Determination of optimal location and capacity of distributed generations based on artificial bee colony

Abstract OWA (Ordered Weighted Averaging) is a flexible aggregation operator which is come up with Yager to create a decision function in multi-criteria decision making. It is possible to determine how optimistic or pessimistic the decision maker's opinion with the value obtained from the weights of this operator. The determination of OWA weights cannot provide characterization by itself. If it is desired to aggregate various sized objects in terms of generalization and reusability of OWA weights, a more general form is needed. In this study, we propose the parameterized piecewise linear stress function and the approach to characterize OWA weights. The stress function is expressed by parameters which are obtained by artificial bee colony algorithm. Also the weights are approximately found by using parameters. Keywords – OWA operator, aggregation, artificial bee colony algorithm.

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Performance Optimization LoRa Network by Artificial Bee Colony Algorithm to Determination of the Load Profiles in Dwellings

Energies ◽

10.3390/en13030517 ◽

2020 ◽

Vol 13 (3) ◽

pp. 517 ◽

Cited By ~ 1

Author(s):

A. Cano-Ortega ◽

F. Sánchez-Sutil

Keyword(s):

Data Transmission ◽

Performance Optimization ◽

Smart Grids ◽

Artificial Bee Colony ◽

Demand Forecasting ◽

Data Traffic ◽

Bee Colony ◽

Intelligent Measurement ◽

Home Consumption

This paper presents a system to improve the performance of the Long Range (LoRa) network using an algorithm derived from the artificial bee colony (ABC), which obtains a minimum packet lost rate (PLR) in the LoRa network and allows to more accurately determine load profiles of dwellings, with smaller a time measurement and less data transmission. The developed algorithm calculates the configuration parameters of the LoRa network, monitoring in real time the data traffic, and is implemented in gateway LoRa network monitor (GLNM). Intelligent measurement equipment has been developed to determine the dwelling load profiles. This energy measurement device for dwelling (EMDD) measures the variables and consumption of electricity in each home with measurement times that can be configured. This research also develops the GLNM gateway, which monitors and receives data from the EMDDs installed and uploads them to the cloud using Firebase. This developed system allows to perform demand forecasting studies, analysis of home consumption, optimization of electricity tariffs, etc., applied to smart grids.

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Short-Circuit based Optimal Location, Sizing and Power Factor Determination of Multi Distributed Generations in Radial Distribution Networks

2019 IEEE Region 10 Symposium (TENSYMP) ◽

10.1109/tensymp46218.2019.8971164 ◽

2019 ◽

Author(s):

Sandeep Kumar Das ◽

Supriya Sarkar

Keyword(s):

Radial Distribution ◽

Power Factor ◽

Short Circuit ◽

Distribution Networks ◽

Optimal Location ◽

Distributed Generations ◽

Radial Distribution Networks

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Optimal Non-Convex Combined Heat and Power Economic Dispatch via Improved Artificial Bee Colony Algorithm

Processes ◽

10.3390/pr8091036 ◽

2020 ◽

Vol 8 (9) ◽

pp. 1036

Author(s):

Abbas Rabiee ◽

Mohammad Jamadi ◽

Behnam Mohammadi-Ivatloo ◽

Ali Ahmadian

Keyword(s):

Large Scale ◽

Artificial Bee Colony ◽

Economic Dispatch ◽

Combined Heat And Power ◽

Power Losses ◽

Problem Model ◽

Optimal Dispatch ◽

Bee Colony ◽

Comprehensive Comparison

It is well accepted that combined heat and power (CHP) generation can increase the efficiency of power and heat generation at the same time. With the increasing penetration of CHPs, determination of economic dispatch of power and heat becomes more complex and challenging. The CHP economic dispatch (CHPED) problem is a challenging optimization problem due to non-linearity and non-convexity in both objective function and constraints. Hence, in this paper a novel meta-heuristic algorithm, namely improved artificial bee colony (IABC) algorithm is proposed to solve the CHPED problem. The valve-point effects, power losses as well as the feasible operation region of CHP units are taken into account in the proposed CHPED problem model and the optimal dispatch of power/heat outputs of CHP units is determined via the proposed IABC algorithm. The proposed algorithm is applied on three test systems, in which two of them are large-scale CHPED benchmarks. The obtained results and comprehensive comparison with available methods, demonstrate the superiority of the proposed algorithm for dealing with non-convex and constrained CHPED problem.

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