Article

Long-term hydrothermal scheduling using composite thermal and composite hydro representations

Inst. of Interdisciplinary Eng., Purdue Univ., West Lafayette, IN
IEE Proceedings - Generation Transmission and Distribution (impact factor: 0.48). 04/1998; DOI:10.1049/ip-gtd:19981794 pp.210 - 216
Source: IEEE Xplore

ABSTRACT The paper presents a new long-term, large-scale hydrothermal
production scheduling method. The proposed method uses both composite
hydro and composite thermal representations, based on the monthly or
weekly energy requirement. The method can minimise the thermal
production cost and maximise the hydro production profit. The advantage
of this method is that it uses a more precise cost objective function
considering unit commitment effect. The method can be used by the owners
of independent hydro plants in a region for long-term hydroelectric
scheduling under both deregulation and competition. A case study shows
that the model allocates successfully and efficiently the hydroelectric
resources to the peak demand periods with negligible computation time

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    Article: GENCO's Risk-Constrained Hydrothermal Scheduling
    Lei Wu, M. Shahidehpour, Z. Li
    [show abstract] [hide abstract]
    ABSTRACT: This paper presents a stochastic midterm risk-constrained hydrothermal scheduling algorithm in a generation company (GENCO). The objective of a GENCO is to maximize payoffs and minimize financial risks when scheduling its midterm generation of thermal, cascaded hydro, and pumped-storage units. The proposed schedule will be used by the GENCO for bidding purposes to the ISO. The optimization model is based on stochastic price-based unit commitment. The proposed GENCO solution may be used to schedule midterm fuel and natural water inflow resources for a few months to a year. The proposed stochastic mixed-integer programming solution considers random market prices for energy and ancillary services, as well as the availability of natural water inflows and generators in Monte Carlo scenarios. Financial risks associated with uncertainties are considered by applying expected downside risks which are incorporated explicitly as constraints. Variable time-steps are adopted to avoid the exponential growth in solution time and memory requirements when considering midterm constraints. A single water-to-power conversion function is used instead of several curves for representing water head and discharge parameters. Piecewise linearized head-dependant water-to-power conversion functions are used for computational efficiency. Illustrative examples examine GENCOs' midterm generation schedules, risk levels, fuel and water usage, and hourly generation dispatches for bidding in energy and ancillary services markets. The paper shows that GENCOs could decrease their financial risks by adjusting expected payoffs.
    IEEE Transactions on Power Systems 12/2008; · 2.68 Impact Factor
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Keywords

composite thermal representations
 
independent hydro plants
 
maximise
 
model allocates
 
negligible computation time
 
owners
 
paper presents
 
peak demand periods
 
precise cost objective function
 
proposed method
 
thermal
 
weekly energy requirement
 

Z. Yu