The Experts below are selected from a list of 29553 Experts worldwide ranked by ideXlab platform
C.a. Murari - One of the best experts on this subject based on the ideXlab platform.
-
Transmission Network expansion planning considering uncertainty in demand
IEEE Transactions on Power Systems, 2006Co-Authors: Id J Silva, M.j. Rider, R. Romero, C.a. MurariAbstract:This paper presents two mathematical models and one methodology to solve a Transmission Network expansion planning problem considering uncertainty in demand. The first model analyzed the uncertainty in the system as a whole; then, this model considers the uncertainty in the total demand of the power system. The second one analyzed the uncertainty in each load bus individually. The methodology used to solve the problem, finds the optimal Transmission Network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The models presented are solved using a specialized genetic algorithm. The results obtained for several known systems from literature show that cheaper plans can be found satisfying the uncertainty in demand
-
Transmission Network expansion planning with security constraints
IEE Proceedings - Generation Transmission and Distribution, 2005Co-Authors: I. De J Silva, M.j. Rider, R. Romero, A.v. Garcia, C.a. MurariAbstract:A mathematical model and a methodology to solve the Transmission Network expansion planning problem with security constraints are presented. The methodology allows one to find an optimal and reliable Transmission Network expansion plan using a DC model to represent the electrical Network. The security (n-1) criterion is used. The model presented is solved using a genetic algorithm designed to solve the reliable expansion planning in an efficient way. The results obtained for several known systems from literature show the excellent performance of the proposed methodology. A comparative analysis of the results obtained with the proposed methodology is also presented.
Xianzhong Duan - One of the best experts on this subject based on the ideXlab platform.
-
Dynamic multi-stage Transmission Network expansion planning
2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, 2008Co-Authors: Qiuxia Yu, Jianbo Guo, Xianzhong DuanAbstract:Conventional multi-stage Transmission Network expansion planning does not consider some dynamic factors, such as the effect of the following load growth in every stage and the swift increase of construction cost. But these dynamic factors are very important in deregulated power system. This paper brings forward the dynamic multi-stage Transmission Network expansion planning to handle these dynamic factors. The dynamic multi-stage Transmission Network expansion planning model applies load reschedule according the velocity and acceleration of node load growth, externalizes the new connotation of Transmission Network proper leading development planning that is advance constructing some circuits due to load level and construction cost swift increase, and adopts chaos particle swarm optimization (CPSO) to solve the planning model. A four-stage-19bus test case shows that the dynamic multi-stage Transmission Network expansion planning method is feasible and efficient.
-
Elasticity modeling for Transmission Network expansion planning in deregulated power system
2007 42nd International Universities Power Engineering Conference, 2007Co-Authors: Qiuxia Yu, Xianzhong DuanAbstract:In deregulated power system, the Transmission Networks are experiencing significant changes in both the operational and expansion planning. Traditionally, Transmission Network expansion planning was based on minimization the total cost of energy delivering with a certainty level of reliability, and it is optimal under strict constraints. But some constraints and objectives are flexibility or elasticity due to uncertain in electricity market, the solution is insignificante in practice under strict constraints. This paper presents a new approach and model for Transmission Network expansion planning in deregulated power system. This method adopts elasticity constraints and elasticity coefficients for Transmission Network expansion planning, the main elastic factors node real power injection, circuit real power limitation and circuit investment cost are considered. The optimal solution is based on a certain belief level, it can overcome the shortcoming of strict constraints, and accords with the engineering practice. This Elaticity modelling method for Transmission Network expansion planning provides a new planning conceptual in deregulated power system.
-
Adaptability evaluation of Transmission Network planning under deregulation
2007 42nd International Universities Power Engineering Conference, 2007Co-Authors: Qiuxia Yu, Xianzhong DuanAbstract:Under deregulation, the loads are difficult in forecasting, there are large differences between the actual demand of electric power and the load forecast in bulk power system. Transmission planning becomes very complex under deregulation. It is very important to Transmission planning that analyzing and evaluating of the Transmission Network adaptability to the future loads. This paper adopts DC power flow method and branch-node real power sensitivity to evaluate the Transmission Network adaptability to node load. The adaptability to node load includes single-node real power load and the total of all nodes real power load. Garver-6 test system illustrates the adaptability evaluation method is effective and feasible, and it can offer the guidance signal to new additional generation connection.
M.j. Rider - One of the best experts on this subject based on the ideXlab platform.
-
A specialized genetic algorithm to solve the short term Transmission Network expansion planning
2009 IEEE Bucharest PowerTech, 2009Co-Authors: Luis A. Gallego, M.j. Rider, Ruben Romero, Ariovaldo V. GarciaAbstract:In this paper, the short term Transmission Network expansion planning (STTNEP) is solved through a specialized genetic algorithm (SGA). A complete AC model of the Transmission Network is used, which permits the formulation of an integrated power system Transmission Network expansion planning problem (real and reactive power planning). The characteristics of the proposed SGA to solve the STTNEP problem are detailed and an interior point method is employed to solve nonlinear programming problems during the solution steps of the SGA. Results of tests carried out with two electrical energy systems show the capabilities of the SGA and also the viability of using the AC model to solve the STTNEP problem.
-
Transmission Network expansion planning considering uncertainty in demand
IEEE Transactions on Power Systems, 2006Co-Authors: Id J Silva, M.j. Rider, R. Romero, C.a. MurariAbstract:This paper presents two mathematical models and one methodology to solve a Transmission Network expansion planning problem considering uncertainty in demand. The first model analyzed the uncertainty in the system as a whole; then, this model considers the uncertainty in the total demand of the power system. The second one analyzed the uncertainty in each load bus individually. The methodology used to solve the problem, finds the optimal Transmission Network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The models presented are solved using a specialized genetic algorithm. The results obtained for several known systems from literature show that cheaper plans can be found satisfying the uncertainty in demand
-
Transmission Network expansion planning with security constraints
IEE Proceedings - Generation Transmission and Distribution, 2005Co-Authors: I. De J Silva, M.j. Rider, R. Romero, A.v. Garcia, C.a. MurariAbstract:A mathematical model and a methodology to solve the Transmission Network expansion planning problem with security constraints are presented. The methodology allows one to find an optimal and reliable Transmission Network expansion plan using a DC model to represent the electrical Network. The security (n-1) criterion is used. The model presented is solved using a genetic algorithm designed to solve the reliable expansion planning in an efficient way. The results obtained for several known systems from literature show the excellent performance of the proposed methodology. A comparative analysis of the results obtained with the proposed methodology is also presented.
Qiuxia Yu - One of the best experts on this subject based on the ideXlab platform.
-
Dynamic multi-stage Transmission Network expansion planning
2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, 2008Co-Authors: Qiuxia Yu, Jianbo Guo, Xianzhong DuanAbstract:Conventional multi-stage Transmission Network expansion planning does not consider some dynamic factors, such as the effect of the following load growth in every stage and the swift increase of construction cost. But these dynamic factors are very important in deregulated power system. This paper brings forward the dynamic multi-stage Transmission Network expansion planning to handle these dynamic factors. The dynamic multi-stage Transmission Network expansion planning model applies load reschedule according the velocity and acceleration of node load growth, externalizes the new connotation of Transmission Network proper leading development planning that is advance constructing some circuits due to load level and construction cost swift increase, and adopts chaos particle swarm optimization (CPSO) to solve the planning model. A four-stage-19bus test case shows that the dynamic multi-stage Transmission Network expansion planning method is feasible and efficient.
-
Elasticity modeling for Transmission Network expansion planning in deregulated power system
2007 42nd International Universities Power Engineering Conference, 2007Co-Authors: Qiuxia Yu, Xianzhong DuanAbstract:In deregulated power system, the Transmission Networks are experiencing significant changes in both the operational and expansion planning. Traditionally, Transmission Network expansion planning was based on minimization the total cost of energy delivering with a certainty level of reliability, and it is optimal under strict constraints. But some constraints and objectives are flexibility or elasticity due to uncertain in electricity market, the solution is insignificante in practice under strict constraints. This paper presents a new approach and model for Transmission Network expansion planning in deregulated power system. This method adopts elasticity constraints and elasticity coefficients for Transmission Network expansion planning, the main elastic factors node real power injection, circuit real power limitation and circuit investment cost are considered. The optimal solution is based on a certain belief level, it can overcome the shortcoming of strict constraints, and accords with the engineering practice. This Elaticity modelling method for Transmission Network expansion planning provides a new planning conceptual in deregulated power system.
-
Adaptability evaluation of Transmission Network planning under deregulation
2007 42nd International Universities Power Engineering Conference, 2007Co-Authors: Qiuxia Yu, Xianzhong DuanAbstract:Under deregulation, the loads are difficult in forecasting, there are large differences between the actual demand of electric power and the load forecast in bulk power system. Transmission planning becomes very complex under deregulation. It is very important to Transmission planning that analyzing and evaluating of the Transmission Network adaptability to the future loads. This paper adopts DC power flow method and branch-node real power sensitivity to evaluate the Transmission Network adaptability to node load. The adaptability to node load includes single-node real power load and the total of all nodes real power load. Garver-6 test system illustrates the adaptability evaluation method is effective and feasible, and it can offer the guidance signal to new additional generation connection.
R. Romero - One of the best experts on this subject based on the ideXlab platform.
-
Transmission Network expansion planning considering uncertainty in demand
IEEE Transactions on Power Systems, 2006Co-Authors: Id J Silva, M.j. Rider, R. Romero, C.a. MurariAbstract:This paper presents two mathematical models and one methodology to solve a Transmission Network expansion planning problem considering uncertainty in demand. The first model analyzed the uncertainty in the system as a whole; then, this model considers the uncertainty in the total demand of the power system. The second one analyzed the uncertainty in each load bus individually. The methodology used to solve the problem, finds the optimal Transmission Network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The models presented are solved using a specialized genetic algorithm. The results obtained for several known systems from literature show that cheaper plans can be found satisfying the uncertainty in demand
-
Transmission Network expansion planning with security constraints
IEE Proceedings - Generation Transmission and Distribution, 2005Co-Authors: I. De J Silva, M.j. Rider, R. Romero, A.v. Garcia, C.a. MurariAbstract:A mathematical model and a methodology to solve the Transmission Network expansion planning problem with security constraints are presented. The methodology allows one to find an optimal and reliable Transmission Network expansion plan using a DC model to represent the electrical Network. The security (n-1) criterion is used. The model presented is solved using a genetic algorithm designed to solve the reliable expansion planning in an efficient way. The results obtained for several known systems from literature show the excellent performance of the proposed methodology. A comparative analysis of the results obtained with the proposed methodology is also presented.
