scholarly journals Method of Priority Order for Simultaneous Solar-Derived Power Usage at a Solar-Powered House and Neighborhood

2020 ◽  
Vol 14 (6) ◽  
pp. 1013-1024
Author(s):  
Satoko Nasu ◽  
Shota Tajima ◽  
Yasuo Sugai ◽  
◽  
Keyword(s):  
Measurement Data ◽  
Capacity Allocation ◽  
Power Capacity ◽  
Specific Calculation ◽  
Actual Load ◽  
Multi Agent ◽  
Priority Order ◽  
Solar Powered ◽  
Domestic Power ◽  
Surplus Power

An advantage of solar-powered houses is the concurrent generation and consumption of power. However, the simultaneous power consumption of a solar-powered house tends to be lower than its actual load consumption. We aim to design a multi-agent system for exchanging the power value information within a solar-powered house and neighborhood in order to maximize simultaneous solar-derived power usage. This study purposes a priority order to determine the simultaneous solar-derived power usage procedure. Using the measurement data of a next-generation solar-powered house on a sunny day, we evaluate the estimation result of the domestic power balance and analyze the time series of each of the power variabilities. From the result, the three types of power usage are classified, and the four phases of the power capacity allocation are defined. We clarify the specific calculation procedure and indicate the availability of simultaneous solar-derived power usage by finding the optimum combination of the power capacity and the usage volume per hour. Finally, we estimate that the total value of available simultaneous solar-derived power usage is approximately 80% of the capacity in the solar-powered house and four hypothetical neighborhood houses, contributing to a drastic reduction in surplus power.

A multi-agent approach for the capacity allocation problem

2000 ◽  
Vol 66 (3) ◽  
pp. 269-285 ◽  
Author(s):  
Armando Brandolese ◽  
Alessandro Brun ◽  
Alberto Portioli-Staudacher
Keyword(s):  
Capacity Allocation ◽  
Allocation Problem ◽  
Multi Agent

scholarly journals Power Capacity Optimization in a Photovoltaics-Based Microgrid Using the Improved Artificial Bee Colony Algorithm

2020 ◽  
Vol 10 (9) ◽  
pp. 2990 ◽  
Author(s):  
Huijuan Zhang ◽  
Zi Xie ◽  
Hsiung-Cheng Lin ◽  
Shaoyong Li
Keyword(s):  
Artificial Bee Colony ◽  
Capacity Allocation ◽  
High Energy ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Stable Operation ◽  
Power Capacity ◽  
Selection Probability ◽  
Multi Objective ◽  
Bee Colony

Although the combined cooling, heating and power (CCHP) microgrid is feasible for achieving a high energy utilization efficiency, the fluctuation of energy sources, such as a photovoltaic system and multiple loads, may affect the safety, economics and stability in CCHP microgrid operation. For this reason, this paper establishes a mathematical model using a multi-objective optimization mechanism for resolving the influence of economy and energy allocation in the mixed photovoltaic type CCHP microgrid. It is based on analytic hierarchy process (AHP) to determine the individual weight of objective function optimization for the multi-objective power capacity allocation. The improved artificial bee colony (IABC) based on the whale search and dynamic selection probability can achieve an optimization solution, reaching a stable operation state and reasonable capacity configuration in the microgrid system. The performance results confirm that the proposed algorithm is superior to others in both convergence speed and accuracyfor the capacity allocation of the CCHP microgrid.

scholarly journals Solar Powered Dc Nano-Grid with Multi Agent Control Strategy

2019 ◽  
Vol 9 (2S2) ◽  
pp. 971-977
Keyword(s):  
Renewable Energy Sources ◽  
Residential Building ◽  
Smart Homes ◽  
Agent Based ◽  
Comfort Levels ◽  
Central Controller ◽  
Flexible Loads ◽  
Multi Agent ◽  
Solar Powered ◽  
And Storage

Smart homes are typical examples of DC Nano-grids wherein multi-agent strategy is required for coordinating different entities to harness flexible load and storage to maximize the integration of intermittent renewable generation. This paper proposes a novel multi-agent approach for DC Nano-grids in smart homes with an aim to simultaneously maximize comfort levels and renewable integration. In the proposed approach, there are three agents: flexible loads, batteries, and renewable energy sources which interact among them for meeting the control objectives. The agents are coordinated using a centralized controller and based on its decision the flexibility is harnessed to the grid. The novelty of the approach is that the different agents communicate only to the central controller and not among themselves which reduces the communication among them. The advantage of the proposed approach is their ability to handle DC Nano-grids and using an agent-based approach within a residential building. The proposed multi-agent approach is illustrated on a lab-level DC Nano-grids pilot developed by the authors. Our results show that achieves maximum overall energy efficiency and minimum electricity bill and smooth control of various modes of operation.

Multi-Agent Information Interaction Research for Distribution Dispatch Monitoring

2013 ◽  
Vol 791-793 ◽  
pp. 962-966
Author(s):  
Zhi Jian Qu ◽  
Liang Guo ◽  
Hong Ping Ling ◽  
Ge Chen ◽  
Li Liu
Keyword(s):  
Distribution Network ◽  
Measurement Data ◽  
Real Time Processing ◽  
Information Interaction ◽  
Mapping Technology ◽  
Quantity Measurement ◽  
On Line ◽  
Multi Agent ◽  
And Performance ◽  
News Event

In allusion to the transmission difficult difficulties problem of massive monitoring information flow, due to numerous on-line processing points and quick variation of operating parameters in distribution network monitoring dispatching, an new asynchronous processing method for batch information based on multi-agent alliance technology is proposed. Multi-agent alliance Platform is constructed by means of designing JACK software. Then using CIM-mapping technology and news event asynchronous trigger technology, massive data interactive real-time processing is implemented. Taking the monitoring system for 10kV railway distribution network as example, the synchronous interaction and performance tests are carried out for 10000 analog quantities and state quantity measurement data, the transmission interaction processing time is 582.08ms.

scholarly journals Multi-agent System for Management of Data from Electrical Smart Meters

2021 ◽  
Vol 13 (1) ◽  
pp. 18-43
Author(s):  
Yazid Hambally Yacouba ◽  
◽  
Amadou Diabagaté ◽  
Abdou Maiga ◽  
Adama Coulibaly
Keyword(s):  
Data Collection ◽  
Smart Grid ◽  
Data Management ◽  
Measurement Data ◽  
Smart Meter ◽  
Grid System ◽  
Smart Meters ◽  
Central System ◽  
Multi Agent ◽  
Smart Grid System

The smart meter can process sensor data in a residential grid. These sensors transmit different parameters or measurement data (index, power, temperature, fluctuation of voltage and electricity, etc.) to the smart meter. All of these measurement data can come in different ways at the smart meter. The sensors transmit each measurement data to the smart meter. In addition, the collection of this data to a central system is a significant concern to ensure data integrity and protect the privacy of residents. The complexity of these data management also lies in their volume, frequency, and scheduling. This work presents a scheduling and a collection mechanism in private power consumption data between both sensors and smart meters on one hand and between smart meters and the central data collection system on other hand. We have found several approaches to intelligent meter data management in scientific researches. We propose another approach in response to this concern for the scheduling and collection of measurement data to a central system from residential areas of sensors’ network connected to smart meters. This work is also an example of a link between data collection and data scheduling in intelligent information management, transmission, and protection. We also propose a modeling of the measurement objects of smart grid and highlight the changes made to these objects throughout the process of data processing. It should be noted that this smart grid system consists of three main active systems namely sensors, smart meters and central system. In addition to these three systems, there are other systems that communicate with the smart meters and the central system. We have identified three implementation models for the smart metering system. We also present an intelligent architecture based on multi-agent systems for the smart grid. Most current electricity management systems are not adapted to the new challenges imposed by social and economic development in Africa. The objectives of this study are to initiate the design of a smart grid system for the management of electricity data.

scholarly journals Capacity reliability of water distribution systems

2013 ◽  
Vol 16 (3) ◽  
pp. 731-741 ◽  
Author(s):  
J. Vaabel ◽  
T. Koppel ◽  
L. Ainola ◽  
L. Sarv
Keyword(s):  
Power Factor ◽  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Distribution Networks ◽  
Power Capacity ◽  
Hydraulic Power ◽  
Reliability Indicator ◽  
S Factor ◽  
Surplus Power

Hydraulic power capacity of the water distribution network (WDN) is analyzed, and energetically maximum flows in pipes and networks are determined. The concept of hydraulic power for the analysis of WDN characteristics is presented. Hydraulic power capacity characterizes the WDN capacity to meet pressure and flow demands. A capacity reliability indicator called the surplus power factor is introduced for individual transmission pipes and for distribution networks. The surplus power factor s that characterizes the reliability of the hydraulic system can be used along with other measures developed to quantify the hydraulic reliability of water networks. The coefficient of the hydraulic efficiency ηn of the network is defined. A water distribution system in service is analyzed to demonstrate the s and ηn values in the water network in service under different demand conditions. In order to calculate the s factor for WDNs, a network resistance coefficient C was determined. The coefficient C characterizes overall head losses in water pipelines and is a basis for the s factor calculation. This paper presents a theoretical approach to determine the coefficient C through matrix equations.

Metrological support of individual blood glucose meters in telemedicine

2019 ◽  
pp. 52-56
Author(s):  
Yu.F. Glukhov ◽  
N.V. Krutikov ◽  
A.V. Ivanov ◽  
N.P. Muravskaya
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Measurement Data ◽  
Test Method ◽  
Level Measurement ◽  
Measurement Devices ◽  
Real Practice ◽  
Health Care Centers ◽  
Medical Measurement

We have studied and analyzed status and metrological supervision of blood glucose monitors, individual devices for a person’s blood glucose level measurement. It has been indicated that nowadays blood glucose monitors like other individual devices for medical measurement are not allowed to be involved in telemedicine public service. This accounts for absence of metrological supervision with these measurement devices in telemedicine. In addition, the key problem is absence of safe methods and means of remote verificaition, calibration and transmission of measurement data to health care centers. The article offers a remote test method for blood glucose monitors using a number of resistors with values correlating with measured blood glucose level. The available method has been successfully trialed in real practice.

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