Wind capacity growth in the Northwest United States: Cooptimized versus sequential generation and transmission planning

2019 ◽  
Vol 43 (6) ◽  
pp. 573-595 ◽  
Author(s):  
Patrick Maloney ◽  
Ping Liu ◽  
Qingyu Xu ◽  
James D McCalley ◽  
Benjamin F Hobbs ◽  
...  
Keyword(s):  
Pacific Northwest ◽  
Net Present Value ◽  
Cost Effective ◽  
Planning Horizon ◽  
Power Grids ◽  
Sequential Optimization ◽  
Sequential Approach ◽  
Transmission Planning ◽  
Expansion Planning ◽  
Transmission Expansion

This article demonstrates the benefits of simultaneous cooptimization on a 312-bus network representation of the Western Interconnection power grid with emphasis on The Bonneville Power Administration’s operational area in the Pacific Northwest. While generation and transmission expansion planning has traditionally been solved sequentially, simultaneous cooptimization of both guarantees plans at least as cost effective as sequential approaches and better integrates high-quality remote resources like wind into power grids. For three scenarios with varied carbon and transmission costs, results indicate that (1) simultaneous cooptimization provides up to 6 billion dollars in net present value benefits over sequential optimization during the 50-year planning horizon, (2) cooptimization is more adept at tapping into superior remote resources like wind that the sequential approach has trouble identifying for low iterations, and (3) 10 iterations of sequential cooptimization only capture 75%–96% of the transmission benefits of simultaneous cooptimization.

scholarly journals TRANSMISSION NETWORK EXPANSION WITH TRANSMISSION LOADING RELIEF

2014 ◽  
pp. 169-173
Author(s):  
M.D. KHARDENVIS ◽  
DR.V.N. PANDE ◽  
PROF.V.M. JAPE
Keyword(s):  
Transmission Lines ◽  
System Security ◽  
Planning Horizon ◽  
Power Markets ◽  
Contingency Analysis ◽  
Research Papers ◽  
Transmission Planning ◽  
Transmission Expansion ◽  
Expansion Plan ◽  
Bulk Power

Transmission planning should seek to maintain or improve system security over time and facilitate robust wholesale power markets by improving transmission capacity for bulk power transfers across wide regions It includes finding the optimal plan for the electrical system expansion, it must specify the transmission lines and/or transformers that should be constructed so that the system to operate in an adequate way and in a specified planning horizon. In this paper a methodology is proposed for choosing the best transmission expansion plan using Transmission security based on contingency analysis. A procedure using sensitivity analysis is used to evaluate potential transmission connections and that provide the most improvements to overall system security .The methodology is applied to a six bus Garver system The result obtained with the proposed method are validated with the results reported in the earlier research papers.

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.

Review on Transmission Expansion Planning Models

2016 ◽  
Vol 818 ◽  
pp. 129-133
Author(s):  
Ibrahim Alhamrouni ◽  
Azhar Khairuddin ◽  
Mohamed Salem ◽  
Abdelrahman Alnajjar
Keyword(s):  
Rapid Growth ◽  
Planning Horizon ◽  
The Other ◽  
Transmission Networks ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Planning Models ◽  
Solution Methods ◽  
Feasible Algorithm

Transmission expansion planning has become a complicated procedure more than any time it was with the rapid growth of the transmission networks, therefore, this work summarizes the works had been done before regarding this topic. This review classifies the existing works from many sides such as, solution methods, planning horizon and from the modeling prospective in order to facilitate the other researcher’s works in this hot area to get a feasible algorithm academically and commercially. The drawbacks of the TEP procedure and some recommendations are also included.

A robust model for generation and transmission expansion planning with emission constraints

SIMULATION ◽  
2020 ◽  
Vol 96 (7) ◽  
pp. 605-621
Author(s):  
Abdollah Ahmadi ◽  
Hani Mavalizadeh ◽  
Ali Esmaeel Nezhad ◽  
Pierluigi Siano ◽  
Heidar Ali Shayanfar ◽  
...  
Keyword(s):  
Dynamic Environment ◽  
Planning Horizon ◽  
Gaseous Emissions ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Robust Model ◽  
Expansion Plan ◽  
Emission Limits ◽  
The Cost

This paper presents the application of information gap decision theory (IGDT) to deal with uncertainties associated with load forecasting in dynamic, environment constrained, coordinated generation and transmission expansion planning. Traditionally, the gaseous emissions are constrained over the whole system. Conventional methods cannot guarantee a practical expansion plan since huge emissions can still occur on some buses in the power system. This paper introduces a per-bus emission limit to avoid extreme emissions in highly populated areas. The effect of nodal emission limits is fully discussed and compared to a conventional method. The model is kept linear using the big M approach to decrease the model computational burden. Reliability is considered by limiting the estimated load not served in each year over the planning horizon. The cost of fuel transportation and fuel limits are considered in order to make the model more realistic and practical. The effectiveness of the proposed model is verified by implementation on Garver 6 bus, IEEE 30 bus, and 118 bus test systems.

scholarly journals Infrastructure of Baltic Region Transmission System: Analysis of Technical and Economic Factors of its Development

2014 ◽  
Vol 51 (4) ◽  
pp. 3-14
Author(s):  
A. Obushevs ◽  
I. Oleinikova ◽  
A. Mutule
Keyword(s):  
Mathematical Model ◽  
Electricity Market ◽  
System Analysis ◽  
Development Planning ◽  
Transmission System ◽  
Transmission Planning ◽  
Operational Conditions ◽  
Expansion Planning ◽  
Transmission Expansion ◽  
The Baltic

Abstract The operational conditions of new networks dictate new requirements for the transmission planning, which would include the electricity market figures and a sizable involvement of renewable generation. This paper focuses on the transmission expansion planning techniques based on the calculations of optimal power flows and on the concept of development planning and sustainability. A description is given for the mathematical model of calculations and analysis of transmission system. The results have shown that the Baltic transmission system infrastructure can successfully be analyzed based on the proposed methodology and developed mathematical model

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.

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