Minimizing the electricity cost of coordinating houses on microgrids

Author(s):  
Mohamed Arikiez ◽  
Faisal Alotaibi ◽  
Salahedin Rehan ◽  
Wesam Rohouma
Keyword(s):  
2020 ◽  
Vol 67 (2) ◽  
pp. 44-50
Author(s):  
Vadim E. Bolshev ◽  
Aleksandr V. Vinogradov ◽  
Alina V. Vinogradova ◽  
Aleksey V. Bukreev ◽  
Aleksandr A. Lansberg

During the functioning of power supply system, there can be situations where the culprit in interruptions of power supply to consumers and a power quality violation is a power supply company or a consumer himself. Therefore, the economic incentive for power supply companies and consumers to increase power supply reliability and power quality is an urgent task. To implement such incentives, it is necessary to control the facts and time of power supply outages and their values as well as cases and time of non-compliance of power quality with the requirements of standards. It is possible with the use of a monitoring system for power supply reliability and power quality. (Research purpose) The research purpose is in developing a technical and economic method for stimulating power supply companies and consumers to increase efficiency of power supply system. (Materials and methods) The article provides a review of the structural diagram of a system for monitoring power supply reliability and power quality including devices for monitoring the number and duration of power outages and voltage deviations. (Results and discussion). An economic method has been developed to stimulate power supply companies and consumers to increase power supply system efficiency. The essence of the method is to control the parameters of power supply reliability and power quality, identify the violation of these parameters, determine the culprit of the violation, determine the time characteristics of the violation, summarize the duration of violations for the reporting period, compare the actual amount of duration with the allowable one, determine the amount of compensation for the violation and impose sanctions on payment compensation by the perpetrators of violations of these parameters. The article presents an algorithm for adjusting the cost of electricity supplied to consumers depending on the number and duration of voltage deviations and the number and duration of outages. The algorithm serves to ensure the operation of the specified technical and economic method. (Conclusions) The algorithm works in conjunction with a system for monitoring power supply reliability and power quality based on signals from devices that control the number and duration of outages and voltage deviations.


2021 ◽  
Vol 13 (12) ◽  
pp. 6753
Author(s):  
Moiz Masood Syed ◽  
Gregory M. Morrison

As the population of urban areas continues to grow, and construction of multi-unit developments surges in response, building energy use demand has increased accordingly and solutions are needed to offset electricity used from the grid. Renewable energy systems in the form of microgrids, and grid-connected solar PV-storage are considered primary solutions for powering residential developments. The primary objectives for commissioning such systems include significant electricity cost reductions and carbon emissions abatement. Despite the proliferation of renewables, the uptake of solar and battery storage systems in communities and multi-residential buildings are less researched in the literature, and many uncertainties remain in terms of providing an optimal solution. This literature review uses the rapid review technique, an industry and societal issue-based version of the systematic literature review, to identify the case for microgrids for multi-residential buildings and communities. The study describes the rapid review methodology in detail and discusses and examines the configurations and methodologies for microgrids.


1997 ◽  
Vol 119 (4) ◽  
pp. 885-892 ◽  
Author(s):  
A. Agazzani ◽  
A. F. Massardo

The aim of this work is to demonstrate the capability of an original “modular” simulator tool for the thermoeconomic analysis of thermal-energy systems. The approach employed is based on the Thermoeconomic Functional Analysis (T.F.A.), which, through definition of the “functional productive diagram” and the establishment of the capital cost function of each component, allows the marginal costs and the unit product costs, i.e., the “internal economy,” of the functional exergy flows to be obtained in correspondence to the optimum point. The optimum design of the system is obtained utilizing a traditional optimization technique, which includes both physical structure of the energy system described in terms of thermodynamic variables and cost model (capital cost of the components, maintenance and amortization factors, unit fuel cost, unit electricity cost, etc.). As an application example to show the practicability of the tool, the thermoeconomic analysis of various complex multipressure combined cycles (with or without steam reheating) is carried out. The results are analyzed and discussed in depth.


2015 ◽  
Vol 16 (6) ◽  
pp. 579-589 ◽  
Author(s):  
Tsubasa Shimoji ◽  
Hayato Tahara ◽  
Hidehito Matayoshi ◽  
Atsushi Yona ◽  
Tomonobu Senjyu

Abstract From the perspective of global warming suppression and the depletion of energy resources, renewable energies, such as the solar collector (SC) and photovoltaic generation (PV), have been gaining attention in worldwide. Houses or buildings with PV and heat pumps (HPs) are recently being used in residential areas widely due to the time of use (TOU) electricity pricing scheme which is essentially inexpensive during middle-night and expensive during day-time. If fixed batteries and electric vehicles (EVs) can be introduced in the premises, the electricity cost would be even more reduced. While, if the occupants arbitrarily use these controllable loads respectively, power demand in residential buildings may fluctuate in the future. Thus, an optimal operation of controllable loads such as HPs, batteries and EV should be scheduled in the buildings in order to prevent power flow from fluctuating rapidly. This paper proposes an optimal scheduling method of controllable loads, and the purpose is not only the minimization of electricity cost for the consumers, but also suppression of fluctuation of power flow on the power supply side. Furthermore, a novel electricity pricing scheme is also suggested in this paper.


Author(s):  
James Spelling ◽  
Björn Laumert ◽  
Torsten Fransson

A dynamic simulation model of a hybrid solar gas-turbine power plant has been developed, allowing determination of its thermodynamic and economic performance. In order to examine optimum gas-turbine designs for hybrid solar power plants, multi-objective thermoeconomic analysis has been performed, with two conflicting objectives: minimum levelized electricity costs and minimum specific CO2 emissions. Optimum cycle conditions: pressure-ratio, receiver temperature, turbine inlet temperature and flow rate, have been identified for a 15 MWe gas-turbine under different degrees of solarization. At moderate solar shares, the hybrid solar gas-turbine concept was shown to provide significant water and CO2 savings with only a minor increase in the levelized electricity cost.


Author(s):  
Senthil Prabu Ramalingam ◽  
Prabhakar Karthikeyan Shanmugam

Background: The smart grid communication network is constructed with three tiers namely, Home Area Networks (HANs), Neighborhood Area Networks (NANs) and Wide Area Networks (WANs). These networks function with various communication protocols like table protocol, on-demand protocol, Wi-Fi, Zigbee, Z-Wave, Wi-MAX, GSM, LTE, Cognitive Radio Networks. The network interconnection is heterogonous and all appliances have to communicate through the IP gateways. A large amount of data is collected from various sensors placed in different locations. The analytics on large data- “big data” is essential because these data were used to organize and plan an efficient control and management of the smart home including secured data exchange in different sectors. Objective: This paper investigates broadly on data rate, channel bandwidth, power consumption, and a coverage range of both wired and wireless communication technologies used in residential buildings. Besides, a literature survey on optimization algorithms with various constraints to manage home appliances through scheduling is included. The paper also discusses the communication standards along with security and privacy requirements for smart metering networks. Conclusion: Discussion on IEEE standards for both wired and wireless communication protocols. Gives direction to identify the suitable communication technique through mathematical model for computing the communication channel bandwidth. Comparison of various optimization algorithms with multiple constraints in HEMS to achieve the minimum electricity cost and user comfort (with and without Renewable Energy Sources). From the investigation on both wired and wireless networks, the wireless communication networks (Zig-Bee & Wi-Fi) are mostly preferred to use in HAN because of more reliability and low cost. Zigbee is the most appropriate technology used for data transmission between the individual appliances and smart meters. Wi-Fi is a suitable technology for controlling and monitoring appliances because of its high data rate.


2019 ◽  
Vol 11 (22) ◽  
pp. 6287 ◽  
Author(s):  
Aqib Jamil ◽  
Turki Ali Alghamdi ◽  
Zahoor Ali Khan ◽  
Sakeena Javaid ◽  
Abdul Haseeb ◽  
...  

The feature of bidirectional communication in a smart grid involves the interaction between consumer and utility for optimizing the energy consumption of the users. For optimal management of the energy at the end user, several demand side management techniques are implemented. This work proposes a home energy management system, where consumption of household appliances is optimized using a hybrid technique. This technique is developed from cuckoo search algorithm and earthworm algorithm. However, there is a problem in such home energy management systems, that is, an uncertain behavior of the user that can lead to force start or stop of an appliance, deteriorating the purpose of scheduling of appliances. In order to solve this issue, coordination among appliances for rescheduling is incorporated in home energy management system using game theory. The appliances of the home are categorized in three different groups and their electricity cost is computed through the real-time pricing signals. Optimization schemes are implemented and their performance is scrutinized with and without coordination among the appliances. Simulation outcomes display that our proposed technique has minimized the total electricity cost by 50.6% as compared to unscheduled cost. Moreover, coordination among appliances has helped in increasing the user comfort by reducing the waiting time of appliances. The Shapley value has outperformed the Nash equilibrium and zero sum by achieving the maximum reduction in waiting time of appliances.


2009 ◽  
Vol 8 (2) ◽  
pp. 21
Author(s):  
P. Laranci ◽  
J. L. Silveira ◽  
W. Q. Lamas

Photovoltaic energy represents an opportunity to produce electricity in a clean manner. It can be applied in all world places, in particular in the developing countries, where there are places where electricity grids are unreliable or non-existent and is inconvenient to make investments in a grids expansion. In remote locations photovoltaic power supplies often the most economic and cleaner option to produce electric energy. In addition, many developing countries have high radiation levels year round because of their latitude. The software SOLAR 1.1 was developed with purpose of helping the choice of photovoltaic panels available commercially including electric needs calculation for the installation. This new version of program also help to conduce the economic analysis for grid connected or stand alone photovoltaic systems for the choice of convenient values of interest rate and payback period. In this version of the software is possible to select the language among English, Italian and Portuguese. The software choices the panels in its archive that contains more of 250 types of photovoltaic modules made by 35 producers. The selection provides as output three modules, the cheapest for each cell type: monocrystalline, multicrystalline and amorphous. The software archive can be updated adding new item or editing the inserted items. The economic analysis can be operated by SOLAR 1.1 in each of the chosen panels. This analysis gives as output all the values of the costs in the photovoltaic system and the diagrams with the electricity cost and the expected annual saving trend with variation of the amortisation period and for different values of the interest rate and the governmental subsidy rate.


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