Hydrothermal scheduling flexibility enhancement with pumped-storage units

Zeynal, Hossein; Eidiani, Mostafa

doi:10.1109/iraniancee.2014.6999649

Cited by 10 publications

(6 citation statements)

References 17 publications

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“…Mixed-binary Unit commitment problem based on LR approach which in fact embrace decoupling constraints is formulated in (8)(9)(10)(11)(12)(13)(14)(15)(16). The object is to minimize the total quadratic cost of power production including a, b, c as the cost coefficients and the main variable which is ( ) plus with start-up cost of the unit ( ) for all the generators (NG) over the study period (T) [1][2][3][4][5].…”

Section: Objective Functionmentioning

confidence: 99%

“…However, it offers a dichotomy in optimal operation of the system. It is adventurous if EVs can be scheduled to connect and disconnect to the power grid in suitable time and optimal place to improve the security of the power grids [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…It is widely proven that the UC is the most money-saving procedure in power system operation. In fact, UC sets a pre-dispatch start-up schedule for the in-service units in the system [10,11]. However, it builds up a large-scale, nonlinear, non-differentiable, nonconvex mixed-integer mathematical programming problem with a complex constraint set [6,7,14,15].…”

Section: Introductionmentioning

confidence: 99%

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Improved Lagrangian relaxation generation decision-support in presence of electric vehicles

Zeynal¹,

Zakaria

Kor

2021

IJEECS

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Decision making strategies for resources available in macro/micro scales have long been a critical argument. Among existing methods to address such a mixed-binary optimization model, Lagrangian relaxation (LR) found universal acceptance by many utilities, offering a fast and accurate answer. This paper aims at retrofitting the solution way of LR algorithm by dint of meta-heuristic cuckoo search algorithm (CSA). When integrating CSA into LR mechanism, a tighter duality gap is catered, representing more accurate feasible solution. The key performance of CSA exhibits a head start over other classical methods such as gradient search (GS) and Newton Raphson (NR) when dealt with the relative duality gap closure in LR procedure. Further, electric vehicles (EV) with its associated hard constraints are encompassed into model to imperiling the proposed CSA-LR if encountered with nonlinear fluctuation of duality gap. Simulation results show that the proposed CSA-LR model outperforms the solution quality with/without EV as compared with conventional NR-LR method.

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Section: Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improved Lagrangian relaxation generation decision-support in presence of electric vehicles

Zeynal¹,

Zakaria

Kor

2021

IJEECS

Self Cite

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“…Various solution techniques were proposed in the literature. While AI-based approaches have received increased attention [4], utilities and independent system operators (ISOs) widely use Dynamic Programming 2733 (DP) [5], Lagrangian Relaxation (LR) [3,6] and Mixed-Integer Linear Programming (MILP) methods [7][8][9][10][11][12][13]. DP is a stage-wise search for an optimal solution, upon dividing the main problem into smaller subproblems.…”

Section: Introductionmentioning

confidence: 99%

“…MILP converts the associated nonlinearities of the HTS model, through a piecewise linearization, into a set of linear inequalities. CPLEX, an off-the-shelf software for solving large-scale MILP problems using BB&C algorithm, can then be applied [8,10,11,13,15].…”

Section: Introductionmentioning

confidence: 99%

MILP-Based Short-Term Thermal Unit Commitment and Hydrothermal Scheduling Including Cascaded Reservoirs and Fuel Constraints

Shaaban¹,

Zeynal²,

Nor³

2019

IJECE

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Reservoirs are often built in cascade on the same river system, introducing inexorable constraints. It is therefore strategically important to scheme out an efficient commitment of thermal generation units along with the scheduling of hydro generation units for better operational efficiency, considering practical system conditions. This paper develops a comprehensive, unit-wise hydraulic model with reservoir and river system constraints, as well as gas constraints, with head effects, to commit thermal generation units and schedule hydro ones in the short-term. A mixed integer linear programming (MILP) methodology, using the branch and bound & cut (BB&C) algorithm, is employed to solve the resultant problem. Due to the detailed modelling of individual hydro units and cascaded dependent reservoirs, the problem size is substantially swollen. Multithread computing is invoked to accelerate the solution process. Simulation results, conducted on various test systems, reiterate that the developed MILP-based hydrothermal scheduling approach outperforms other techniques in terms of cost efficiency.

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Interactive Use of D‐STATCOM and Storage Resource to Maintain Microgrid Stability for Commercial Systems

Eidiani,

Kargar,

Zeynal

2024

Microgrids for Commercial Systems

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Hydrothermal scheduling flexibility enhancement with pumped-storage units

Cited by 10 publications

References 17 publications

Improved Lagrangian relaxation generation decision-support in presence of electric vehicles

Improved Lagrangian relaxation generation decision-support in presence of electric vehicles

MILP-Based Short-Term Thermal Unit Commitment and Hydrothermal Scheduling Including Cascaded Reservoirs and Fuel Constraints

Interactive Use of D‐STATCOM and Storage Resource to Maintain Microgrid Stability for Commercial Systems

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