Operation optimization of electrical-heating integrated energy system based on concentrating solar power plant hybridized with combined heat and power plant

Li, Xin; Gui, De; Zhao, Zhangfei; Li, Xinyu; Wu, Xian; Hua, Yawen; Guo, Ping; Zhong, Hao

doi:10.1016/j.jclepro.2020.125712

Cited by 73 publications

(19 citation statements)

References 22 publications

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“…If the load is increased at this point, the voltage will collapse and cause system instability [20]. The load active power margin and the relative VSM are defined as Equation (1) and Equation (2), respectively. max 0…”

Section: Vsmmentioning

confidence: 99%

“…. , 1/p) and stores the importance (mean decrease in impurity) of the p features as v (1) 1) ). For iterations k = (2, .…”

Section: Iteratively Reweighted Rfmentioning

confidence: 99%

“…Static voltage stability is a crucial issue for the secure operation of power systems, since major power outage incidents around the world have been associated with it [1][2][3]. This issue not only causes huge economic losses but also has an unpredictable impact on the lives of people and on industrial production.…”

Section: Introductionmentioning

confidence: 99%

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A Data-Driven and Data-Based Framework for Online Voltage Stability Assessment Using Partial Mutual Information and Iterated Random Forest

et al. 2021

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Due to the rapid development of phasor measurement units (PMUs) and the wide area of interconnection of modern power systems, the security of power systems is confronted with severe challenges. A novel framework based on data for static voltage stability margin (VSM) assessment of power systems is presented. The proposed framework can select the key operation variables as input features for the assessment based on partial mutual information (PMI). Before the feature selection procedure is completed by PMI, a feature preprocessing approach is applied to remove redundant and irrelevant features to improve computational efficiency. Using the selected key variables, a voltage stability assessment (VSA) model based on iterated random forest (IRF) can rapidly provide the relative VSM results. The proposed framework is examined on the IEEE 30-bus system and a practical 1648-bus system, and a desirable assessment performance is demonstrated. In addition, the robustness and computational speed of the proposed framework are also verified. Some impact factors for power system operation are studied in a robustness examination, such as topology change, variation of peak/minimum load, and variation of generator/load power distribution.

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Section: Vsmmentioning

confidence: 99%

“…. , 1/p) and stores the importance (mean decrease in impurity) of the p features as v (1) 1) ). For iterations k = (2, .…”

Section: Iteratively Reweighted Rfmentioning

confidence: 99%

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A Data-Driven and Data-Based Framework for Online Voltage Stability Assessment Using Partial Mutual Information and Iterated Random Forest

et al. 2021

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“…With the joint production of heat and electricity at HPPs, to assess the efficiency of the work, it is proposed to use the specific consumption of equivalent fuel for the joint production of both types of energy [15]. The analysis of this method showed its insufficient consistency due to the impossibility of a clear determination of the shares of the total fuel consumption for the production of electricity and heat.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…The performed analysis [14][15][16][17][18] convinces of the relevance of a comprehensive assessment of efficiency for improving the circuit design and technological characteristics of such systems and the absence of a tool to ensure its implementation.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Improvement of methods of comprehensive assessment of the operation efficiency of centralized heat supply systems in municipal heat power engineering

Kozlov

Kovalchuk

Klymchuk

et al. 2021

EEJET

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The possibility of a comprehensive assessment of the efficiency of the operation of a district heating system based on the indicator of the overall efficiency of the equipment OEE (overall equipment efficiency) and its extension to the system as a whole is considered. The disunity of the direction of existing approaches in assessing the efficiency of operation of district heating systems does not allow a comprehensive assessment of the overall efficiency of the functioning of the technological sequence of the entire system. It is proposed to consider efficiency as the probability of full functioning of all elements of the heat supply system. It is shown that the heat output of the boiler house is proportional to the power consumption of the boiler house and is approximated by a periodic function. It is shown that the main element of the heat supply system, which determines its efficiency, is the heat-generating source. As a result of the study, it is determined that the efficiency of the heat-generating source functioning increases as the maximum value of its efficiency is reached. Numerical modeling has shown that the flexible use of the installed heat generator capacity contributes to an increase in the efficiency factor from 0.53 to 0.70 and the overall efficiency of the heat supply system can be increased by more than 30 %. When designing a boiler house, it was recommended to provide for the installation of capacities with gradation 1; 0.5; 0.25. It is shown that the OEE indicator allows one to characterize the efficiency of both the heat supply system as a whole and its individual components, and can be used in the design and analysis of the operation of systems

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Application of chaotic quasi‐oppositional whale optimization algorithm on CHPED problem integrated with wind‐solar‐EVs

Paul

Roy

Mukherjee

2021

Int Trans Electr Energ Syst

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Summary In this article, a newly developed chaotic quasi‐oppositional whale optimization algorithm (CQOWOA) is employed to analyze the combined heat and power economic dispatch (CHPED) problem for the first time. In the suggested algorithm, chaotic quasi‐oppositional learning is imposed with a whale optimization algorithm (WOA) to enhance its convergence rate and reduce the generation cost. In this work, wind energy, solar energy, and electric vehicles (EVs) are scheduled with CHPED and developed in the proposed system for minimizing the expected generation cost. In the vehicle‐to‐grid system, EVs play a vital role, enabling to provide bidirectional power flow. The primary focus of the proposed CHPED scheduling is to optimize power generation cost by fulfilling various constraints. The presence of transmission losses and valve point effect of the thermal unit along with the uncertainty of wind, solar, and EVs introduce nonlinearity. Several optimization techniques have been studied for this proposed system to judge the effectiveness of the present optimization technique. The CQOWOA has been tested on 7‐unit, 24‐unit, and 48‐unit CHPED systems to validate its superiority. The study of the proposed system is extended further by incorporating two wind units. In addition, the proposed algorithm is tested on a large and complicated CHPED system scheduling with two wind units, one solar unit, and one EV unit. A comparison has been made based on a convergence profile and statistical results of the CQOWOA with WOA, gravitational search algorithm, to analyze the performance of the proposed algorithm. Moreover, to validate the robustness of the suggested CQOWOA approach, 30 IEEE CEC‐2020 benchmark functions are considered and the outcomes are compared with quasi‐oppositional WOA (QOWOA), chaotic WOA (CWOA), WOA, and two top performing algorithms, namely, hybrid levy particle swarm variable neighborhood search optimization and improved cellular univariate marginal distribution algorithm with normal‐Cauchy distribution.

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Operation optimization of electrical-heating integrated energy system based on concentrating solar power plant hybridized with combined heat and power plant

Cited by 73 publications

References 22 publications

A Data-Driven and Data-Based Framework for Online Voltage Stability Assessment Using Partial Mutual Information and Iterated Random Forest

A Data-Driven and Data-Based Framework for Online Voltage Stability Assessment Using Partial Mutual Information and Iterated Random Forest

Improvement of methods of comprehensive assessment of the operation efficiency of centralized heat supply systems in municipal heat power engineering

Application of chaotic quasi‐oppositional whale optimization algorithm on CHPED problem integrated with wind‐solar‐EVs

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