| 1. |
- Steen, David, 1983, et al.
(författare)
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Impact assessment of wind power and demand side management on day-ahead market prices
- 2015
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Ingår i: IEEE PES Innovative Smart Grid Technologies Conference Europe. - : IEEE Computer Society. ; 2015-January:January
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Konferensbidrag (refereegranskat)abstract
- This paper provides an approach to investigate the impacts of wind power (WP) and demand side management (DSM) on the day-ahead electricity market prices. A market model incorporating demand scheduling has been developed for the study, to assess whether there are any mutual economic benefits between WP and scheduling of electric heating demand. A case study performed on a representative Nordic system with a scenario for future WP development in the Nordic electricity market has been carried out. The study results show that DSM could reduce the revenue for the WP producers, up to 2%. On the other hand, WP could result in reduced heating cost, up to 10%, for the customers. However, with an objective of reducing the total system cost, customers in some areas could experience an increase in electricity price even after providing their flexible demand to the market.
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| 2. |
- Arafat, Yasir, 1985, et al.
(författare)
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Experience from real tests on multiple smart meter switching
- 2015
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Ingår i: IEEE PES Innovative Smart Grid Technologies Conference Europe. ; 2015-January
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Konferensbidrag (refereegranskat)abstract
- Smart Meters (SMs) offer remote switching functionalities to the Distribution System Operators (DSOs). The DSO can switch the breaker of the SM of any customer remotely whenever needed. The DSOs are currently applying this technique for customers typically one by one when customers are changing their addresses or when contracts are terminated. The breaker functionalities of the SMs could be used for multiple customers, thereby opening up new possibilities to balance electricity consumption and production. How the technology has been functioning in practice has, however, not been fully investigated with regard to multiple SM switching. In this paper, the experience from real tests on simultaneous multiple SM switching is presented. The tests have been conducted to observe the effect of SM switching on power quality (PQ). Power Quality Meters (PQMs) had been used both at the substation as well as the customer level to measure the PQ during SM switching. This paper presents the results by showing current measurements during switching ON and OFF of multiple SMs belonging to each substation.
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| 3. |
- Arafat, Yasir, 1985, et al.
(författare)
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Field test on multiple Smart Meter switching to study the effect on power quality at customers level
- 2015
-
Ingår i: 2015 IEEE Eindhoven PowerTech, PowerTech 2015. - : IEEE conference proceedings. - 9781479976935
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Konferensbidrag (refereegranskat)abstract
- Smart Meters (SMs) are undergoing an increasing deployment all over the world and have been introduced to several regions. The SMs generally have remotely accessible breakers which offer remote switching functionalities to the Distribution System Operators (DSOs). The DSOs have the possibility of using this unique functionality of SMs for various future applications, e.g., switching some loads during peak loads crisis or outage management during natural disasters. Under these conditions, the DSO can disconnect selected customers by using SM switching while continuing power supply to risk customers and emergency service providers. During multiple SM switching, the power quality (PQ) of the connected loads might be affected. This paper presents results on the impact of multiple SM switching at customer level. Data are used from a field test on multiple SM switching from a DSO in Sweden. The number of customers in this test was higher compared to the previous two tests of the work. Moreover, all customers in the selected test area were not switched in this test. Almost half of the customers in the test area were disconnected remotely using SMs while the other half of the customers remained connected with power supply to investigate the impact of SMs switching in a different way. This work observed some transient events during the SMs switching. Voltage quality was stable during the test except some flickering effects beyond the limit.
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| 4. |
- Arafat, Yasir, 1985, et al.
(författare)
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On Possibilities of Using Smart Meters for Emergency Grid Management : Analysing the Effect on Power Quality
- 2015
-
Ingår i: 2015 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA). - 9781509012374
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Konferensbidrag (refereegranskat)abstract
- Electricity grids worldwide are continuing to be severely constrained and stretched to capacity. Certain grid conditions e.g., peak load crisis or loss of generation may lead to severe under frequency situations. Load shedding can then be useful to prevent the national grid from being overwhelmed. Typically, load shedding is done from medium voltage substation level and all customers including emergency service providers under that substation lose power. However, it is beneficial for a society to exclude emergency service providers from load shedding. Smart Meters (SMs) are generally equipped with remotely accessible switch which gives a unique opportunity to exclude prioritized customers during emergency load shedding. Distribution System Operators (DSOs) are currently using remote SM switching typically for one customer at a time. However, the SM switching technique has not been fully investigated with regard to multiple customers. In order to fulfill the gap, this paper presents results obtained from field tests on simultaneous multiple SMs switching with a main focus on the impact of multiple SMs switching on Power Quality (PQ). The results show that impact on PQ might be negligible for small number of SMs switching. Moreover, faster SMs switching and reliable communication system is found as an important prerequisite to use SMs for emergency load shedding.
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| 5. |
- Arafat, Yasir, 1985, et al.
(författare)
-
Possibilities of demand side management with Smart Meters
- 2015
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Ingår i: International Conference on Electricity Distribution, CIRED 2015.
-
Konferensbidrag (refereegranskat)abstract
- There are problems with congestion during peak electricity demand periods for today’s grid infrastructure. As the demand has been sharply increasing day by day, the power reserve, as it is designed today, may be gradually phased out. Demand side management (DSM) can then be necessary to keep balance between the demand and the supply. By using Smart Meters (SMs), the Distribution System Operator (DSO) can manage the demand side during peak load crisis and decrease the risk of blackouts. The SM may allow the DSO to switch loads in an area using a customer’s prioritize list, while excluding emergency service providers and critical customers from switching. Moreover, switching multiple SMs at a time might have impact on the Power Quality (PQ) of the grid. This paper presents results from field test on multiple SMs switching and investigated the impact of SMs switching on the PQ of the electricity grid.
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| 6. |
- Arafat, Yasir, 1985, et al.
(författare)
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Remote switching of multiple smart meters and steps to check the effect on the grid's power quality
- 2014
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Ingår i: 2014 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2014; Chicago; United States; 14 April 2014 through 17 April 2014. - 2160-8563. - 9781479936557 ; , s. Art. no. 6863273-
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Konferensbidrag (refereegranskat)abstract
- The traditional electrical grid is transitioning into the Smart Grid (SG) and the introduction of Smart Meter (SM) is a first stage towards Smart Grid. The SM can offer new functionalities such as remote reading, automatic event reporting and the possibility of remote switching by the Distribution System Operator (DSO). The DSO can send remote signal to the breaker of the SM to disconnect or connect customers. This could be used when customers are moving or do not have a contract. DSO is currently applying this technique regularly for customers but one by one which do not affect the grid's power quality remarkably. But this technique has never been applied for multiple customers at a time in a single neighborhood and the possible effect on the grid's power quality is still unknown. This condition is studied in this paper through test scenarios which have already been planned to test. This paper presents necessary steps of remote SM switching for a large number of customers. Power quality standards and steps for measuring power quality during the tests are outlined. Possible risks of the test as well as the probability of occurring risk and also the consequences of those risks are studied in this paper.
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| 7. |
- Babu, Sajeesh, 1987-, et al.
(författare)
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Analyses of Smart Grid Technologies and Solutions from a System Perspective
- 2015
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Ingår i: Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE Innovative. - : IEEE conference proceedings. - 9781509012374 ; , s. 1-5
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Konferensbidrag (refereegranskat)abstract
- This paper consolidates the data, analysis andobservations from a case study conducted in cooperation withthe Smart Grid Gotland project. The analysis identifies howelectrical power consumption interacts with distributedelectricity generation such as wind and solar power andpresents how it correlates to weather data and smart gridsolutions. The analysis model developed based on the Gotlandnetwork is generic and hence can be functional in investigatingother power networks of different size, voltage level andstructures. The key observations from the study of smart gridsolutions such as dynamic load capacity and energy storagesolutions are specified. Based on the project, an overview offuture risks and opportunities of smart grid systems is presented.
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| 8. |
- Balram, Pavan, 1986, et al.
(författare)
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Centralized charging control of plug-in electric vehicles and effects on day-ahead electricity market price
- 2015
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Ingår i: Plug In Electric Vehicles in Smart Grids. - Singapore : Springer. - 9789812873163 - 9789812873170 ; 88, s. 267-299
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Bokkapitel (refereegranskat)abstract
- Global policy targets to reduce greenhouse gas emissions have led to increased interest in plug-in electric vehicles (PEV) and their integration into the electricity network. Existing electricity markets, however, are not well suited to encourage direct participation of flexible demand from small consumers such as PEV owners. The introduction of an aggregator agent with the functions of gathering, aggregating, controlling and representing the energy needs of PEV owners in the electricity market could prove useful in this regard. In this chapter, a mathematical model of PEV aggregator for participation in the day-ahead electricity market is described. The modeling is done by treating each of the individual vehicle batteries as a single large battery. The centralized charging and discharging of this battery is then scheduled based on the traveling needs of the PEV owners determined by an aggregated driving profile and the cumulative electrical energy needs of vehicles over the optimization horizon. Two methods for scheduling PEV demand named as joint scheduling method (JSM) and aggregator scheduling method (ASM) are presented. The two methods are subsequently used to observe the effects of introducing flexible scheduling of PEVs on the day-ahead market price in an IEEE test system and a Nordic test system. Results from the IEEE test system case studies will indicate that the scheduling of PEV energy through direct centralized control at high PEV penetration levels of 50 % or greater could lead to potential lowering of day-ahead market prices as compared to an indirect control method such as the use of fixed period charging. Results from the Nordic test system case study shows that controlled scheduling of PEV demand could lead to only a small increase in day-ahead market price of electricity.
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| 9. |
- Balram, Pavan, 1986, et al.
(författare)
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Stochastic Model of Electricity Retailer Incorporating Aggregated Electric Vehicle Charging Uncertainty
- 2013
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- This paper is a short version of a conference paper published at International Conference on European Energy Market (EEM), 28-31 May 2013, Stockholm, Sweden. It propose a model of an electricity retailer considering a future scenario where controlled charging of an aggregate of electric vehicles (EV) becomes a viable option. The retailer plans for purchase of electricity from the spot market while hedging its risks in the financial market, specifically the forward market. In a planning environment where the retailer has to make decisions for purchase of forward contracts ahead of spot market clearing, it faces uncertainties from spot market prices and customer demand. A stochastic programming approach with a financial risk measure is used to take into consideration the uncertainties described. A case study using the model is performed, the results of which indicate that EV customers and the retailer would benefit monetarily with increasing penetration of electric vehicles. The studies consecutively show that this is also the case when increasing fraction of customers opting for variable price contracts.
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| 10. |
- Bangalore, Pramod, 1983, et al.
(författare)
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An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings
- 2015
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Ingår i: IEEE Transactions on Smart Grid. - 1949-3053 .- 1949-3061. ; 6:2, s. 980-987
-
Tidskriftsartikel (refereegranskat)abstract
- Gearbox has proven to be a major contributor toward downtime in wind turbines. The majority of failures in the gearbox originate from the gearbox bearings. An early indication of possible wear and tear in the gearbox bearings may be used for effective predictive maintenance, thereby reducing the overall cost of maintenance. This paper introduces a self-evolving maintenance scheduler framework for maintenance management of wind turbines. Furthermore, an artificial neural network (ANN)-based condition monitoring approach using data from supervisory control and data acquisition system is proposed. The ANN-based condition monitoring approach is applied to gearbox bearings with real data from onshore wind turbines, rated 2 MW, and located in the south of Sweden. The results demonstrate that the proposed ANN-based condition monitoring approach is capable of indicating severe damage in the components being monitored in advance.
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