Continuous increase of wind power penetration brings high randomness to power system,and also leads to serious shortage of primary frequency regulation(PFR)reserve for power system whose reserve capacity is typically ...
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Continuous increase of wind power penetration brings high randomness to power system,and also leads to serious shortage of primary frequency regulation(PFR)reserve for power system whose reserve capacity is typically provided by conventional *** large-scale wind power participating in PFR,this paper proposes a unit commitment optimization model with respect to coordination of steady state and transient *** addition to traditional operation costs,losses of wind farm de-loaded operation,environmental benefits and transient frequency safety costs in high-risk stochastic scenarios are also considered in the ***,the model makes full use of interruptible loads on demand side as one of the PFR reserve sources.A selection method for high-risk scenarios is also proposed to improve the calculation ***,this paper proposes an inner-outer iterative optimization method for the model *** method is validated by the New England 10-machine system,and the results show that the optimization model can guarantee both the safety of transient frequency and the economy of system operation.
As a clean energy, wind power is massively utilized in net recent years, which significantly reduced the pollution emission created from unit. This article referred to the concept of energy-saving and emission reducin...
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ISBN:
(纸本)9781467371063
As a clean energy, wind power is massively utilized in net recent years, which significantly reduced the pollution emission created from unit. This article referred to the concept of energy-saving and emission reducing;built a multiple objective function with represent of the emission of CO2 & SO2, the coal-fired from units and the lowest unit fees of commitment;Proposed a algorithm to improving NSGA-square (Non-dominated Sorting Genetic Algorithm-II) for the dynamic characteristics, consider of some constraint conditions such as the shortest operation and fault time and climbing etc.;Optimized and commitment discrete magnitude and Load distribution continuous quantity with the double-optimization strategy;Introduced the fuzzy satisfaction-maximizing method to reaching a decision for Pareto solution and also nested into each dynamic solution;Through simulation for 10 units of wind power, the result show that this method is an effective way to optimize the Multi-objective unitcommitment modeling in wind power integrated system with Mixed-integer variable.
The paper develops research of feasibility and validity of Culture Algorithm (CA) in unit commitment optimization. The mathematic model of the optimization problem is established. Realization method of CA is presented...
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ISBN:
(纸本)9781424467129
The paper develops research of feasibility and validity of Culture Algorithm (CA) in unit commitment optimization. The mathematic model of the optimization problem is established. Realization method of CA is presented, including design of population space and culture space, design of acceptance function and influence function, and design of evolution strategies for two spaces. Solving steps of CA is realized, and optimization calculation program based on MATLAB language is compiled. The results of example shows that CA, s perfect advantage is faster speed and better convergence performance, which is viable and efficient for unit commitment optimization.
For large wind farms, the unit combinatorial optimization research can improve the level of wind farm operation and increase the economic efficiency of wind farms. The blades, which not only account for 20% of the tot...
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For large wind farms, the unit combinatorial optimization research can improve the level of wind farm operation and increase the economic efficiency of wind farms. The blades, which not only account for 20% of the total wind turbine cost, but also have much influence on the wind turbine life, are important components of wind turbines. With the stress analysis of blade roots in four different load conditions, this paper establishes a mathematic model quantifying damage of the blades and its relationship with blade life. The relationship between generator losses and reactive power is also established according to the generator losses of wind turbines. Moreover, based on the theory of binary particle swarm algorithm, genetic algorithm and GMBPSO algorithm, three optimal power dispatch models are proposed. The models take wind power prediction and load demand of electrical system into consideration and the objective of the optimization are to minimize the blade damage and generator losses. Application of the proposed optimal dispatching model in a 49.5 MW wind farm has proved itself feasible and reliable in reducing the number of start-stop times, extending the unit life while meeting the load requirements. (C) 2015 Elsevier Ltd. All rights reserved.
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