scholarly journals Transmission Expansion Planning Considering Wind Energy Conversion Systems Using PSO

2019 ◽  
Vol 8 (6S3) ◽  
pp. 761-766
Keyword(s):  
Transmission Lines ◽  
Planning Horizon ◽  
Test System ◽  
Distribution Functions ◽  
Wind Generation ◽  
Monte Carlo Simulation Study ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Energy Conversion Systems

In power system studies the most important issue is Transmission Expansion Planning (TEP). The intend of TEP problem is to choose the placement as well as number of additional transmission lines, which are to be added to the existing system to suit growing demand in planning horizon. In this paper a new methodology for TEP is proposed, the presented Transmission planning is linked with generation cost, active power loss minimization by considering wind uncertainties. Firstly, the uncertainties involved in wind generation can be determined by using weigbull probability functions. Monte Carlo simulation study is able to be used to find the probability distribution functions of wind generation. Then, in TEP formulation the WTG uncertainties are considered. Particle swarm optimization (PSO) technique is used for solving the proposed single objective optimization problem. Simulation studies conducted on an IEEE 30 bus test system to certify effectiveness of the TEP problem with considering wind uncertainties.

scholarly journals Role Analysis of Distributed Generation Towards Transmission Expansion Planning Using MILP

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Gessa Firman Febrian ◽  
Sasongko Pramono Hadi ◽  
Sarjiya Sarjiya
Keyword(s):  
Transmission Line ◽  
Distributed Generation ◽  
Operating Cost ◽  
Test System ◽  
Network Configuration ◽  
System Cost ◽  
Expansion Planning ◽  
Demand Growth ◽  
Transmission Expansion Planning ◽  
Transmission Expansion

Electricity demand increase as function of population and economic activity growth. To meet the demand growth, one kind of approaches to expand electrical system is to calculate the need of generating unit and the result will be used to determine the needs of transmission line. In this research, a model was developed with focused on transmission line expansion based on Mix Integer Linear Programming method. The objective function was to minimize overall investment cost for transmission and operating cost of all generating units. The developed model was implemented in 6-bus Garver’s test system. Distributed generation implementation impact is also studied in this study in term of network configuration and overall expansion cost. The results show that distributed generation implementation will differ the network configuration and reduce the overall system cost, with overall system cost with and without distributed generation implementation was $106.4 million and $103.18 million respectively.

A Multi-Objective Transmission Expansion Planning Framework in Deregulated Power Systems With Wind Generation

2014 ◽  
Vol 29 (6) ◽  
pp. 3003-3011 ◽  
Author(s):  
Amirsaman Arabali ◽  
Mahmoud Ghofrani ◽  
Mehdi Etezadi-Amoli ◽  
Mohammed Sami Fadali ◽  
Moein Moeini-Aghtaie
Keyword(s):  
Power Systems ◽  
Wind Generation ◽  
Multi Objective ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Planning Framework ◽  
Deregulated Power Systems

scholarly journals A two-stage stochastic MILP model for generation and transmission expansion planning with high shares of renewables

2020 ◽  
Author(s):  
Giovanni Micheli ◽  
Maria Teresa Vespucci ◽  
Marco Stabile ◽  
Cinzia Puglisi ◽  
Andres Ramos
Keyword(s):  
Power Systems ◽  
Planning Horizon ◽  
Production Costs ◽  
Energy Sources ◽  
Two Stage ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Flexible Resources

Abstract This paper is concerned with the generation and transmission expansion planning of large-scale energy systems with high penetration of renewable energy sources. Since expansion plans are usually provided for a long-term planning horizon, the system conditions are generally uncertain at the time the expansion plans are decided. In this work, we focus on the uncertainty of thermal power plants production costs, because of the important role they play in the generation and transmission expansion planning by affecting the merit order of thermal plants and the economic viability of renewable generation. To deal with this long-term uncertainty, we consider different scenarios and we define capacity expansion decisions using a two-stage stochastic programming model that aims at minimizing the sum of investment, decommissioning and fixed costs and the expected value of operational costs. To be computationally tractable most of the existing expansion planning models employ a low level of temporal and technical detail. However, this approach is no more an appropriate approximation for power systems analysis, since it does not allow to accurately study all the challenges related to integrating high shares of intermittent energy sources, underestimating the need for flexible resources and the expected costs. To provide more accurate expansion plans for power systems with large penetration of renewables, in our analysis, we consider a high level of temporal detail and we include unit commitment constraints on a plant-by-plant level into the expansion planning framework. To maintain the problem computationally tractable, we use representative days and we implement a multi-cut Benders decomposition algorithm, decomposing the original problem both by year and by scenario. Results obtained with our methodology in the Italian energy system under a 21-year planning horizon show how the proposed model can offer professional guidance and support in strategic decisions to the different actors involved in electricity transmission and generation.

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