Flexible economic load dispatch integrating electric vehicles

Zeynal, Hossein; Jiazhen, Yap; Azzopardi, Brian; Eidiani, Mostafa

doi:10.1109/peoco.2014.6814484

Cited by 20 publications

(6 citation statements)

References 11 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%

“…As a part of the prime intent of this paper, electric vehicle operations are incorporated into the UC model to further jeopardize LR solution mechanism when it comes to an increased number of coupling constraints stated in (12)(13)(14)(15). The power delivered/withdrawn (+/-) to/from the grid is given in (12).…”

Section: Objective Functionmentioning

confidence: 99%

“…However, in such pool of possible solutions, few have received the industry approval on large-scale UC implementation. Nevertheless, the most appreciated techniques include priority listing (PL), dynamic programming (DP), Lagrangian relaxation (LR), and mixed integer programming (MIP) [13][14][15][16][17][18][19][20].…”

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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<p><span>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.</span></p>

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Section: Objective Functionmentioning

confidence: 99%

Section: Objective Functionmentioning

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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“…Subsequently, costly battery banks are not a viable option for storage solution. As an alternative, the concept of participation of aggregated EV in daily economic dispatch solution was introduced [4,5]. Bidirectional power flow mechanism or socalled Vehicle to Grid (V2G) [6], allows EVs to store surplus and unused power in off-peak hours, on the other hand, they serve as distributed mobile energy storage in peak hours when the system is solicitous and in the shortage of power.…”

Section: Introductionmentioning

confidence: 99%

“…The purpose of this study is to encompass EV's inverter in reactive power compensation based on EV's inverter capability curve and scheduled economic dispatch solution [5]. In addition, simulation results of [9] shows no degradation in battery SOC when PHEV is participating in VAr control.…”

Section: Introductionmentioning

confidence: 99%

Impact of Electric Vehicle's integration into the economic VAr dispatch algorithm

Zeynal

Jiazhen

Azzopardi

et al. 2014

2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)

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High penetration of Electric Vehicles (EV) into power grids can enforce major challenges on efficient operation of the system. The solution process of Optimal Reactive Power Dispatch (VAr) which allocates the generator outputs can be either exacerbated or improved.The conventional VAr algorithm is thus reformulated, encompassing EV's operational constraints. As a result, VAr-EV optimization algorithm builds up that minimizes total dispatch costs while taking into account a plethora of system-wise, unit-wise and spatial constraints for a daily operation. Simulation results exhibited that the proposed VAr-EV effectively improves the total dispatch costs and an efficient use of generation sources. However, it can be done by propitious shifts in generation plan from peak to off-peak hours as well as the EV dual operational mode (charging/discharging) advantages. Further, the obtained results represents that employing Newton Raphson (NR) load flow calculation instead of approximated loss techniques can procure an accurate and precise solution, which can also offer a close observation on system status following small breezes in operation. Based on the results, the integration of the EVs into the grid can immensely enhance the socio and techno-economic aspects of the system operation.

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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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Flexible economic load dispatch integrating electric vehicles

Cited by 20 publications

References 11 publications

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

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

Impact of Electric Vehicle's integration into the economic VAr dispatch algorithm

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

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