Multistage Transmission Expansion Planning Considering Fixed Series Compensation Allocation

Rahmani, Mostafa; Vinasco, Guillermo; Rider, Marcos J.; Romero, Rubén; Pardalos, Pãnos M.

doi:10.1109/tpwrs.2013.2266346

Cited by 44 publications

(32 citation statements)

References 25 publications

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“…In [19], a global investment cost has been considered for each FSC with a predefined compensation level a (Ca) in US$/MW that contains the cost of capacitors. To calculate Ca, as a constant coefficient, the cost of FSC is divided by the cost of the line.…”

Section: A Master Problemmentioning

confidence: 99%

“…In this problem, the demand scenario-weighted SW is maximized under different price uncertainty conditions over the planning horizon (19). The ISO clears the market considering units' offers and loads' bids defined in different uncertainty scenarios subject to transmission network and generation units specified in the master problem while the operating constraints are considered for all the uncertainty scenarios.…”

Section: B Optimal Operation Sub-problemmentioning

confidence: 99%

“…Due to the high value of investment cost and its importance for the market participants, considering the uncertainties in the future operating costs through the planning problem is essential, while most published works in this area only considered uncertainties in future demands, generation, and security criteria. On the other hand, to postpone the investment costs, optimal utilization of the existing transmission network, and even to improve the SW, considering fixed series compensators (FSCs) plays an important role [19].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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Section: A Master Problemmentioning

confidence: 99%

Section: B Optimal Operation Sub-problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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show abstract

“…To locate the FSC in the TEP problem, one can approximate the investment ratio of FSC with regards to the transmission line, as presented by Equation 1 28 :…”

Section: Investment Cost For Fscmentioning

confidence: 99%

Application of grey wolf algorithm for multi-year transmission expansion planning from the viewpoint of private investor considering fixed series compensation and uncertainties

Moradi

Alinejad‐Beromi

Kiani

2018

Int Trans Electr Energ Syst

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Summary The uncertainties caused by restructuring in power systems make transmission investment less attractive for the private investors and increase the risk level. In this paper, a merchant‐based stochastic method is presented for multi‐year transmission expansion planning from the viewpoint of private investors with allocation of fixed series compensation under wind, bids of generators, and load uncertainties. This proposed method maximizes absorption of private investment and eliminates monopolies in restructured environments. The grey wolf optimizer algorithm and point estimation method are applied as the optimization tool and for management of the uncertainties, respectively. In order to demonstrate the dependability of the proposed approach, the planning methodology has been illustrated on the IEEE 24‐bus and 118‐bus test systems. The results of this research show that adding fixed series compensation, besides the reduction of investment cost, will provide a good vision for private investors in order to get suitable transmission projects for investing.

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“…where I max is the maximum line current in kA and X l is the transmission line reactance in ohm/km. To locate the FSC in the TEP problem, one can approximate the investment ratio of FSC with regards to the transmission line, as presented by Equation 2 32 :…”

Section: Investment Cost For Fscmentioning

confidence: 99%

Multi-objective transmission expansion planning with allocation of fixed series compensation under uncertainties

Moradi

Alinejad‐Beromi

Kiani

2017

Int Trans Electr Energ Syst

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Summary Integration of wind resources into the power systems has increased the technical and financial concerns in transmission expansion planning. In this paper, a stochastic structure is demonstrated for transmission expansion planning with allocation of fixed series compensation under wind and load uncertainties. Fixed series compensations have the ability to increase the transfer capacity of transmission lines. However, their significance benefit for transmission expansion planning is their higher effectiveness in power dispatching, which results in lower investment costs, compared with planning without fixed series compensations. The proposed planning model simultaneously optimizes targets such as the investment cost, the congestion cost, and the expected energy not supplied in each stage. The presented planning model is a complicated nonlinear optimizing problem. For introducing group of nondominated optimal solutions, multi‐objective gray wolf optimizer algorithm based on probabilistic optimal power flow is used. Then, fuzzy approach is used to lead to the best response. For demonstrating the feasibility and susceptibilities of the proposed algorithm, the planning methodology has been illustrated on the IEEE 24‐bus and Colombian test systems. The results acquired from the simulations monitor capability of the proposed structure in order to satisfy various planning indices.

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Multistage Transmission Expansion Planning Considering Fixed Series Compensation Allocation

Cited by 44 publications

References 25 publications

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

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

Application of grey wolf algorithm for multi-year transmission expansion planning from the viewpoint of private investor considering fixed series compensation and uncertainties

Multi-objective transmission expansion planning with allocation of fixed series compensation under uncertainties

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