A new generation scheduling program at Ontario Hydro

Habibollahzadeh, H.; Frances, Daniel M.; Sui, U.

doi:10.1109/59.49088

Cited by 20 publications

(4 citation statements)

References 17 publications

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“…Coordination between the two subproblems is achieved by exploiting the Lagrange multipliers of the thermal scheduling phase. A similar approach can be found in [3].…”

Section: Introductionmentioning

confidence: 75%

Dual programming methods for large-scale thermal generation scheduling

Demartini

Simone²,

Granelli³

et al. 1998

IEEE Trans. Power Syst.

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The problem of thermal generation scheduling: is considered in the framework of the short-term hydro-thermal coordination problem. Dual programming methods are applied to the large-scale problem deriving from a fine subdivision of the daily optimization horizon for networks with hundreds of tbermal units. The starting point for the dual approach is obtained from the solution of a thermal scheduling problem with discarded generation ramp-rate constraints. The relaxed daily scheduling decouples into as many smaller dispatch problemi as the number of subintervals. Two dual programming methods are implemented: the former is the dual active set algorithm by Goldfarb and Idnani while the latter is based on the application of continuation method techniques. These approaches are extensively tested with reference to both a small sample system and to the daily thermal generation scheduling of the Italian (ENISL) system (over 100 thermal units and 96 quarter hour subintervals). Incorporating the dual programming approach within the ENEL hydro-thermal coordination procedure is also considered.

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“…Coordination between the two subproblems is achieved by exploiting the Lagrange multipliers of the thermal scheduling phase. A similar approach can be found in [3].…”

Section: Introductionmentioning

confidence: 75%

Dual programming methods for large-scale thermal generation scheduling

Demartini

Simone²,

Granelli³

et al. 1998

IEEE Trans. Power Syst.

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“…In the case of nuclear power, the power generation output is almost fixed, because of which it is generally excluded from the unit commitment planning or is a part of a special unit commitment plan, as in the case of France. Hydroelectric power is excluded from the unit commitment plan due to rainfall and social and environmental limitations, or as in the case of Canada and Scandinavian countries, hydroelectric power plants are constructed in mass to operate a separate hydrothermal unit commitment plan [53]. As such, most of the power generators used in the unit commitment plan are thermal ones, which can be started in a matter of hours, making normal unit commitment plans to determine the combination of power generators by the hour.…”

Section: Model Descriptionmentioning

confidence: 99%

Integrated Model of Economic Generation System Expansion Plan for the Stable Operation of a Power Plant and the Response of Future Electricity Power Demand

Kim

2018

Sustainability

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The current study aims to establish an optimal Generation System Expansion Plan that can satisfy the increasing electricity demand while maintaining operational elements and the stability of the energy supply. The architecture is composed of plan-level and operation-level models, which are basically based on optimization. In the first step, we estimated future power demand data through time series analysis. In addition, power plant data were defined and verified data were collected. In the next step, the previous Generation System Expansion Plan methodology was used to deduce a feasible solution and construction costs that satisfy the reserve rate. In the third step, mixed integer programming (MIP)-based power generation system operation plan methodology was used to deduce numbers on the operation of power generation system. In addition, power plants with similar characteristics were grouped to reduce the calculation complexity of unit commitment. In the last step, a feasible solution for the duration of the plan (deduced in Stage II) and operations and maintenance cost information were combined to produce the optimal solution that minimizes the total cost. Experiments were conducted to demonstrate the proposed integrated generation system expansion planning architecture for establishing the optimal generation system expansion planning. This study has academic implications for the establishment of optimal power plant expansion plans to meet future increasing power demand while maintaining operational considerations and supply stability. The effectiveness of the proposed methodology is also illustrated through comparison and verification with the National Plan for Electricity Supply and Demand.

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“…For systems with cascaded reservoirs and discrete operating states, the state space expands exponentially with problem size, causing DP to suffer from the "curse of dimentionality" for practical applications. Network flow is the most widely used method for hydro power scheduling ( [8][9][10][11][12]). Its major limitation, however, is its inability to deal with discontinuous operating regions and discrete operating states, although continuous non-network constraints can be approximated in a network flow formulation as in [8].…”

Section: Introductionmentioning

confidence: 99%

An optimization-based algorithm for scheduling hydrothermal power systems with cascaded reservoirs and discrete hydro constraints

Guan

et al. 1997

IEEE Trans. Power Syst.

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An optimization-based algorithm is presented for the short-term scheduling of hydrothermal power systems using the Lagrangian relaxation technique. This paper concentrates on the solution methodology for hydro subproblems with cascaded reservoirs and discrete hydro constraints. Continuous reservoir dynamics and constraints, discontinuous operating regions, discrete operating states, and hydraulic coupling of cascaded reservoirs are considered in an integrated fashion. The key idea is to substitute out the reservoir dynamics and to relax the reservoir level constraints by using another set of multipliers, making a hydro subproblem unit-wise and stage-wise decomposable. The optimal generation level for each operating state at each hour can be obtained simply by minimizing a single variable function. Dynamic programming is then applied to optimize the operating states across the planning horizon with a small number of well-structured transitions. A modified subgradient algorithm is used to update multipliers. After the dual problem converges, the feasible solution to the hydro power subsystem is obtained by using a network flow algorithm, with operating states obtained in the dual solutions possibly adjusted by heuristics. Numerical testing based on practical system data sets show that this method is efficient and effective for dealing with hydrothermal systems with cascaded reservoirs and discrete hydro constraints.

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A new generation scheduling program at Ontario Hydro

Cited by 20 publications

References 17 publications

Dual programming methods for large-scale thermal generation scheduling

Dual programming methods for large-scale thermal generation scheduling

Integrated Model of Economic Generation System Expansion Plan for the Stable Operation of a Power Plant and the Response of Future Electricity Power Demand

An optimization-based algorithm for scheduling hydrothermal power systems with cascaded reservoirs and discrete hydro constraints

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