scholarly journals MODEL OF EVALUATION THE FEASIBILITY OF INDUSTRIAL CUSTOMERS TO HOURLY ACCOUNTING OF RETAIL ELECTRICITY MARKET

2021 ◽  
pp. 88-97
Author(s):  
I. Blinov ◽  
E. Parus ◽  
V. Miroshnyk ◽  
P. Shymaniuk ◽  
V. Sychova
Keyword(s):  
Electricity Market ◽  
Market Price ◽  
Electricity Consumption ◽  
Weighted Average ◽  
Load Schedule ◽  
Main Components ◽  
The Individual ◽  
The Cost ◽  
Daily Load ◽  
Final Consumer

The main differences in pricing and tariffing for industrial consumers of electricity with different forms of electricity metering are considered. Based on the analysis of tariff formation for the final consumer of electricity, components are identified that have a significant impact on the results of solving the problem of assessing the feasibility of the consumer's transition to hourly electricity metering. Such components include the cost of purchasing electricity in the market segment "day ahead" and the cost of accrued imbalances. The relative daily profile of electricity consumption is considered in order to study the influence of the features of the daily load schedule on the weighted average daily market price of electricity. The importance of estimating the cost of daily load profiles when comparing the cost of electricity for the consumer in the group with integrated electricity metering and in terms of individual hourly metering is substantiated. The effect of underestimation of volumes and value of imbalances in the group with integrated electricity metering in comparison with hourly accruals of volumes and value of imbalances is theoretically substantiated. The main components for comparative assessment of the expediency of the consumer's exit from the group with integrated metering of electricity and the transition to its hourly metering according to the individual daily load schedule are identified. Mathematical models for comparative calculations are developed. The use of these models allows to make an economically justified decision on the expediency of the consumer leaving the group without hourly metering of electricity to the model of purchasing electricity with hourly metering. The main approaches to such an assessment are demonstrated on the example of calculations for an industrial enterprise in some regions of Ukraine. Bibl. 15, fig. 3.

scholarly journals Reducing the cost of electricity transmission services of industrial enterprises connected to the electric networks of electric power producers

2021 ◽  
Vol 29 (2) ◽  
pp. 359-383
Author(s):  
Anatoly P. Dzyuba
Keyword(s):  
Electricity Consumption ◽  
Weighted Average ◽  
Electrical Energy ◽  
Average Price ◽  
Electrical Networks ◽  
Electric Networks ◽  
Cost Of Electricity ◽  
Industrial Enterprises ◽  
Transport Component ◽  
The Cost

Reducing the cost of electricity consumption by industrial enterprises is the most important area of increasing the operational efficiency of their activities. The article is devoted to the issue of reducing the cost of paying for the service component of the transport component of purchased electrical energy from industrial enterprises that have technological connection to the electrical networks of electricity producers. The article makes an empirical study of the features of the pricing of payment for the services of the transport component of purchased electrical energy for industrial enterprises connected to the electric grids of electricity producers with the identification of factors influencing the overestimation of the cost of paid electricity, and calculating such overestimations using the example of a typical schedule of electricity consumption of a machinebuilding enterprise for various regions Russia. On the basis of the developed author's indicators (tariff coefficient for electricity transportation by the level of GNP, index of tariff coefficient for electricity transportation, weighted average price for electricity transportation, index of weighted average price for electricity transportation, integral index of efficiency of GNP tariffs) study of the effectiveness of the application of tariffs for the transport of electricity for industrial enterprises connected to the electric networks of electricity producers. Based on the calculated indicators, the article groups the regions into three main groups, with the development of recommendations for managing the cost of purchasing electricity by the component of the cost of the transport component of purchased electricity in each group. As the most optimal option for reducing the cost of electricity transportation, the author proposes the introduction of demand management for electricity consumption, which will reduce the costs of industrial enterprises that pay for the transport component of purchased electricity at unfavorable tariff configurations.

Electricity supplier selection by a household in the Czech Republic in 2017 and 2018 – Monte Carlo simulation approach

2019 ◽  
Author(s):  
Martina Kuncova
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Czech Republic ◽  
Electricity Market ◽  
Electricity Consumption ◽  
Point Of View ◽  
The Czech Republic ◽  
Extra Effort ◽  
The Individual ◽  
Monte Carlo Simulation Model

The situation on the electricity retail market in the Czech Republic is not clear because of the number of suppliers and its products. Although the information about the prices for the electricity consumption for households is available on the web and each household can change the supplier nearly with no extra effort and cost, households are still often not familiar with the individual price items of the products. In this article the analysis of the Czech electricity market from the distribution rate D25d point of view is made for the years 2017-2018 when the household annual consumption is simulated via Monte Carlo simulation model. The aim of this paper is to select such a supplier and product that minimizes the total costs of the electricity for a household for the selected distribution rate and compare it with the results from the previous years.

scholarly journals Development of Optimized Methodology for Improvement Domestic Energy Management

2019 ◽  
Vol 8 (4) ◽  
pp. 5288-5294
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Wind Speed ◽  
Energy Management ◽  
Electrical Energy ◽  
Supply Side ◽  
Demand Side ◽  
Load Schedule ◽  
The Cost ◽  
Daily Load

Electrical energy management (EEM) is an object that has proceeds appointed importance in the 21 th - century in order to its assistance to economic development and ecological ascertainment. “EEM” may be perfected on the supply side “(SS)” or demand side “(DS)”. On the supply side, “EEM” is cultivated when: There is an outgrowth desire “(demand requirement is higher than supply)”. “EEM” assists to suspend the design a resent generation station. On the “DS”, “EEM” is used to minimize the cost of electrical energy consumption and the interrelated forfeitures. The technique utilized for “EEM” is demand side load management that plan at ending valley filling, peak clipping and strategic preservation of electrical systems [1]. Seeming new inventions like “distributed generation (DG)”, “distributed storage (DS)” and “DSLM” will modify the method we use and generate energy. A smart grid (SG) is an electrical network that manages electricity demand in an unstoppable sustainable, reliable and economic manner. A smart grid uses smart net meters to overcome the sickliness of traditional electrical grid. “(DSM)” is a vital advantage of “(SG)” to progress power efficiency, minimize the peak average load and minimize the cost. From basic purposes of DSM is shifting load from peak hours to off-peak hours and reducing consumption during peak hours. Generally, a deregulated grid system is considered where the retailer purchases electricity from the electricity market to cover the end users’ energy need. In this research, Demand Side Management (DSM) techniques (load shifting and Peak clipping) are used to maximize the profit for Retailer Company by reducing total power demand pending peak demand periods and achieve an optimal daily load schedule using linear programming method and Genetic Algorithm. This method is performed on the 69-bus radial network. Also, a short term Artificial Neural Network technique is used to get forecasted wind speed, solar radiation and forecasted users load for date 15-Aug-2019. The neural network here uses an actual hourly load data, actual hourly wind speed and solar radiation data. Then the forecasted data is used in the optimization to get optimal daily load schedule to maximize the profit for Retailer Company. Then comparison between profit using linear programing and genetic algorithm are made. The optimized DSM succeeded to maximize the profits of the company.

scholarly journals Efeito do Incremento da Produção de Energias Renováveis Intermitentes nos Preços da Eletricidade

2021 ◽  
pp. 73-83
Author(s):  
Blandina C. R. Oliveira ◽  
Adelino Fortunato
Keyword(s):  
Renewable Energy ◽  
Electricity Market ◽  
Market Price ◽  
Order Effect ◽  
Retail Market ◽  
Electricity Prices ◽  
Methodological Approaches ◽  
Generation Costs ◽  
The Cost ◽  
Renewable Energy Generation

Despite increasing deployment of intermittent renewable energies at lower generation costs, wholesale electricity price has been falling while retail electricity prices go up. This has triggered the debate on the cost-effectiveness of this source of energy. Therefore, the aim of this paper is to present a literature survey on the effect of intermittent renewable energy generation on electricity prices. Researches have used different methodological approaches, different periods and countries to examine the impacts of intermittent renewable energy on electricity prices. Most of the studies found evidence of the merit-order effect, which means that an increase in intermittent source generation would reduce the spot electricity market price. Finally, the few studies that address the retail market found that retail electricity could either increase or decrease.

scholarly journals ANALYSIS OF THE IMPACT OF THE NEW ELECTRICITY MARKET ON LEVELING THE LOAD SCHEDULE OF THE UNIFIED ENERGY SYSTEM OF UKRAINE

World Science ◽  
2020 ◽  
Vol 1 (2(54)) ◽  
pp. 4-10
Author(s):  
Rozen Viktor ◽  
Velykyi Serhii
Keyword(s):  
Electricity Market ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Energy System ◽  
Energy Market ◽  
Service Companies ◽  
Industrial Enterprises ◽  
Load Schedule ◽  
Energy Service ◽  
The Impact

The article discusses methods of regulating the power consumption regime of the schedule of the unified energy system of Ukraine, which can reduce the irregularity load schedule by using stimulating tariffs for electricity charges. A scheme of the equipment operation principle is shown, which can operate in a mode of consumer-power regulator according to the criterion of reducing electricity charges for industrial enterprises. The result of the energy reform in Ukraine led to the rejection of differentiated electricity tariffs, and the transition to market relations between enterprises that are consumers of electric energy and energy service companies that are responsible for working in the electric energy market. The objective of the article is to demonstrate the practical formation of prices for enterprises and the work of electricity suppliers, which boils down to the ongoing planning of hourly volumes for consumers of electricity and the timely purchase of the said volumes in different segments of the electricity market The aim of the article is to demonstrate the formation of prices for enterprises. The work of energy service companies, which consists in the constant planning of hourly volumes of consumers of electric energy and the timely purchase of these volumes in different segments of the electric energy market. The problem of this formation is that enterprises do not have an incentive to regulating the schedule of the unified energy system of Ukraine, as the new tariffs do not differ in terms of electricity consumption in intraday and а reducе in electricity consumption by the enterprise during peak hours. The authors propose measures that are aimed at solving this problem. The proposed measures are mainly aimed at changes in the day-ahead electricity market, which will entail changes in its other segments.

scholarly journals Development of the latvian energy sector competitiveness system dynamic model

2016 ◽  
Author(s):  
Valerijs Skribans ◽  
Maris Balodis
Keyword(s):  
Electricity Market ◽  
Market Price ◽  
Electricity Consumption ◽  
Energy Sector ◽  
Regulatory Mechanisms ◽  
Energy Requirements ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Market Expansion ◽  
Regional Market

One of the problems of the Latvian economy is related to the energy sector. In this sector the increasing competition is related to regional market expansion, building new transmission connection; fuels and electricity market price conjuncture significant change; energy efficiency requirements increasing, renewable energy requirements increasing and new market regulatory mechanisms. The system dynamics model can solve sector competitiveness problems. With the help of the developed model, it has been estimated that increase in total electricity consumption (around 10%) can be expected in Latvia during the next 10 years. Decline in electricity loss and electricity imports is predicted. Increase of the capacity of production means and the amount of the produced energy is being forecasted.

scholarly journals The future of Swiss hydropower: how to distribute the risk and the profits?

2021 ◽  
Vol 157 (1) ◽  
Author(s):  
Mirjam Kosch ◽  
Regina Betz ◽  
Thomas Geissmann ◽  
Moritz Schillinger ◽  
Hannes Weigt
Keyword(s):  
Electricity Market ◽  
Market Price ◽  
Market Model ◽  
Economic Pressure ◽  
Electricity Prices ◽  
Detailed Design ◽  
Trade Off ◽  
The Difference ◽  
Water Fee ◽  
The Cost

AbstractLow electricity prices put economic pressure on hydropower companies. A more flexible water fee design can counteract this pressure and support hydropower companies during times when market revenues are low. However, this comes at the cost of lower revenues for resource owners. Using a sample of cost data for 62 companies and revenue data derived from an electricity market model, we have quantified this trade-off for the case of Switzerland. We found that electricity market price developments dominate changes in water fees and that for the profitability of hydropower, electricity prices are more important than water fee levels. However, with electricity prices of around CHF 40 per MWh, water fees can make the difference between profit and loss. Therefore, while flexible water fee regimes shift the market risk from producers to resource owners to some extent, the extent of this risk shift depends on the detailed design of the flexible regime.

scholarly journals A Defense of a Thomistic Concept of the Just Price

2012 ◽  
Vol 22 (3) ◽  
pp. 501-526 ◽  
Author(s):  
Daryl Koehn ◽  
Barry Wilbratte
Keyword(s):  
Market Price ◽  
Well Being ◽  
Thomas Aquinas ◽  
Market Exchange ◽  
Material Costs ◽  
Just Price ◽  
The Individual ◽  
The Cost

ABSTRACT:Since St. Thomas Aquinas was one of the first scholastics to analyze the idea of a “just price,” economists, economic historians and philosophers interested in the philosophical underpinnings of the market have focused on Aquinas’s writings. One group insists that Aquinas defined the just price as the payment needed to cover sellers’ labor and material costs. A second camp vehemently counters that Aquinas’s just price is simply the going market price. We argue that neither of these views is correct. The Thomistic just price is the price that would be agreed to by a just person as part of an exchange. This “just person price” takes into account the well-being of the individual transactors and the good of the entire community. Such a price reduces neither to the cost-covering price nor to the market exchange price. A Thomistic concept of the just person price deserves to be reconsidered, especially because a Thomistic approach offers some useful ways to deal with issues quite differently from the popular neoclassical approach directed toward arriving at a socially optimal market price.

scholarly journals A Comparative Study of Pricing Mechanisms to Reduce Side-Payments in the Electricity Market: A Case Study for South Korea

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3395
Author(s):  
Hansol Shin ◽  
Tae Hyun Kim ◽  
Kyuhyeong Kwag ◽  
Wook Kim
Keyword(s):  
Electricity Markets ◽  
Electricity Market ◽  
Market Price ◽  
Production Costs ◽  
Market Participants ◽  
Locational Marginal Pricing ◽  
Side Payments ◽  
Sales Company ◽  
Convex Costs ◽  
The Cost

Under marginal-cost pricing, some generators cannot recover their production costs at the market price due to non-convexities in the electricity market. For this reason, most electricity markets pay side-payments to generators whose costs are not sufficiently recovered, but side-payments present the problem of deteriorating transparency in the market. Recently, convex hull pricing and extended locational marginal pricing have been reviewed or gradually introduced to reduce side-payments. Another method is to include non-convex costs in the market price, which is applied in the Korean electricity market. Although it is not generally considered in the electricity market, the Vickrey auction method is also one of the pricing mechanisms that can reduce side-payments. The main purpose of this study is to analyze the financial impact of these alternative pricing mechanisms on market participants through rigorous simulation. We applied the alternative pricing schemes to the Korean electricity market, and the impacts are analyzed by comparing the cost aspect of an electricity sales company and the profit aspect of generation companies. As a result of the simulation study, each pricing mechanism not only differed in the degree to which side-payments are reduced but also has different effects on the type of generators.

scholarly journals Home Photovoltaic System Design in Pangkalpinang City

2018 ◽  
Vol 31 ◽  
pp. 02006 ◽  
Author(s):  
Wahri Sunanda
Keyword(s):  
System Design ◽  
Electricity Consumption ◽  
Photovoltaic System ◽  
Photovoltaic Systems ◽  
Cost Of Electricity ◽  
Average Value ◽  
Economic Saving ◽  
One Year ◽  
The Cost ◽  
Daily Load

This research aims to obtain the design of home photovoltaic systems in Pangkalpinang and the opportunity of economic savings. The system consists of photovoltaic with batteries. Based on electricity consumption of several houses with installed power of 1300 VA and 2200 VA in Pangkalpinang for one year, the daily load of photovoltaic system is varied to 40%, 30% and 20% of the average value of the daily home electricity consumption. The investment costs, the cost of replacement parts and the cost of electricity consumption accrued to PLN during lifetime of systems (25 years) are also calculated. The result provided that there are no economic saving opportunities for photovoltaic systems with batteries at home with installed power of 1300 VA and 2200 VA in Pangkalpinang. The most economical is the photovoltaic system with the daily load of 20% of the average value of the daily home electricity consumption. The configuration of photovoltaic system for 1300 VA home consists of 10 modules of 200 wattpeak and 4 batteries 150 AH, 12 Volt while photovoltaic system for 2200 VA home consists of 15 modules of 200 wattpeak and 6 batteries 150 AH,12Volt.

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