Probabilistic Multiobjective Transmission Expansion Planning Incorporating Demand Response Resources and Large-Scale Distant Wind Farms

Hajebrahimi, Ali; Abdollahi, Amir; Rashidinejad, Masoud

doi:10.1109/jsyst.2015.2464151

Cited by 65 publications

(42 citation statements)

References 30 publications

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“…Therefore, building new generating units to satisfy this need is uneconomical. Although DSM and peaking generating units can efficiently resolve this issue [55], DSM programs can postpone investments in new generation units [41,56,57] and the expansion of transmission and distribution networks [58,59].…”

Section: Facility Upgradementioning

confidence: 99%

Impacts of Demand-Side Management on Electrical Power Systems: A Review

et al. 2018

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Electricity demand has grown over the past few years and will continue to grow in the future. The increase in electricity demand is mainly due to industrialization and the shift from a conventional to a smart-grid paradigm. The number of microgrids, renewable energy sources, plug-in electric vehicles and energy storage systems have also risen in recent years. As a result, future electricity grids have to be revamped and adapt to increasing load levels. Thus, new complications associated with future electrical power systems and technologies must be considered. Demand-side management (DSM) programs offer promising solutions to these issues and can considerably improve the reliability and financial performances of electrical power systems. This paper presents a review of various initiatives, techniques, impacts and recent developments of the DSM of electrical power systems. The potential benefits derived by implementing DSM in electrical power networks are presented. An extensive literature survey on the impacts of DSM on the reliability of electrical power systems is also provided for the first time. The research gaps within the broad field of DSM are also identified to provide directions for future work.

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Section: Facility Upgradementioning

confidence: 99%

Impacts of Demand-Side Management on Electrical Power Systems: A Review

et al. 2018

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“…Point estimation method provides an approximate description of the statistical information of the functions associated with random variables. Two-point estimation method has been applied in transmission expansion planning with the presence of wind power generation [91] and under smart grid environment with demand response resources [92]. To avoid the computational burden of Monte Carlo simulation and mathematical calculations associated with analytical methods, approximate point estimation (2m+1)-scheme is used in [93] to perform probabilistic OPF for transmission planning.…”

Section: Point-estimation-based Modelmentioning

confidence: 99%

“…Coordinating the different resources of flexibility may help to improve power system security and economics under uncertainty, facilitating the integration of renewable energy generation with less investment. Some contributions have been made in the coordination of generation-side and grid-side flexibility in economic dispatch [68,69,70,86,94] system expansion planning [131,132,133,134,135,136,137], transmission-generation-demand response co-optimization [138], transmission expansion planning with demand response resources [92].…”

Section: Coordination Of Different Flexibility Resourcesmentioning

confidence: 99%

Grid-side flexibility of power systems in integrating large-scale renewable generations: A critical review on concepts, formulations and solution approaches

Jia

Liu

et al. 2018

Renewable and Sustainable Energy Reviews

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Though considerable effort has been devoted to exploiting generation-side and demand-side operational flexibility in order to cope with uncertain renewable generations, grid-side operational flexibility has not been fully investigated. In this review, we define grid-side flexibility as the ability of a power network to deploy its flexibility resources to cope with the changes of power system state, particularly due to variation of renewable generation. Starting with a survey on the metrics of operational flexibility, we explain the definition from both physical and mathematical point of views. Then conceptual examples are presented to demonstrate the impacts of grid-side flexibility graphically, providing a geometric interpretation for a better understanding of the concepts. Afterwards the formulations and solution approaches in terms of grid-side flexibility in power system operation and planning are reviewed, based on which future research directions and challenges are outlined.

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“…In order to fill the existing gap, proper models should be investigated for incorporating various DR resources simultaneously into the expansion planning problems and considering their economic values. Recently, clustering techniques as powerful tools for data classification have been used to generate representative scenarios for power system planning studies incorporating operating conditions [17]. In most of the previous works, the researchers considered only the peak load of the planning year rather than load profile and demand-side bidding.…”

Section: Introductionmentioning

confidence: 99%

A Demand-Side Management-Based Model for G&TEP Problem Considering FSC Allocation

Zeinaddini-Meymand

Rashidinejad

Abdollahi

et al. 2019

IEEE Systems Journal

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This paper presents a model for multi-period generation and transmission expansion planning (G&TEP) problem in the presence of uncertainties in the strategies of market participants. The effects of demand response (DR) and fixed series compensation (FSC) devices allocation are considered for peak shaving purposes and optimal utilization of transmission capacity, respectively. This may cutback the generating expansion capacity and transmission investment costs. The optimal expansion plan is achieved while the uncertainties in the generators' offers and demands' bids are considered in the market model. In this model, the DR preferences are integrated into the market clearing process of the independent system operator (ISO), which is applied to the load aggregators according to the locational marginal and market clearing prices. Shifting the demand, curtailing the peak, and onsite generation are considered as load reduction strategies in the demand response program. The ISO optimizes the decision submitted by generating companies and load aggregators in the presence of uncertainties. The proposed model is applied to the Garver, single-, two-, and four-area IEEE-RTS 24-bus systems to show the effectiveness of the multi-optional DR program and the FSC devices in the dynamic G&TEP problems.

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Probabilistic Multiobjective Transmission Expansion Planning Incorporating Demand Response Resources and Large-Scale Distant Wind Farms

Cited by 65 publications

References 30 publications

Impacts of Demand-Side Management on Electrical Power Systems: A Review

Impacts of Demand-Side Management on Electrical Power Systems: A Review

Grid-side flexibility of power systems in integrating large-scale renewable generations: A critical review on concepts, formulations and solution approaches

A Demand-Side Management-Based Model for G&TEP Problem Considering FSC Allocation

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