The Experts below are selected from a list of 104859 Experts worldwide ranked by ideXlab platform
Chunhua Peng - One of the best experts on this subject based on the ideXlab platform.
-
Flexible Robust Optimization Dispatch for Hybrid Wind/Photovoltaic/Hydro/Thermal Power System
IEEE Transactions on Smart Grid, 2016Co-Authors: Chunhua Peng, Peng Xie, Lei PanAbstract:With sustained growth of intermittent Power supplies connected to grid, the randomness and volatility of intermittent Power supplies will bring new challenges to Power System optimization dispatch. For dealing with the uncertainty of large-scale intermittent Power supply, this paper introduces robust optimization theory into optimization dispatch for hybrid wind/photovoltaic/hydro/Thermal Power Systems. Meanwhile in order to make an ideal compromise between reliability and economy of System dispatch, this paper also introduces concept of uncertainty to cover shortcoming of conventional robust optimization which is conservative. A flexible robust optimization with adjustable uncertainty budget dispatch model is built for hybrid Power System to achieve coordination between reliability and economy, and then the uncertainty budget decision methods are studied to reduce blindness of uncertainty budget decisions. Moreover, a new compound differential evolution (CDE) algorithm is designed in this paper. The diversity of individuals and convergence speed are taken into account in process of differential evolution (DE) calculation by introducing a series of operations into DE algorithm, such as individual ranking, population dividing, CDE, and population restructuring. Finally, a sample application is carried out to verify the validity and practicability of the model and the method.
-
flexible robust optimization dispatch for hybrid wind photovoltaic hydro Thermal Power System
IEEE Transactions on Smart Grid, 2016Co-Authors: Chunhua Peng, Peng Xie, Lei PanAbstract:With sustained growth of intermittent Power supplies connected to grid, the randomness and volatility of intermittent Power supplies will bring new challenges to Power System optimization dispatch. For dealing with the uncertainty of large-scale intermittent Power supply, this paper introduces robust optimization theory into optimization dispatch for hybrid wind/photovoltaic/hydro/Thermal Power Systems. Meanwhile in order to make an ideal compromise between reliability and economy of System dispatch, this paper also introduces concept of uncertainty to cover shortcoming of conventional robust optimization which is conservative. A flexible robust optimization with adjustable uncertainty budget dispatch model is built for hybrid Power System to achieve coordination between reliability and economy, and then the uncertainty budget decision methods are studied to reduce blindness of uncertainty budget decisions. Moreover, a new compound differential evolution (CDE) algorithm is designed in this paper. The diversity of individuals and convergence speed are taken into account in process of differential evolution (DE) calculation by introducing a series of operations into DE algorithm, such as individual ranking, population dividing, CDE, and population restructuring. Finally, a sample application is carried out to verify the validity and practicability of the model and the method.
-
dynamic economic dispatch for wind Thermal Power System using a novel bi population chaotic differential evolution algorithm
International Journal of Electrical Power & Energy Systems, 2012Co-Authors: Chunhua PengAbstract:Abstract Based on in-depth analysis of the stochastic nature of wind Power output, the Weibull distribution parameters of regional wind speed for different time intervals are obtained respectively, and then the probability density functions of wind Power output for different time intervals are achieved. These functions can be used to calculate output-overestimate and output-underestimate probabilities in each interval, so possible extra costs for maintaining the Power System stability caused by incorporating unstable wind Power can be calculated. Taking into account the possible costs, a stochastic optimization model for dynamic economic dispatch of wind-Thermal Power System is established to minimize the comprehensive operation expected cost. Moreover, a new algorithm, bi-population chaotic differential evolution (BPCDE) algorithm is proposed to solve this complicated model. The algorithm introduces bi-population evolution strategy, chaotic map update mechanism and Metropolis rule to improve the standard differential evolution algorithm. These improvements can overcome the premature problem caused by lacking of the individual diversity in the later stage of differential evolution and strengthen the global search ability of the algorithm. The validity and superiority are demonstrated by simulation results on a Power System integrated with large scale wind farms.
Lei Pan - One of the best experts on this subject based on the ideXlab platform.
-
Flexible Robust Optimization Dispatch for Hybrid Wind/Photovoltaic/Hydro/Thermal Power System
IEEE Transactions on Smart Grid, 2016Co-Authors: Chunhua Peng, Peng Xie, Lei PanAbstract:With sustained growth of intermittent Power supplies connected to grid, the randomness and volatility of intermittent Power supplies will bring new challenges to Power System optimization dispatch. For dealing with the uncertainty of large-scale intermittent Power supply, this paper introduces robust optimization theory into optimization dispatch for hybrid wind/photovoltaic/hydro/Thermal Power Systems. Meanwhile in order to make an ideal compromise between reliability and economy of System dispatch, this paper also introduces concept of uncertainty to cover shortcoming of conventional robust optimization which is conservative. A flexible robust optimization with adjustable uncertainty budget dispatch model is built for hybrid Power System to achieve coordination between reliability and economy, and then the uncertainty budget decision methods are studied to reduce blindness of uncertainty budget decisions. Moreover, a new compound differential evolution (CDE) algorithm is designed in this paper. The diversity of individuals and convergence speed are taken into account in process of differential evolution (DE) calculation by introducing a series of operations into DE algorithm, such as individual ranking, population dividing, CDE, and population restructuring. Finally, a sample application is carried out to verify the validity and practicability of the model and the method.
-
flexible robust optimization dispatch for hybrid wind photovoltaic hydro Thermal Power System
IEEE Transactions on Smart Grid, 2016Co-Authors: Chunhua Peng, Peng Xie, Lei PanAbstract:With sustained growth of intermittent Power supplies connected to grid, the randomness and volatility of intermittent Power supplies will bring new challenges to Power System optimization dispatch. For dealing with the uncertainty of large-scale intermittent Power supply, this paper introduces robust optimization theory into optimization dispatch for hybrid wind/photovoltaic/hydro/Thermal Power Systems. Meanwhile in order to make an ideal compromise between reliability and economy of System dispatch, this paper also introduces concept of uncertainty to cover shortcoming of conventional robust optimization which is conservative. A flexible robust optimization with adjustable uncertainty budget dispatch model is built for hybrid Power System to achieve coordination between reliability and economy, and then the uncertainty budget decision methods are studied to reduce blindness of uncertainty budget decisions. Moreover, a new compound differential evolution (CDE) algorithm is designed in this paper. The diversity of individuals and convergence speed are taken into account in process of differential evolution (DE) calculation by introducing a series of operations into DE algorithm, such as individual ranking, population dividing, CDE, and population restructuring. Finally, a sample application is carried out to verify the validity and practicability of the model and the method.
J Dobschinski - One of the best experts on this subject based on the ideXlab platform.
-
a stochastic model for the optimal operation of a wind Thermal Power System
IEEE Transactions on Power Systems, 2009Co-Authors: V S Pappala, I Erlich, K Rohrig, J DobschinskiAbstract:This paper presents a stochastic cost model and a solution technique for optimal scheduling of the generators in a wind integrated Power System considering the demand and wind generation uncertainties. The proposed robust unit commitment solution methodology will help the Power System operators in optimal day-ahead planning even with indeterminate information about the wind generation. A particle swarm optimization based scenario generation and reduction algorithm is used for modeling the uncertainties. The stochastic unit commitment problem is solved using a new parameter free self adaptive particle swarm optimization algorithm. The numerical results indicate the low risk involved in day-ahead Power System planning when the stochastic model is used instead of the deterministic model.
Peng Xie - One of the best experts on this subject based on the ideXlab platform.
-
Flexible Robust Optimization Dispatch for Hybrid Wind/Photovoltaic/Hydro/Thermal Power System
IEEE Transactions on Smart Grid, 2016Co-Authors: Chunhua Peng, Peng Xie, Lei PanAbstract:With sustained growth of intermittent Power supplies connected to grid, the randomness and volatility of intermittent Power supplies will bring new challenges to Power System optimization dispatch. For dealing with the uncertainty of large-scale intermittent Power supply, this paper introduces robust optimization theory into optimization dispatch for hybrid wind/photovoltaic/hydro/Thermal Power Systems. Meanwhile in order to make an ideal compromise between reliability and economy of System dispatch, this paper also introduces concept of uncertainty to cover shortcoming of conventional robust optimization which is conservative. A flexible robust optimization with adjustable uncertainty budget dispatch model is built for hybrid Power System to achieve coordination between reliability and economy, and then the uncertainty budget decision methods are studied to reduce blindness of uncertainty budget decisions. Moreover, a new compound differential evolution (CDE) algorithm is designed in this paper. The diversity of individuals and convergence speed are taken into account in process of differential evolution (DE) calculation by introducing a series of operations into DE algorithm, such as individual ranking, population dividing, CDE, and population restructuring. Finally, a sample application is carried out to verify the validity and practicability of the model and the method.
-
flexible robust optimization dispatch for hybrid wind photovoltaic hydro Thermal Power System
IEEE Transactions on Smart Grid, 2016Co-Authors: Chunhua Peng, Peng Xie, Lei PanAbstract:With sustained growth of intermittent Power supplies connected to grid, the randomness and volatility of intermittent Power supplies will bring new challenges to Power System optimization dispatch. For dealing with the uncertainty of large-scale intermittent Power supply, this paper introduces robust optimization theory into optimization dispatch for hybrid wind/photovoltaic/hydro/Thermal Power Systems. Meanwhile in order to make an ideal compromise between reliability and economy of System dispatch, this paper also introduces concept of uncertainty to cover shortcoming of conventional robust optimization which is conservative. A flexible robust optimization with adjustable uncertainty budget dispatch model is built for hybrid Power System to achieve coordination between reliability and economy, and then the uncertainty budget decision methods are studied to reduce blindness of uncertainty budget decisions. Moreover, a new compound differential evolution (CDE) algorithm is designed in this paper. The diversity of individuals and convergence speed are taken into account in process of differential evolution (DE) calculation by introducing a series of operations into DE algorithm, such as individual ranking, population dividing, CDE, and population restructuring. Finally, a sample application is carried out to verify the validity and practicability of the model and the method.
Lennart Söder - One of the best experts on this subject based on the ideXlab platform.
-
Wind energy impact on the energy reliability of a hydro-Thermal Power System in a deregulated market
1999Co-Authors: Lennart SöderAbstract:Wind energy impact on the energy reliability of a hydro-Thermal Power System in a deregulated market
-
reserve margin planning in a wind hydro Thermal Power System
IEEE Transactions on Power Systems, 1993Co-Authors: Lennart SöderAbstract:A method for studying the effect of wind Power on Power System reserve margins, need of extra resources, etc. is presented. A conventional model for short-term operation planning for a hydroThermal Power System is supplemented with a wind Power model. The wind Power model includes the forecast of total wind Power generation and the uncertainty of the forecast. The conventional hydro-Thermal model is extended to take into account load forecast uncertainty and reserve margins of the generation units. The requirements of instantaneous, fast, and slow reserves, depending on possible forced outages of Thermal units and uncertain load and wind speed forecasts etc., are calculated together with the available capacities of the corresponding reserve type. The results include an estimation of whether there is a deficit or excess of instantaneous, fast, or slow reserves during each hour of the planning period. A numerical example shows an application of the method to the Swedish Power System. >
