Heterogeneous Communication Architecture to Enable Demand Response Management for the Smart Grid

2013 ◽  
Vol 760-762 ◽  
pp. 652-655
Author(s):  
Zhong Wei Sun
Keyword(s):  
Optical Networks ◽  
Demand Response ◽  
Energy Supply ◽  
Energy Demand ◽  
Supply And Demand ◽  
Electrical Energy ◽  
Communication Technologies ◽  
Wireless Sensor ◽  
Communication Architecture ◽  
Home Area

Demand response entails the control of the energy demand and loads during critical peak situations to achieve a balance between electrical energy supply and demand. A robust communication infrastructure, which consists of network components of Home Area Networks (HANs) and Neighborhood Area Networks (NANs) is the touchstone to achieve the demand response goals. This paper surveys existing communication technologies that can be adopted for demand response applications. A heterogeneous communication architecture based on Wireless Sensor Networks (WSNs) and Ethernet Passive Optical Networks (EPONs) is presented, and the reliability and scalability requirements of communication system is satisfied.

Russian Energy Sector: Inertia Strategy or Efficiency Strategy?

2007 ◽  
pp. 104-122 ◽  
Author(s):  
I. Bashmakov
Keyword(s):  
Economic Growth ◽  
Energy Supply ◽  
Energy Demand ◽  
Supply And Demand ◽  
Energy System ◽  
Or Efficiency ◽  
Russian Economy ◽  
Oriented Energy ◽  
The Given ◽  
Scenario Approach

The paper presents a vision of Russian energy future before 2020. The scenario approach is required to identify potential energy supply and demand future trajectories for Russia facing uncertainties of both global energy system evolution and domestic demographic and economic development in 2007-2020. It allows for assessing energy demand by sectors under different investment, technological and energy pricing policies favoring the least cost balancing of energy supply options and energy efficiency improvements to sustain dynamic economic growth. The given approach provides grounds for evaluation of different energy policies effectiveness. Three scenarios - "Inertia Strategy", "Energy Centrism", and "Efficiency Strategy - Four I" - integral-innovative-intellectual-individual oriented energy systems - are considered in the paper. It shows that ignorance of the last scenario escalates either energy shortages in the country or Russian economy overloading with energy supply investments both preventing from sustaining rates of economic growth which have recently been demonstrated by Russia.

Study on Region Energy Allocation under Carbon Emission Constraints: Base on Analysis of Carbon Pinch

2014 ◽  
Vol 977 ◽  
pp. 149-154
Author(s):  
Hong Yu ◽  
Jun Feng Wang ◽  
Lei Hu
Keyword(s):  
Energy Supply ◽  
Energy Demand ◽  
Carbon Emission ◽  
Supply And Demand ◽  
Clean Energy ◽  
Energy Allocation ◽  
Energy Utilization ◽  
Practical Significance ◽  
Energy Structure ◽  
Regional Energy

Energy Supply and demand, and carbon emission constraints are the problems that must be considered in the process of rapid economic development by national and every province. Under the constraints of energy supply and demand, and carbon emissions, there has practical significance to rational allocate regional energy utilization. With carbon pinch method, this paper research the energy allocation of Tianjin, establish analysis model. Considering the overall and regional energy demand and carbon emission constraints, to determine the usage amount of every kind of fossil energy and clean energy, in order to achieve the best energy structure and optimal balance between energy supply and demand. To provide scientific evidence for local government to make reasonable energy supply and carbon emission constraint index.

scholarly journals Assessing the impact of demand response programs on the reliability of the Ghanian distribution network

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248012
Author(s):  
Ernestina M. Amewornu ◽  
Nnamdi I. Nwulu
Keyword(s):  
Renewable Energy ◽  
Total Energy ◽  
Demand Response ◽  
Power Distribution ◽  
Energy Demand ◽  
Supply And Demand ◽  
Distribution Network ◽  
Distribution Networks ◽  
Diesel Generator ◽  
The Impact

The balancing of supplied energy to energy demand is often very challenging due to unstable power supply and demand load. This challenge causes the level of performance of distribution networks to be lower than expected. Research has however, shown the role of demand response (DR) on the performance of power networks. This work investigates the influence of DR, in the presence of incorporated renewable energy, on technical loss reduction, reliability, environment, energy saved and incentives paid to consumers with the help of PSAT and AIMMS software. Results from simulation have shown that the introduction of renewable energy into a Ghanaian distribution network coupled with implementing the proposed DR improves total energy supply by 9.8% at a corresponding operation cost reduction of 72.79%. The GHG and technical loss reduced by 27.26% and 10.09% respectively. The total energy saving is about 105kWh and 5,394.86kWh, for domestic and commercial loading profiles, respectively. Incentives received by consumers range between 45.14% and 58.55% more than that enjoyed, without renewable energy, by domestic and commercial consumers. The utility benefit also increased by 76.96% and 67.31% for domestic and commercial loads than that without renewable energy. Network reliability improves with implementation of DR. However, the reliability of a grid-connected network is better with a diesel generator only than with the integration of renewable energy. The power distribution companies, therefore, need to consider the implementation of incentive-based demand response program.

scholarly journals Modeling and Optimizing Energy Supply and Demand in Home Area Power Network (HAPN)

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 2052-2072 ◽  
Author(s):  
Daud Mustafa Minhas ◽  
Georg Frey
Keyword(s):  
Energy Supply ◽  
Supply And Demand ◽  
Power Network ◽  
Home Area

scholarly journals Assessment of Flexibilisation Potential by Changing Energy Sources Using Monte Carlo Simulation

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 711 ◽  
Author(s):  
Heiko Dunkelberg ◽  
Maximilian Sondermann ◽  
Henning Meschede ◽  
Jens Hesselbach
Keyword(s):  
Monte Carlo ◽  
Energy Supply ◽  
Energy Demand ◽  
Control Algorithm ◽  
Electrical Energy ◽  
Renewable Energies ◽  
Energy Sources ◽  
Load Curve ◽  
Positive Direction ◽  
Heat System

In the fight against anthropogenic climate change, the benefit of the integration of fluctuating renewable energies (wind and photovoltaics) into the electricity grid is a widely proved concept. At the same time, a fluctuating and decentralised supply of energy, especially at lower voltage levels, leads to a local discrepancy in the power balance between generation and consumption. A possible solution in connection with demand side management is the grid-oriented flexibilisation of energy demand. The present study shows how the use of an innovative hybrid-redundant high-temperature heat system (combined heat and power (CHP), power-to-heat system (PtH), gas boiler) can contribute to a flexibilisation of the electrical energy demand of plastics processing companies. In this context, the flexibilisation potential of a company is to be understood as the grid-related change of the energy supply through a change of the energy sources within the framework of the process heat supply. For this purpose, an omniscient control algorithm is developed that specifies the schedule of the individual system components. A sensitivity analysis is used to test the functionality of the control algorithm. Determination of the electrical flexibilisation potential is carried out via a comprehensive simulation study using Monte Carlo methods. For this purpose, the residual load curves of four characteristic distribution grids with a high share of renewable energies as well as heat load profiles of injection moulding machines are taken into consideration. A frequency distribution provides information on the electrical flexibilisation potential to be expected depending on the various combinations. The evaluation is carried out using a specially introduced logic, which identifies grid-relevant changes in the company's power consumption as flexibilisation potential based on a reference load curve. The results show that a reliable energy supply for production is possible despite flexibilisation. Depending on the grid under consideration, there are differences in the exploitation of the potential, which essentially depends on the installed renewable capacity. Depending on the scenario under consideration, an average of up to 1486 kWhel can be shifted in a positive direction and 1199 kWhel in a negative direction.

scholarly journals A Novel Smart Energy Management as a Service over a Cloud Computing Platform for Nanogrid Appliances

2020 ◽  
Vol 12 (22) ◽  
pp. 9686
Author(s):  
Bilal Naji Alhasnawi ◽  
Basil H. Jasim ◽  
Maria Dolores Esteban ◽  
Josep M. Guerrero
Keyword(s):  
Energy Management ◽  
Power Factor ◽  
Demand Response ◽  
Energy Demand ◽  
Smart Cities ◽  
Residential Buildings ◽  
Electrical Energy ◽  
Base Station ◽  
Smart Devices ◽  
Demand Response Programs

There will be a dearth of electrical energy in the world in the future due to exponential increase in electrical energy demand of rapidly growing world population. With the development of Internet of Things (IoT), more smart appliances will be integrated into homes in smart cities that actively participate in the electricity market by demand response programs to efficiently manage energy in order to meet this increasing energy demand. Thus, with this incitement, the energy management strategy using a price-based demand response program is developed for IoT-enabled residential buildings. We propose a new EMS for smart homes for IoT-enabled residential building smart devices by scheduling to minimize cost of electricity, alleviate peak-to-average ratio, correct power factor, automatic protective appliances, and maximize user comfort. In this method, every home appliance is interfaced with an IoT entity (a data acquisition module) with a specific IP address, which results in a wide wireless system of devices. There are two components of the proposed system: software and hardware. The hardware is composed of a base station unit (BSU) and many terminal units (TUs). The software comprises Wi-Fi network programming as well as system protocol. In this study, a message queue telemetry transportation (MQTT) broker was installed on the boards of BSU and TU. In this paper, we present a low-cost platform for the monitoring and helping decision making about different areas in a neighboring community for efficient management and maintenance, using information and communication technologies. The findings of the experiments demonstrated the feasibility and viability of the proposed method for energy management in various modes. The proposed method increases effective energy utilization, which in turn increases the sustainability of IoT-enabled homes in smart cities. The proposed strategy automatically responds to power factor correction, to protective home appliances, and to price-based demand response programs to combat the major problem of the demand response programs, which is the limitation of consumer’s knowledge to respond upon receiving demand response signals. The schedule controller proposed in this paper achieved an energy saving of 6.347 kWh real power per day, this paper achieved saving 7.282 kWh apparent power per day, and the proposed algorithm in our paper saved $2.3228388 per day.

scholarly journals Energy Development: A Need for Vision and Statesmanship

1974 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
George A. Bevan
Keyword(s):  
Policy Development ◽  
Energy Supply ◽  
Energy Demand ◽  
Supply And Demand ◽  
The United States ◽  
Petroleum Products ◽  
Energy Development ◽  
Energy Resources ◽  
The World ◽  
Resource Policy

Energy demand the world over is increasing, and one of the consequences of this increased demand is raging debate on energy resources, development, and usage. This article examines the various sources of energy supply (such as coal, hydro-electric power, petroleum products, etcj and the energy demand requirements in (I) the world, (2) the United States, and (3) Canada, and then discusses the long-range implications of such supply and demand requirements against energy—proven and potential. The author then discusses the problem of resource policy development in Canada today, and in so doing, covers such issues as resource availability; capital requirement; pricing; exporting of energy; etc. Finally, the author proposes framework for the achievement of national consensus on energy development and usage for Canada.

scholarly journals Efficient Energy Management of IoT-Enabled Smart Homes Under Price-Based Demand Response Program in Smart Grid

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3155 ◽  
Author(s):  
Ghulam Hafeez ◽  
Zahid Wadud ◽  
Imran Ullah Khan ◽  
Imran Khan ◽  
Zeeshan Shafiq ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Energy Management ◽  
Demand Response ◽  
Energy Demand ◽  
Smart Cities ◽  
Residential Buildings ◽  
Electrical Energy ◽  
Binary Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Cost Of Electricity

There will be a dearth of electrical energy in the prospective world due to exponential increase in electrical energy demand of rapidly growing world population. With the development of internet-of-things (IoT), more smart devices will be integrated into residential buildings in smart cities that actively participate in electricity market via demand response (DR) programs to efficiently manage energy in order to meet this increasing energy demand. Thus, with this incitement, an energy management strategy using price-based DR program is developed for IoT-enabled residential buildings. We propose a wind-driven bacterial foraging algorithm (WBFA), which is a hybrid of wind-driven optimization (WDO) and bacterial foraging optimization (BFO) algorithms. Subsequently, we devised a strategy based on our proposed WBFA to systematically manage the power usage of IoT-enabled residential building smart appliances by scheduling to alleviate peak-to-average ratio (PAR), minimize cost of electricity, and maximize user comfort (UC). This increases effective energy utilization, which in turn increases the sustainability of IoT-enabled residential buildings in smart cities. The WBFA-based strategy automatically responds to price-based DR programs to combat the major problem of the DR programs, which is the limitation of consumer’s knowledge to respond upon receiving DR signals. To endorse productiveness and effectiveness of the proposed WBFA-based strategy, substantial simulations are carried out. Furthermore, the proposed WBFA-based strategy is compared with benchmark strategies including binary particle swarm optimization (BPSO) algorithm, genetic algorithm (GA), genetic wind driven optimization (GWDO) algorithm, and genetic binary particle swarm optimization (GBPSO) algorithm in terms of energy consumption, cost of electricity, PAR, and UC. Simulation results show that the proposed WBFA-based strategy outperforms the benchmark strategies in terms of performance metrics.

scholarly journals Estimating the balance between pasture feed supply and demand of grazing livestock in a farmlet experiment

2013 ◽  
Vol 53 (8) ◽  
pp. 711 ◽  
Author(s):  
L. M. Shakhane ◽  
J. M. Scott ◽  
G. N. Hinch ◽  
D. F. Mackay ◽  
C. Lord
Keyword(s):  
Energy Balance ◽  
Soil Fertility ◽  
Energy Supply ◽  
Energy Demand ◽  
Supply And Demand ◽  
Grazing Management ◽  
Net Energy ◽  
Stocking Rate ◽  
Rates Of Change ◽  
Grazing Livestock

Data from the Cicerone farmlet study were used to quantify the balance between pasture feed supply and the demand from grazing livestock, in terms of metabolisable energy (ME), on three differently managed farmlets (each of 53 ha) on the Northern Tablelands of New South Wales, Australia. Farmlet A had a high level of pasture renovation and higher soil fertility than the other two farmlets and employed flexible grazing management over eight paddocks. Farmlet B was designed to represent management ‘typical’ of the region and had the same grazing management and number of paddocks as farmlet A but moderate levels of pasture renovation and soil fertility. The third farmlet (C) had the same level of inputs as farmlet B but practised intensive rotational grazing over 37 paddocks. Regular measurements of the feed supply, namely herbage mass and quality, pasture growth and supplement fed and of feed demand were assembled to provide monthly estimates of the balance between feed supply and animal demand of all classes of livestock run on the experiment over its duration of 6.5 years. The significantly greater stocking rate, liveweight and reproductive rate of sheep reached on the higher input system (farmlet A) meant higher levels of ME were required to satisfy the nutritional demands of these animals. As only limited measurements were taken of animal intake, it was assumed that the supply of ME was derived from pasture growth and supplement fed. Using key livestock management dates and measurements of liveweights, the changes in the energy requirements of each class of animal were calculated and aggregated to provide an estimate of overall livestock energy demand over time. Subtracting the energy demand from the estimated energy supply provided a partial net energy balance. Measurements of the rates of change of green herbage during grazing events were found to be highly dependent on stock density with farmlets A, B and C recording rates of change of up to –50, –30 and –200 green DM/ha.day, respectively. Over a series of generally drier-than-average years, the ME supplied in pasture growth and through supplementation was at times inadequate to meet the energy demands of the livestock, resulting in periods during winter when the partial energy balance became negative. Similar feed deficits were observed for all three farmlets, suggesting that they were over-stocked to a similar extent. In spite of the divergence in the stocking rate supported by each farmlet, the similarity of the ME balances between farmlets suggests that no farmlet was subjected to bias because of decisions relating to feed supply and demand. The analyses presented suggest there is considerable potential for practical paddock and grazing management to be improved if more timely and regular assessments can be made of changes in the feed energy supply using satellite images of normalised difference vegetation indices and feed energy demand using calculations of the ME required by grazing livestock.

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