Solver-Based Mixed Integer Linear Programming (MILP) Based Novel Approach for Hydroelectric Power Generation Optimization

Kumar, Jasvinder; Khalil, Ihsan Ullah; Ul-Haq, Azhar; Perwaiz, Aqib; Mahmood, Khalid

doi:10.1109/access.2020.3024727

Cited by 10 publications

(5 citation statements)

References 22 publications

(28 reference statements)

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“…To solve the problem by the linear programming methodology, the solver tool of the excel program was specifically used . It was solved by the simplex method as this method solves such problems (appendix 1, appendix 2) [3,19]. Data for the study area were also used for irrigation, fertilization, working hours (labor), and land use.…”

Section: Linear Programming For Crop Distribution/managementmentioning

confidence: 99%

WITHDRAWN: Crop management and distribution by linear programming method using the Excel software for planning the agricultural production

Fytilis,

Karaouzas

2023

Preprint

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The need for appropriate crop management/distribution to increase the economic yield of crops is a major challenge for farmers. Linear programming is a mathematical model that solves such problems with great success for the purpose of crop maximization or minimization. In this study the method of linear programming is used in Sperchios river basin to increase crop efficiency and consequently to increase the economic returns of the crops by maximizing crop mass. Several constraints are taken into account, which determines the final result (e.g. fertilization requirements, irrigation, labor, land use). The main objective is to evaluate the distribution of crops in the study area and the use of the historical constraint, a constraint that is being introduced for the first time. Then a comparison is made of the results obtained from the use and non-use of the historical constraint (in combination with the other constraints). The method used is that of linear programming. In particular, by using the software excel uses the solver tool that solves linear problems. Currently, in the Sperchios river basin 26 crops are being cultivated. If the historical constraint is included, the number of crops remain 26. Otherwise, the optimal solution suggests the exploitation of 6 crops. Also, depending on the constraints , the needs for irrigation, fertilization, labor and land use differ. The excel software suggested the optimal solution to obtain the maximum crop yield considering certain constraints. Thus, we conclude that linear programming can be used as a decision support making – a decision support system (DSS) in crop management.

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Section: Linear Programming For Crop Distribution/managementmentioning

confidence: 99%

WITHDRAWN: Crop management and distribution by linear programming method using the Excel software for planning the agricultural production

Fytilis,

Karaouzas

2023

Preprint

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“…Identifying and qualifying this behaviour is not an easy task instead they are reected back in the driver's action while driving. These actions could be recorded in the form of vehicle's /driver's kinematic data like over speeding, acceleration/deceleration, jerk, tailgating, lane change variation, etc [11]. Few researchers in their respective study have highlighted and indicated these kinematic parameters (speed, acceleration/deceleration, and jerk) to be an important parameter in identifying aggressive behaviour.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy Probabilistic Approach to Identify Driving Behavior of Two-Wheeler Drivers Under Mixed Traffic Conditions

Kumar Kushwaha,

Shinde,

Anil Kumar

2024

IEEE Access

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The identication and analysis of aggressive driving behaviour are crucial for enhancing road safety and preventing potential hazards on the roads. By closely examining patterns of aggressive behaviour, such as speeding and sudden lane changes, authorities can implement targeted interventions to mitigate risks and implement eective strategies for promoting safer driving habits and reduce the occurrence of aggressive driving incidents. Towards this, the present study comprehensively analyzes aggressive driving behaviour by leveraging the concepts of probabilistic theory and fuzzy set algorithms, which oer a powerful framework for modelling and analyzing uncertain and imprecise data. For the purpose of analysis, the present study collected naturalistic driving data on three fundamental parameters -speed, acceleration, and jerk, from two-wheeler drivers on a 75 km long study stretch in the vicinity of Patna city, India. By establishing relationships between acceleration, jerk, and speed values, the present study developed regression, classication and fuzzy probabilistic approaches for identifying the aggressive driving behaviour. Based on the ndings obtained from regression methods, it was noted that both random forest regression and decision tree regression methods demonstrated superior accuracy compared to linear regression. Specically, linear regression yielded an R 2 value of 0.08, indicative of subpar performance. Upon implementation of classication methods, it was observed that both decision tree and random forest classication were performing extremely well on identifying the aggressive behaviour with an accuracy of 99.17%, with an F1-score of 0.88. In order to address the dimensionality challenge, Principal Component Analysis (PCA) is employed to reduce the complexity of the problem, followed by the application of Hidden Markov Models (HMM) on the derived variables. The HMM-PCA approach, although limited by insucient data, showed the ability to identify non-aggressive patterns accurately and aggressive behaviour with nearly accurate accuracy. From these results, it can be observed that the proposed approach was able to eciently identify the aggressive driving behaviour. With the help of these insights, specic strategies may be created to lessen the negative consequences of aggressive driving on trac ow control and road safety, ultimately leading to the construction of a more eective and safe transportation system INDEX TERMS Road safety, Aggressive behaviour, Naturalistic driving data, two-wheeler.

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“…At the same time, it is proposed to use the theory of marginal utility as a basis, which, in combination with optimization models, will make it possible to develop the required methodology. With regard to our investigation, water and fuel are considered as products used for generation of the same amount of electricity [17][18][19].…”

Section: Mathematical Model For Determining the Cost Of A Hydro Resou...mentioning

confidence: 99%

“…It should be noted that when constructing the marginal cost curve for hydropower plants, restrictions on the throughput of the turbine and the power of the generator were taken into account. Further, using expression (18), we find the optimal production volumes of the Novosibirsk HPP for each season of the year. The calculation results are summarized in Table 3.…”

Section: Uvmentioning

confidence: 99%

“…Methodologies for solving optimization problems in the case of HPP cascades are significantly complicated and not fully studied [5][6][7][8][9][10][11][12]. The reason for this was the absence in the 1970s-1980s of the necessary powerful automation tools required for solving such problems [13][14][15][16][17][18]. At present, when dealing with big data, and when decisionmaking is facilitated for a decision maker by the availability of appropriate super-powerful computing technologies, this problem has been solved [19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

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Models of Optimal Operating Modes of the Water-Economic Complex on the Basis of Hydro Resource Price Evaluation

et al. 2022

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The purpose of this article is to solve the problem of determining the cost of a water resource for the participants of thewater-economiccomplex (WEC) on the basis of the optimal control of hydro power plants’ (HPP) functioning, taking into account their regime characteristics and requirements. In this work, a universal method, which combines an optimization method and a method for assessing marginal utility, was proposed to assess the cost of the hydro resource and control the operating modes of the WEC.The method developed by the authors involves the use of water balance, the adequate representation of the incremental rate characteristicand the determination of the cost of the hydro resource for thecontrol of the operating modes of the WEC and HPP. Using the example of the Novosibirsk WEC, as well as HPPs and TPPs,an assessment of theenergy efficiency, proposing the concept of a developed methodology for determining the price of water for HPPs and all participants in the WEC, will be obtained. Based on the results of the implementation of the developed approach at Novosibirsk HPPs, theelectricity sales pricecompetitive electricity market can be matched with the electricity sales price generated at TPP, which will be approximately0.16¢/kW * h.

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Solver-Based Mixed Integer Linear Programming (MILP) Based Novel Approach for Hydroelectric Power Generation Optimization

Cited by 10 publications

References 22 publications

WITHDRAWN: Crop management and distribution by linear programming method using the Excel software for planning the agricultural production

WITHDRAWN: Crop management and distribution by linear programming method using the Excel software for planning the agricultural production

Fuzzy Probabilistic Approach to Identify Driving Behavior of Two-Wheeler Drivers Under Mixed Traffic Conditions

Models of Optimal Operating Modes of the Water-Economic Complex on the Basis of Hydro Resource Price Evaluation

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