A load management optimization approach considering economic efficiency and load profile

2014 ◽  
Author(s):  
Wenrong Xu ◽  
Ming Zhou ◽  
Huidong Wang ◽  
Huan Liu
Keyword(s):  
Economic Efficiency ◽  
Load Management ◽  
Optimization Approach ◽  
Load Profile ◽  
Management Optimization

Innovative Hybrid Genetic Algorithms and Line Search Method for Industrial Production Management

2010 ◽  
pp. 142-160 ◽  
Author(s):  
Pandian M. Vasant
Keyword(s):  
Production Management ◽  
Optimization Problems ◽  
Fuzzy Optimization ◽  
Computational Techniques ◽  
Optimization Approach ◽  
Non Linear Programming ◽  
Decision Variables ◽  
Line Search Method ◽  
Non Linear ◽  
Management Optimization

Many engineering, science, information technology and management optimization problems can be considered as non linear programming real world problems where the all or some of the parameters and variables involved are uncertain in nature. These can only be quantified using intelligent computational techniques such as evolutionary computation and fuzzy logic. The main objective of this research chapter is to solve non linear fuzzy optimization problem where the technological coefficient in the constraints involved are fuzzy numbers which was represented by logistic membership functions by using hybrid evolutionary optimization approach. To explore the applicability of the present study a numerical example is considered to determine the production planning for the decision variables and profit of the company.

scholarly journals Energy Management Optimization and Voltage Evaluation for Residential and Commercial Areas

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1811
Author(s):  
Hayder O. Alwan ◽  
Hamidreza Sadeghian ◽  
Sherif Abdelwahed
Keyword(s):  
Smart Grids ◽  
Electric Energy ◽  
Utilization Efficiency ◽  
Load Management ◽  
Electricity Cost ◽  
Different Types ◽  
Service Areas ◽  
Management Techniques ◽  
Management Optimization ◽  
Operation Status

In most smart grids, load management techniques are required to handle multiple loads of several types. This paper studies decentralized demand-side management (DSM) in a grid with different types of appliances in two service areas: one with many residential households, and one bus with commercial customers. Each building runs an individual optimal DSM to reschedule the usage time of its flexible appliances to reduce its electric energy cost at a manageable sacrifice of inconvenience according to the forecasted time-varying electricity price. Using the developed model, we examined the effectiveness of decentralized DSM by comparing its performance on the operation status of the grid in terms of electricity cost saving, rooftop photovoltaic (PV) utilization efficiency, voltage fluctuation, power loss, voltage rises, and reverse power flows, which can easily be seen at the commercial load bus.

scholarly journals Optimization of rule-based energy management strategies for hybrid vehicles using dynamic programming

2021 ◽  
Vol 184 (1) ◽  
pp. 3-10
Author(s):  
Di Zhu ◽  
Ewan Pritchard ◽  
Sumanth Dadam ◽  
Vivek Kumar ◽  
Yang Xu
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Measurement System ◽  
Hybrid Electric Vehicle ◽  
Management Strategies ◽  
Optimization Approach ◽  
Rule Based ◽  
Management Optimization ◽  
Vehicle Test ◽  
Vehicle Dynamic Model

Reducing energy consumption is a key focus for hybrid electric vehicle (HEV) development. The popular vehicle dynamic model used in many energy management optimization studies does not capture the vehicle dynamics that the in-vehicle measurement system does. However, feedback from the measurement system is what the vehicle controller actually uses to manage energy consumption. Therefore, the optimization solely using the model does not represent what the vehicle controller sees in the vehicle. This paper reports the utility factor-weighted energy consumption using a rule-based strategy under a real-world representative drive cycle. In addition, the vehicle test data was used to perform the optimization approach. By comparing results from both rule-based and optimization-based strategies, the areas for further improving rule-based strategy are discussed. Furthermore, recent development of OBD raises a concern about the increase of energy consumption. This paper investigates the energy consumption increase with extensive OBD usage.

scholarly journals Developing a surface water resources allocation model under risk conditions with a multi-objective optimization approach

2020 ◽  
Vol 20 (4) ◽  
pp. 1167-1177
Author(s):  
Mohammad Taghi Aalami ◽  
Vahid Nourani ◽  
Hamid Fazaeli
Keyword(s):  
Water Resources ◽  
Objective Function ◽  
River Basin ◽  
Economic Efficiency ◽  
Programming Approach ◽  
Optimization Approach ◽  
Allocation Model ◽  
Efficiency Loss ◽  
Sustainability Index ◽  
Multi Objective

Abstract One of the major socioeconomic and global sustainability issues is water scarcity, which imperils human survival and regional development. The current study aims to develop a model for allocating water resources more efficiently and equitably. In this regard, a multi-objective programming approach was developed with the first objective of equality of water resource allocation to be maximized, and the second objective of risk to be minimized. The risk considered in this study was the economic efficiency loss risk. For the annual water allocation model, the fluctuation in available water within the river basin is the main source of uncertainty and can result in the corresponding risk of economic efficiency loss. Thus, it is essential to manage the economic efficiency loss risk resulting from uncertainty. To solve the model, the compromise programming (CP) method was used. A sustainability index was also employed to determine the objective function weights. The developed model was applied to the Givi River basin in Iran. From the results, it was found that using the sustainability index is a suitable strategy in the CP method for determining the objective function weights. The results showed that the proposed model can be helpful in water management to allocate water resources.

scholarly journals ANALISIS BIOEKONOMI DAN OPTIMASI PENGELOLAAN SUMBER DAYA IKAN LAYANG DI PERAIRAN KABUPATEN MUNA SULAWESI TENGGARA (Bioeconomic Analysis and Resource Management Optimization of Mackerel Scad in Muna District, South East Sulawesi)

2016 ◽  
Vol 6 (1) ◽  
pp. 13
Author(s):  
Wa Ode Piliana ◽  
Tridoyo Kusumastanto ◽  
. Diniah
Keyword(s):  
Resource Management ◽  
Dynamic Optimization ◽  
Fishing Effort ◽  
Fish Stock ◽  
Optimization Approach ◽  
Economic Optimization ◽  
Estimation Model ◽  
Economic Management ◽  
Fish Resources ◽  
Management Optimization

<p>ABSTRACT<br />The resource utilization of mackerel scad (Decapterus spp.) has been increasing in Muna waters which will be able to reduce the fish stock and if it exceeds the carrying capacity, it will lead to "overfishing". This study aims to determine the level of production, fishing effort and the optimal economic chain, both biologically and economically, so that the management of fish resources in Muna waters can be carried out in a sustainable way. The study was conducted by the case study method. The analysis method used in this research is biotechnic; bioeconomy; static and dynamic optimization apprOAch of Walter-Hilbon (WH) estimation model. The results of the study provide an indicator that the mackerel scad in Muna waters has not experienced "overfishing" both biological and economic. MEY condition that is optimal for economic management will be achieved when the maximum effort as many as 213.734 trips, production amounted to 3.117,61 tons and maximum economic chain at IDR 33.434,41 billion. The amount of fishing effort in MSY condition within the model is 248.342 trips whereas the production amounted to 3.179,35 tons with the economic chain of IDR 32.557,81 billion. Results of biotechnic, bioeconomy, static and dynamic optimization showed that actual production is still below the sustainable production indicated by high production, effort and economic chain. Based on this analysis, the business effort of mackerel scad can be increased from the current fishing effort of 128.496 trips to 213.734 trips that will give the maximum economic chain and management of fish resources sustainably.</p><p><br />Keywords: bioeconomic, economic optimization, mackerel scad, resource management</p><p>-------</p><p><br />ABSTRAK</p><p>Pemanfaatan sumber daya ikan layang (Decapterus spp.) yang meningkat di perairan Kabupaten Muna dapat menurunkan stok ikan layang dan apabila melebihi daya dukung, maka akan menyebabkan terjadinya “overfishing”. Penelitian ini bertujuan untuk menentukan tingkat produksi, upaya tangkap dan rantai ekonomi yang optimal, baik secara biologi dan ekonomi, sehingga pengelolaan sumber daya ikan layang di perairan Kabupaten Muna dapat dilaksanakan secara berkelanjutan. Penelitian dilakukan dengan metode studi kasus. Metode analisis yang digunakan dalam penelitian ini adalah analisis bioteknis, bioekonomi, optimasi statik dan dinamik menggunakan pendekatan model estimasi Walter-Hilbon (W-H). Hasil penelitian memberikan indikator bahwa ikan layang di perairan Kabupaten Muna belum mengalami “overfishing” baik secara biologi (biological overfishing) dan ekonomi (economic overfishing). Dalam kondisi MEY yang merupakan pengelolaan ekonomi optimal, terestimasi effort sebanyak 213.734 trip, produksi sebesar 3.117,61 ton dan rantai ekonomi maksimum yakni Rp 33.434.410.000. Jumlah effort dalam kondisi MSY adalah 248.342 trip, produksi sebesar 3.179,35 ton dan rantai ekonomi sebesar Rp 32.557.810.000. Hasil analisis bioteknis, bioekonomi, optimasi statik dan dinamik menunjukkan produksi aktual masih berada di bawah nilai produksi lestari baik dari produksi, effort dan rantai ekonomi. Berdasarkan analisis tersebut, effort usaha ikan layang dapat ditingkatkan dari upaya aktual sebesar 128.496 trip menjadi 213.734 trip yang akan memberikan rantai ekonomi maksimum dan pengelolaan sumber daya ikan layang secara lestari.</p><p><br />Kata kunci: bioekonomi, optimasi ekonomi, pengelolaan sumber daya, ikan layang</p>

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