Transmission Expansion Planning of Systems With Increasing Wind Power Integration

Orfanos, G. A.; Georgilakis, Pavlos S.; Hatziargyriou, Nikos D.

doi:10.1109/tpwrs.2012.2214242

Cited by 220 publications

(178 citation statements)

References 24 publications

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“…These techniques can be categorized as analytical methods [30] and Monte Carlo techniques [32], [33], [34]. We use Monte Carlo technique for modeling uncertainty in wind speed.…”

Section: The Constraints Of Wind Power Unitsmentioning

confidence: 99%

Sequential Coordination of Transmission Expansion Planning With Strategic Generation Investments

Tohidi

Hesamzadeh

Regairaz

2017

IEEE Trans. Power Syst.

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Abstract-This paper proposes mathematical models for sequential coordination of transmission expansion planning with strategic generation investments. The proactive and reactive coordinations are modeled and studied. The interaction between transmission company (Transco) and strategic generation companies (Gencos) is modeled using the sequential-move game. This is while the interaction between the strategic Gencos is modeled as a simultaneous-move game. In the proactive coordination, the Transco expands its future transmission capacities taking into account the strategic investments by Gencos. In the reactive coordination, strategic Gencos move first and expand their future generation capacities and then Transco expands the transmission capacity. The proactive coordination is modeled as a mixedinteger bilevel linear program (MIBLP) and the reactive coordination is modeled as a mixed-integer linear program (MILP). The MIBLP has binary variables in both upper and lower levels. The Moore-Bard algorithm is parallelized and used to solve the MIBLP. The mathematical models and the parallelized MooreBard algorithm are tested on 3-bus and 6-bus example systems and the modified IEEE-RTS96. Also, the IEEE 118-bus test system is studied using a heuristic version of the Moore-Bard algorithm.

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“…These techniques can be categorized as analytical methods [30] and Monte Carlo techniques [32], [33], [34]. We use Monte Carlo technique for modeling uncertainty in wind speed.…”

Section: The Constraints Of Wind Power Unitsmentioning

confidence: 99%

Sequential Coordination of Transmission Expansion Planning With Strategic Generation Investments

Tohidi

Hesamzadeh

Regairaz

2017

IEEE Trans. Power Syst.

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“…Especially because of the reactive power behaviour of wind turbines, voltage stability in the system may depend crucially on their correct operation. Examples of earlier work are [9]- [13].…”

Section: Literaturementioning

confidence: 99%

Optimal Placing of Wind Turbines: Modelling the Uncertainty

Leenman¹,

Phillipson²

2015

JOCET

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Abstract-When looking at the optimal place to locate a wind turbine, trade-offs have to be made between local placement and spreading: transmission loss favours local placements and the correlation between the stochastic productions of wind turbines favours spreading. In this paper steps are described to determine the locations of new wind mills that minimize energy loss on the High Voltage power grid. A vindication of the used power grid model is provided, the simulation procedure for stochastic wind power is described and the required mathematical optimization models are described as well as implemented. Results are shown and their relation to real life problems is discussed. The analysis leads to the observation that in reality the entire Dutch coast is popular to locate wind turbines but the only region where this leads to actual reduction of the losses is the North (Groningen and Friesland). Next to this, at the current share of wind energy in the total network load, a spreading strategy to reduce variance of total wind power production does not seem advisable. At higher penetration (30% or more) spreading will become important.

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“…Recently, curtailment mitigation solutions such as demand response [4][5][6], active network management [7,8], network reinforcement [9,10], market rules and support schemes [11], and storage technologies [12][13][14][15][16][17] have been investigated in literature. While each option has pros and cons, storage technologies would be imperative to ensure a tolerable level of curtailment.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Potential Benefits and Limits of Electric Storage Heaters for Wind Curtailment Mitigation: A Finnish Case Study

2017

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Driven by policy changes and technological advancement, wind power installations are booming as compared to any other types of power generation. However, the increased penetration of renewable generation in the power systems has resulted in high level of curtailment. Advanced energy storage technologies have been increasingly scrutinized as a feasible mitigation option in smart grids. This paper investigates the potential of mitigating wind generation curtailment via aggregating the domestic electric storage heaters. The key findings show that aggregating domestic thermal storages is a viable option for curtailment mitigation, but with the indispensable caution that mitigation potential significantly saturates as the share of wind generation escalates beyond a certain limit.

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Transmission Expansion Planning of Systems With Increasing Wind Power Integration

Cited by 220 publications

References 24 publications

Sequential Coordination of Transmission Expansion Planning With Strategic Generation Investments

Sequential Coordination of Transmission Expansion Planning With Strategic Generation Investments

Optimal Placing of Wind Turbines: Modelling the Uncertainty

Assessing the Potential Benefits and Limits of Electric Storage Heaters for Wind Curtailment Mitigation: A Finnish Case Study

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