Modified Differential Evolution Algorithm: A Novel Approach to Optimize the Operation of Hydrothermal Power Systems while Considering the Different Constraints and Valve Point Loading Effects

Nguyen, Thang Trung; Quynh, Nguyen Vu; Duong, Minh Quan; Đại, Lê Văn

doi:10.3390/en11030540

Cited by 29 publications

(20 citation statements)

References 53 publications

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“…In order to utilize the system for a specific site with the given objective functions and constraints, the system can be optimized by taking account of more factors related to electrical power distribution systems presented by Nguyen et al [11] and Duong et al [10].…”

Section: Discussionmentioning

confidence: 99%

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Waste Heat and Water Recovery System Optimization for Flue Gas in Thermal Power Plants

et al. 2019

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Fossil-fueled power plants present a problem of significant water consumption, carbon dioxide emissions, and environmental pollution. Several techniques have been developed to utilize flue gas, which can help solve these problems. Among these, the ones focusing on energy extraction beyond the dew point of the moisture present within the flue gas are quite attractive. In this study, a novel waste heat and water recovery system (WHWRS) composed of an organic Rankine cycle (ORC) and cooling cycles using singular working fluid accompanied by phase change was proposed and optimized for maximum power output. Furthermore, WHWRS configurations were analyzed for fixed water yield and fixed ambient temperature, covering possible trade-off scenarios between power loss and the number of stages as per desired yields of water recovery at ambient temperatures in a practical range. For a 600 MW power plant with 16% water vapor volume in flue gas at 150 °C, the WHWRS can produce 4–6 MWe while recovering 50% water by cooling the flue gas to 40 °C at an ambient temperature of 20 °C. Pragmatic results and design flexibility, while utilizing single working fluid, makes this proposed system a desirable candidate for practical application.

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Section: Discussionmentioning

confidence: 99%

“…The power produced by several heat recovery and renewable technologies are generally on a small scale and variable. Investigations are also being conducted to utilize the harvested power by using smart and efficient grid and electrical distribution systems which can reduce the power loss at the consumer end [10,11].…”

Section: Introductionmentioning

confidence: 99%

Waste Heat and Water Recovery System Optimization for Flue Gas in Thermal Power Plants

et al. 2019

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“…This section will present how the SOS programming technique can be utilized for the LF construction and ROA estimation of the GSS analysis. The developed SOS program will be implemented in SOSTOOLs (Prajna et al, 2002), which is a toolbox for MATLAB and works as the interface and interpreter for translating formulated SOS problems into semidefinite programs (SDP), where the latter can be solved by various SDP solvers (Lieven and Boyd, 1996). To better illustrate this method applied to the GSS analysis, Lyapunov stability and its SOS program will be introduced first in a generic sense.…”

Section: Sos Programming Technique-based Roa Estimation Of the Gss Anmentioning

confidence: 99%

Synchronizing Stability Analysis and Region of Attraction Estimation of Grid-Feeding VSCs Using Sum-of-Squares Programming

Zhang

Molinas

et al. 2020

Front. Energy Res.

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Grid-synchronizing Stability (GSS) is an emerging issue related to grid-feeding voltage-source converters (VSCs). Its occurrence is primarily related to the non-linear dynamics of a type of vastly applied synchronization unit-Phase-locked Loops (PLL). Dynamic characterization and modeling for the GSS analysis can be achieved using a simplified system model, which is a second-order and autonomous non-linear equation, but with the presence of an indefinite damping term. As revealed and demonstrated in this work, this indefinite damping effect can result in an inaccurate Region-of-Attraction (ROA) estimation of the traditional Equal Area Principle (EAP)-based method. To overcome this issue and achieve a valid ROA estimation, this paper adopts the sum-of-squares (SOS) programming technique, which is a numeric optimization method with SOS relaxations. The development and implementation of the SOS program for ROA estimation are presented. Numerical case studies and time-domain verifications demonstrate that this method is valid for GSS analysis, and an almost precise estimation is achieved in the first quadrant. This evidence makes the SOS method a promising tool for GSS analysis because the GSS problem is most concerned with the stability within the first swing cycle, i.e., in the first quadrant.

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“…In our paper, there are only 22 data columns for each industry. For this reason, after considering other methods for uncertain qualitative systems [57,58], we decided to adopt the GM (1, 1) model. The software environment in which we use this approach is the Data Processing System.…”

Section: Gm (1 1) Forecasting Modelmentioning

confidence: 99%

Analyzing and Forecasting Energy Consumption in China’s Manufacturing Industry and Its Subindustries

2018

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In the context of new industrialization, the energy problem being experienced by the manufacturing industry has aroused social concerns. This paper focuses on the energy use of 27 subindustries in China’s manufacturing industry and it develops an energy consumption index for 1994–2015. Subsequently, the method of grey relational analysis is used, with the full period divided according to years in which change points occur. The empirical analysis indicates that the energy consumption indexes generally exhibit a declining trend. Using the grey model (GM (1,1)) to forecast the index indicates a continued downward trend up to 2025 for energy-intensive industries, which is a more optimistic scenario than the trend forecast for the whole manufacturing sector. Thus, these energy-intensive industries do not drag down the performance of the whole manufacturing industry in regard to energy intensity. In future, more attention should be paid to energy-saving efforts by nontraditional high-energy-consuming industries. Although the results show that energy efficiency is improving in China, total annual consumption is rising rapidly. Therefore, the industry needs to continue to strengthen independent innovation and improve the efficiency of new energy use. The Chinese government should formulate feasible long-term plans to encourage enterprises to save energy.

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Modified Differential Evolution Algorithm: A Novel Approach to Optimize the Operation of Hydrothermal Power Systems while Considering the Different Constraints and Valve Point Loading Effects

Cited by 29 publications

References 53 publications

Waste Heat and Water Recovery System Optimization for Flue Gas in Thermal Power Plants

Waste Heat and Water Recovery System Optimization for Flue Gas in Thermal Power Plants

Synchronizing Stability Analysis and Region of Attraction Estimation of Grid-Feeding VSCs Using Sum-of-Squares Programming

Analyzing and Forecasting Energy Consumption in China’s Manufacturing Industry and Its Subindustries

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