Long‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration

Lin, Yisha; Qiao, Ying; Lu, Zongxiang

doi:10.1049/gtd2.12276

Cited by 5 publications

(5 citation statements)

References 23 publications

(48 reference statements)

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“…(1) Water energy China has abundant hydro energy resources, and the southcentral and southwestern regions of China contain abundant hydro energy. The use of hydro energy resources as power generation resources has become an important trend in the development of new energy sources (Lin et al, 2021). China ranks among the leading countries in the world in terms of hydroelectric power generation capacity.…”

Section: Methods Design New Energy Concept and Classificationmentioning

confidence: 99%

Empirical analysis of the role of new energy transition in promoting china’s economy

Liu

et al. 2022

Front. Environ. Sci.

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In order to accelerate the development of new energy industry and social economy, this paper presents an empirical analysis of the role of new energy transformation in promoting China’s economy. On the basis of analyzing the concept and types of new energy, the necessity of transformation and upgrading of new energy industry is discussed. The new energy consumption data from 2010 to 2020 and China’s GDP data are selected as the basic data, and the MS-VAR model is used as the base model for the empirical analysis. The model combines the Markov zone transition model and the autoregressive model, which is suitable for analyzing non-linear problems. The results of the empirical analysis show that the new energy transition is an important way to promote new energy consumption, and it plays a role in promoting the balanced development of China’s economic growth. Combining the results of the empirical analysis, this paper gives suggestions related to the new energy transition from the institutional, economic and technological perspectives.

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Section: Methods Design New Energy Concept and Classificationmentioning

confidence: 99%

Empirical analysis of the role of new energy transition in promoting china’s economy

Liu

et al. 2022

Front. Environ. Sci.

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“…The objective function (6) maximizes the power generation by the plant. The constraint (7) delimits that the sum of the turbined outflow of the GUs is equal to the turbined outflow of the plant. The constraint (8) is the nonlinear nonconvex HPF related to the UG j.…”

Section: The Plant-based Hydro Production Functionmentioning

confidence: 99%

“…In systems whose design adopts a loose-pool dispatch, the GS models are tools primarily used to maximize the expected revenue associated with energy trading in spot and future markets [2,3]. On the other hand, in the case of markets with centralized dispatch, i.e., the tight-pool, an independent system operator employs a chain of GS models to minimize the expected operating cost, considering some risk-measure [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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Continuous Piecewise Linear Approximation of Plant-Based Hydro Production Function for Generation Scheduling Problems

Abreu

Finardi

2022

Energies

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An essential challenge in generation scheduling (GS) problems of hydrothermal power systems is the inclusion of adequate modeling of the hydroelectric production function (HPF). The HPF is a nonlinear and nonconvex function that depends on the head and turbined outflow. Although the hydropower plants have multiple generating units (GUs), due to a series of complexities, the most attractive modeling practice is to represent one HPF per plant, i.e., a single function is built for representing the plant generation instead of the generation of each GU. Furthermore, due to the computation time constraints and representation of nonlinearities, the HPF must be given by a piecewise linear (PWL) model. This paper presented some continuous PWL models to include the HPF per plant in GS problems of hydrothermal systems. Depending on the type of application, the framework allows a choice between the concave PWL for HPF modeled with one or two variables and the nonconvex (more accurate) PWL for HPF dependent only on the turbined outflow. Basically, in both PWL models, offline, mixed-integer linear (or quadratic) programming techniques are used with an optimized pre-selection of the original HPF dataset obtained through the Ramer-Douglas-Peucker algorithm. As a highlight, the framework allows the control of the number of hyperplanes and, consequently, the number of variables and constraints of the PWL model. To this end, we offer two possibilities: (i) minimizing the error for a fixed number of hyperplanes, or (ii) minimizing the number of hyperplanes for a given error. We assessed the performance of the proposed framework using data from two large hydropower plants of the Brazilian system. The first has 3568 MW distributed in 50 Bulb-type GUs and operates as a run-of-river hydro plant. In turn, the second, which can vary the reservoir volume by up to 1000 hm3, possesses 1140 MW distributed in three Francis-type units. The results showed a variation from 0.040% to 1.583% in terms of mean absolute error and 0.306% to 6.356% regarding the maximum absolute error even with few approximations.

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“…Hydroelectricity is a clean, efficient, and reliable form of energy whose contribution to greenhouse gas emissions is negligible in comparison with fossil fuels [1,2]. Century-developed hydro turbines and units make the modern huge hydro-power plants generate an amount of electricity among the whole power system [3,4].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear finite‐time control of hydroelectric systems via a novel sliding mode method

Zhang

Ren

Mahmud

et al. 2022

IET Generation Trans & Dist

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A nonlinear finite-time sliding mode control is proposed in this paper for the governing of complex hydroelectric systems with the finite/fixed setting time. The proposed control method is derived from the finite-time stability and sliding mode control theories. The finite settling time is calculated and bounded, not depending on the initial conditions of the system. The solution trajectory of the controlled hydroelectric system can reach the sliding manifold in a fixed settling time, regardless of initial values. Based on the Lyapunov theory, the controlled hydroelectric system also converges to a reference state within the fixed settling time. A simulation of a high-dimensional hydroelectric system verifies the feasibility of the proposed method. In addition, a comparison between the proposed method and the conventional PID method demonstrates the advantages of the proposed method in the shorter settling time and smaller overshoot. The proposed control method allows for the design of a flexible controller and provides an improvement in dynamic performance.

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Long‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration

Cited by 5 publications

References 23 publications

Empirical analysis of the role of new energy transition in promoting china’s economy

Empirical analysis of the role of new energy transition in promoting china’s economy

Continuous Piecewise Linear Approximation of Plant-Based Hydro Production Function for Generation Scheduling Problems

Nonlinear finite‐time control of hydroelectric systems via a novel sliding mode method

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