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introduction advantages features system operators betta sem interface contact unit commitment and economic dispatch software to optimise the short-term scheduling and longer-term planning of electrical power generation introduction electricity generating companies and power system operators have the problem of deciding how best to meet the varying demand for electricity, which has a daily and weekly cycle as well as some longer-term issues. their short-term optimisation problem is how to schedule generation to minimise the total fuel cost, or to maximise the total profit, over a study period of typically a day, subject to a large number of constraints that must be satisfied. in the longer term, an electricity company needs to purchase fuel and/or trade fuel and power contracts and satisfy any emission constraints it may have. if an electricity company has responsibility for satisfying the demand for electricity, then its most important short-term constraint is that the total generation must equal the forecast demand in each time-interval (which is typically 30 or 60 minutes long). alternatively, a generating company in a deregulated electricity market may not need to match its demands exactly, but it will have to decide at what prices to offer its generating plant to the market at different times of the day. there are two related short-term optimisation problems , 'unit commitment' and 'economic dispatch'. unit commitment is the process of deciding when and which generating units at each power station to start-up and shut-down. economic dispatch is the process of deciding what the individual power outputs should be of the scheduled generating units at each time-point. unit commitment is a very challenging optimisation problem, because of the astronomical number of possible combinations of the on and off states of all the generating units in the power system over all the time-points in the study period. for planning purposes, the same optimisation problems need to be solved over a longer study period, such as a year, in order to allocate resources in the most effective way. power optimisation is an independent consultancy, which develops unit commitment software called powerop for electricity companies. this software considers both unit commitment and economic dispatch simultaneously , which improves the quality of the calculated generation schedules. power optimisation has another software application called planner , which automates repeated runs of powerop to cover a longer study period. planner is able to optimise whilst taking into account longer-term issues such as fuel contracts and emission limits, and it also allows for both scheduled maintenance overhauls and random breakdowns of generating units. powerop can be used by power system operators to schedule and dispatch the generating units in their power systems, to produce very high quality generation schedules that take into account all the important constraints on the power system and on the generating units. the software has a number of features that are suitable for the particularly difficult problems faced by the operators of power systems on islands. powerop is being used for self-scheduling by some major generating companies under the british electricity trading and transmission arrangements (betta) in the british electricity market. the software is also being used to forecast system marginal prices and the usage of generating plant and fuels in the single electricity market (sem) in ireland. advantages back to top powerop is based on a proprietary solution algorithm developed by power optimisation, which is a multi-stage version of the mixed integer linear programming (milp) method . this has the following advantages: the generation schedule produced by powerop is always feasible , that is it satisfies all the defined constraints provided the data are self-consistent. if the data or constraints are not self-consistent and a feasible solution does not exist, the less important constraints are relaxed automatically so that a usable schedule is still produced. the generation schedules produced are better than those that can be found manually or by 'priority-order' methods, leading to large savings in annual fuel costs and higher annual profits . a wide variety of constraints and plant types can be modelled , including complicated scheduling constraints, non-linear cost curves, energy-limited plant, power-purchase agreements and emission constraints. it is relatively easy and quick to introduce new constraints and features and to modify powerop as circumstances change. powerop is robust to changes in operating conditions and relative fuel costs , because no prior assumptions are made about the nature of the solution. as a result of using a proprietary multi-stage version of the milp method, powerop finds very good feasible schedules much faster than if it were to use the standard milp method. it does, however, have an option to use the standard milp method for comparison purposes. for long-term planning purposes, the use of powerop together with its associated application planner means that long-term optimisation is combined with a very accurate model of short-term generator scheduling . this makes their results much more realistic than those from the approximate models that are often used for such purposes. this also means that there is no mismatch between short-term generator schedules and longer-term plans. features back to top the objective of the optimisation is to minimise the total fuel costs over the study period whilst satisfying the appropriate constraints. alternatively , the objective of the optimisation can be to maximise 'profit' , defined as the total revenue from electricity sales minus fuel costs. the study period is divided into time-intervals chosen by the user, which are usually half-hourly or hourly (but longer or shorter time-intervals can also be used). for most power systems, study periods of up to a week with half-hourly time-intervals can be solved to good accuracy by powerop within an acceptable run time. for very large power systems and / or longer study periods, planner can be used to automatically perform repeated linked powerop studies which can optimise limited resources over the long-term. since planner uses powerop, all the following discussion applies equally to both programs (unless otherwise stated). powerop and planner take into account any combination of the following features and constraints of the power system being modelled: types of generating units back to top the software can model the operation of both thermal and hydro-electric generating units and of electricity contracts with other companies. thermal generating units can include coal-fired, oil-fired, gas-fired and nuclear-powered steam turbines, and combustion turbines burning distillate (which are often called gas turbines). thermal units can also include dual-fired generating units, which can use one of two alternative fuel types. the software can model and optimise the use of mixtures of different fuels and/or gas contracts in the same generating unit or group of units. the hydro-electric units can include conventional hydro units and pumped storage units. gas-fired units and hydro-electric units are treated as energy-limited plant . upper or lower energy limits may also be applied to other types of generating units and may be used, for example, to represent limited fuel supplies or take or pay contracts. system constraints back to top the total output of all the generating units must be equal to the forecast value of the system demand at each time-point. the penalty for not doing so is set by the user, so this constraint may be made hard or soft, depending on the users requirements. the total spinning-reserve from all the generating units must be greater than or equal to the spinning-reserve requirement of the system. this can be a fixed requirement in megawatts (mw), a specified per

URL analysis for powerop.co.uk

http://www.powerop.co.uk/#top
http://www.powerop.co.uk/#advantages
http://www.powerop.co.uk/#introduction
http://www.powerop.co.uk/#interface
http://www.powerop.co.uk/#contact
http://www.powerop.co.uk/#features
http://www.powerop.co.uk/#sem
http://www.powerop.co.uk/#betta

Whois Information

Whois is a protocol that is access to registering information. You can reach when the website was registered, when it will be expire, what is contact details of the site with the following informations. In a nutshell, it includes these informations;

Domain name:
powerop.co.uk

Registrant:
Peter Kelen and Sarah Ann Kelen

Trading as:
Power Optimisation

Registrant type:
UK Partnership

Registrant's address:
24 Woodside Avenue
Beaconsfield
Buckinghamshire
HP9 1JJ
United Kingdom

Data validation:
Nominet was able to match the registrant's name and address against a 3rd party data source on 10-Dec-2012

Registrar:
Elite Limited t/a Elite [Tag = ELITEUK]
URL: http://www.elite.net.uk

Relevant dates:
Registered on: 15-Apr-1999
Expiry date: 15-Apr-2019
Last updated: 08-Feb-2018

Registration status:
Registered until expiry date.

Name servers:
dns01.eliteukserve.net
dns02.eliteukserve.net
dns03.eliteukserve.net

WHOIS lookup made at 15:46:34 16-Mar-2018

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  REFERRER http://www.nominet.org.uk

  REGISTRAR Nominet UK

SERVERS

  SERVER co.uk.whois-servers.net

  ARGS powerop.co.uk

  PORT 43

  TYPE domain

OWNER

  ORGANIZATION Peter Kelen and Sarah Ann Kelen

TYPE
UK Partnership

ADDRESS
24 Woodside Avenue
Beaconsfield
Buckinghamshire
HP9 1JJ
United Kingdom
Data validation:
Nominet was able to match the registrant's name and address against a 3rd party data source on 10-Dec-2012

DOMAIN

  SPONSOR Elite Limited t/a Elite [Tag = ELITEUK]

  CREATED 1999-04-15

  CHANGED 2018-02-08

STATUS
Registered until expiry date.

NSERVER

  DNS01.ELITEUKSERVE.NET 217.68.241.1

  DNS02.ELITEUKSERVE.NET 217.68.242.1

  DNS03.ELITEUKSERVE.NET 217.68.243.1

  NAME powerop.co.uk

DISCLAIMER
This WHOIS information is provided for free by Nominet UK the central registry
for .uk domain names. This information and the .uk WHOIS are:
Copyright Nominet UK 1996 - 2018.
You may not access the .uk WHOIS or use any data from it except as permitted
by the terms of use available in full at http://www.nominet.uk/whoisterms,
which includes restrictions on: (A) use of the data for advertising, or its
repackaging, recompilation, redistribution or reuse (B) obscuring, removing
or hiding any or all of this notice and (C) exceeding query rate or volume
limits. The data is provided on an 'as-is' basis and may lag behind the
register. Access may be withdrawn or restricted at any time.

  REGISTERED yes

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