Optimal firm wind capacity allocation to power systems with security constraints

Burke, Daniel J.; O’Malley, Mark

doi:10.1109/psce.2009.4840126

Cited by 17 publications

(44 citation statements)

References 24 publications

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“…A simple approach to represent multi-period wind variations was implemented in [12], using a multidimensional "binning" technique to group (and thereby reduce) the number of relevant power flow scenarios-this did not incorporate network security contingencies however. Significant dimensionality reduction can be carried out by investigating the structure of the firm capacity optimization problem-if linearized load flow methods are used, then many of the power flow security constraints over the extended time series are redundant and can be removed by an efficient preprocessing scheme [13].…”

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confidence: 99%

“…The approach of [13], with a defined optimization cost function to minimize a wind turbine infrastructure economic cost criterion (by choosing the best wind resource sites), assumed a specific wind energy penetration target was initially feasible using firm wind capacity connection. This would be unrealistic in most power systems with significant targets and present transmission limitations-instead this paper attempts to maximize the firm wind energy potential of the existing system in the short-term prior to transmission expansion in the long-term.…”

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confidence: 99%

“…This would be unrealistic in most power systems with significant targets and present transmission limitations-instead this paper attempts to maximize the firm wind energy potential of the existing system in the short-term prior to transmission expansion in the long-term. To this end the approach of [13] is improved and extended, with incremental firm wind energy penetration targets applied from a lower initial level until a limit is reached when the optimization model becomes infeasible. Section II of this paper outlines the methodology in more detail.…”

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confidence: 99%

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Maximizing Firm Wind Connection to Security Constrained Transmission Networks

Burke

O’Malley

2010

IEEE Trans. Power Syst.

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Abstract-Prudent use of existing transmission capacity could be achieved by an optimal allocation of wind capacity to distinct transmission nodes. The statistical interdependency of geographically separate wind sites and the partially-dispatchable nature of wind power require a collective analysis of all potential wind farms over an extended time-frame in any optimized transmission planning study. The methodology presented in this paper separates this large optimization problem into smaller subtasks, including a year-long sequential time series hourly integer unit commitment, a linear dc load-flow network model with hourly security constraints, and a linear programming optimization model to estimate the maximum firm wind energy penetration for a given network. A novel maximalvector based constraint redundancy analysis is employed to significantly reduce the linear programming optimization dimensionality. Firm wind capacity connections are facilitated in this paper-i.e., those to which wind curtailment to manage congestion is not applicable within a typical system "planning" timeframe analysis. Each bus is allocated firm capacity on the basis of maximizing the possible firm wind energy penetration in the transmission system as a whole, while preserving traditional network security standards.

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confidence: 99%

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confidence: 99%

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Maximizing Firm Wind Connection to Security Constrained Transmission Networks

Burke

O’Malley

2010

IEEE Trans. Power Syst.

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“…During normal operation, the problems are often related to shortage of transmission capacities, sometimes even endangering the accomplishment of the (n − 1) security criterion. This situation can be found in weak transmission areas-usually at the periphery of the network-with attractive wind resources, but not enough transmission capacities to transport the generated energy to distant load centers [6,7]. As long as the expansion planning for electric power systems does not explicitly consider the development of renewable energies, these transmission capacity problems will continue to arise during the next few years.…”

Section: Introductionmentioning

confidence: 99%

“…The subject "optimal network allocation of WT" corresponds to a relatively new subject reported in only a few research contributions in the literature until now [7,[9][10][11]. In all these references, a methodology for optimal allocation of wind capacities using a linear programming approach is presented.…”

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Wind Turbines by Considering Transmission Security Constraints and Power System Stability

Rahmann

Palma‐Behnke

2013

Energies

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Abstract:A novel optimization methodology consisting of finding the near optimal location of wind turbines (WTs) on a planned transmission network in a secure and cost-effective way is presented on this paper. While minimizing the investment costs of WTs, the algorithm allocates the turbines so that a desired wind power energy-penetration level is reached. The optimization considers both transmission security and power system stability constraints. The results of the optimization provide regulators with a support instrument to give proper signals to WT investors, in order to achieve secure and cost effective wind power network integration. The proposal is especially aimed at countries in the initial stage of wind power development, where the WT network integration process can still be influenced by policy-makers. The proposed methodology is validated with a real power system. Obtained results are compared with those generated from a business-as-usual (BAU) scenario, in which the WT network allocation is made according to existing WT projects. The proposed WT network allocation scheme not only reduces the total investment costs associated with a determined wind power energy target, but also improves power system stability.

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Algorithm for optimal wind power plant capacity allocation in areas with limited transmission capacity

Jakus

Krstulovic

Vasilj

2013

Int. Trans. Electr. Energ. Syst.

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SUMMARY One of the basic requirements for making a high‐level integration of wind power plants (WPPs) in power systems possible are much higher investments in transmission network development. Often used practice that charges WPP investors with full cost of transmission network upgrades (some of which are not directly linked to WPP connection) could result with large number of good locations being unused. This paper proposes a simulation framework for assessing the possibility of WPP integration into the existing transmission network without any need for additional transmission upgrades. Install capacity of each WPP is determined in a way that maximizes total production from all WPP and minimizes their construction costs while considering transmission network security constrains. Maximum WPP penetration level and optimal capacity allocation are analyzed from the static aspect in order to determine the capability of the transmission network to transfer WPP production while considering maximum line loading under different system operating conditions. WPP production is modeled as stochastic variable considering the correlation between WPP production at different locations. Primal–dual interior point method is employed to solve the optimization problem. Copyright © 2013 John Wiley & Sons, Ltd.

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Optimal firm wind capacity allocation to power systems with security constraints

Cited by 17 publications

References 24 publications

Maximizing Firm Wind Connection to Security Constrained Transmission Networks

Maximizing Firm Wind Connection to Security Constrained Transmission Networks

Optimal Allocation of Wind Turbines by Considering Transmission Security Constraints and Power System Stability

Algorithm for optimal wind power plant capacity allocation in areas with limited transmission capacity

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