International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 05 | May -2017
p-ISSN: 2395-0072
www.irjet.net
ARTIFICIAL BEE COLONY ALGORITHM FOR PROFIT BASED UNIT COMMITMENT USING MODIFIED PRE-PREPARED POWER DEMAND TABLE Kuldip Deka1, Dr. Barnali Goswami2 1M.E.
2Associate
student, Assam Engineering College professor, Dept. of Electrical Engineering, Jorhat Engineering College
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Abstract - The electric power industry has been
economical way. So it is necessary for the utility companies to plan for generation in hourly basis for the whole day. The unit commitment (UC) can be defined as the selection of generating units i.e. start up and shut down arrangement which supply power to the load of the system at a minimum cost over a specified time period as well as providing a fixed amount of reserve, known as spinning reserve. The unit commitment selects units which are to be turned on or turned off and generate the power and the reserve margin for each unit. In general the commitment and the generating arrangement are done on hourly basis. Unit commitment determines the on/off status as well as the active power output of the generator while satisfying the objective function subjects to some constraints. Unit commitment is considered as a standout amongst the most noteworthy optimization task in the operation of energy framework. Unit commitment assumes an imperative part for the financially utilization of energy creating unit in the power framework. There was a general expert to control all exercises of generation, transmission and distribution of power, which is known as vertically integrated market. So it was tough to split the cost involved in generation, transmission and distribution. Since nineties decade the electric power industry has been experiencing a continuous procedure of move and rebuilding. The restructuring procedure includes the detachment of generation, transmission and distribution companies from the vertically integrated utilities, with a central coordinator known as Independent System Operator (ISO) to balance supply and demand in real time and to maintain system reliability and security. The restructuring process has been introduced in all the power activities. In deregulated environment, the unit commitment problem has a different objective that includes the electricity market than that of traditional system. The main objective is to maximize the profit of the individual generating companies i.e. GENCOs and that profit can be found by subtracting the total cost of generation from the revenue. The unit commitment under deregulated environment changes its objective from minimization of the cost to maximization of profit. GENCOs made a schedule which generates power less than the forecasted load demand but create maximum profit.
experiencing a procedure of restructuring since the nineties decade. The restructuring process of electrical power system specifies the splitting of vertically integrated utilities to generation, transmission and distribution companies with a system coordinator known as independent system operator (ISO). Restructuring process leads into a competitive climate among power generation companies. The generation companies i.e. GENCOs plan their generators to maximize profit as opposed to fulfill load demand request. Scheduling of power generations and reserve generations, planning for operation, maintenance etc. are crucial aspects in power system. Unit commitment decision concerns of identifying the units which are to be committed or de-committed during each hour over a specified period, by considering some constraints such as power demand constraint, power generation constraint, reserve constraints, constraints on the startup and shut down of units etc. So, in the profit based unit commitment the main objective is to maximize the profit which can be obtained by subtracting the cost from the revenue rather than minimization of cost as in traditional unit commitment. There are many optimization techniques which can be used for unit commitment problem. Here, Modified Pre-Prepared Power Demand (MPPD) table is used for scheduling of units which are to be committed over the specified period. Artificial Bee Colony (ABC) algorithm is used to solve for the generation of the committed units in each and every hour. The suggested method has been analyzed on a system having 10 units with a scheduling period of 24 hours.
Key Words:
Restructuring process, Competitive climate, Power generation, Reserve generation, Profit based unit commitment, Modified Pre-prepared Power Demand table, Artificial Bee Colony algorithm
1. INTRODUCTION In power system planning, operation, maintenance and scheduling of generation are vital angles. The power demand varies all the day and the load curve shows power demand variation with respect to time during the course of the day. The load pattern of many utilities varies between peak and off peak hours. It is not economical that all the units are on-line for the whole duration. Therefore, there is a problem of Unit Commitment for the generating companies so that they can meet the varying power demand in
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For power industry reliability is an important aspect. There should be provision of backup power for power failure. Therefore reserve generation is included in the unit
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