FROM AUTHOR]
ISSN:09601481
DOI:10.1016/j.renene.2022.11.038