Co-optimization of electricity transmission and generation resources for planning and policy analysis: review of concepts and modeling approaches

Krishnan, Venkat; Ho, Jonathan; Hobbs, Benjamin F.; Liu, Andrew L.; McCalley, James D.; Shahidehpour, Mohammad; Zheng, Qipeng P.

doi:10.1007/s12667-015-0158-4

Cited by 114 publications

(63 citation statements)

References 58 publications

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“…where in the first iteration the initial susceptances are used b (1) ij =b ij (13) while for subsequent iterations k + 1 the optimal line investment Γ * (k) ij of the previous iteration k determines the physical line characteristics…”

Section: B Iterative Update Of Line Impedancesmentioning

confidence: 99%

Heuristics for Transmission Expansion Planning in Low-Carbon Energy System Models

Neumann

Brown

2019

2019 16th International Conference on the European Energy Market (EEM)

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Governments across the world are planning to increase the share of renewables in their energy systems. The siting of new wind and solar power plants requires close coordination with grid planning, and hence co-optimization of investment in generation and transmission expansion in spatially and temporally resolved models is an indispensable but complex problem. Particularly considerations of transmission expansion planning (TEP) add to the problem's complexity. Even if the power flow equations are linearized, the optimization problem is still bilinear and mixed-integer due to the dependence of line expansion on line impedance and a discrete set of line expansion options. While it is possible to linearize this mixed-integer nonlinear program (MINLP) by applying a big-M disjunctive relaxation, the resulting MILP is still hard to solve using state-of-the-art solvers for large-scale energy system models.In this paper we therefore develop heuristics to incorporate integer transmission expansion and responsive line impedances in energy system models, while retaining the lower computational effort of continuous linear programming (LP) by applying sequential linear programming (SLP) techniques, relaxation and discretization approaches. We benchmark their performance against the results of the exact formulation for a policy-relevant case study of the German transmission system in terms of their speed-up in computation time, deviation from optimal total system cost, and similarity of line expansion.Using heuristics we reduce computation times of joint generation and transmission optimisation by 82% with a maximal total system cost deviation of only 1.5%. The heuristics closely mirror optimal integer line investment of the exact MINLP with considerable time savings for policy-relevant low-carbon energy system optimization models.

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Section: B Iterative Update Of Line Impedancesmentioning

confidence: 99%

Heuristics for Transmission Expansion Planning in Low-Carbon Energy System Models

Neumann

Brown

2019

2019 16th International Conference on the European Energy Market (EEM)

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“…Points of supply and demand are often significant Integrated modeling is useful for providing a greater understanding of how electricity and gas markets can best coordinate operations, and what steps may need to be taken to ensure reliable operation in the long term. Continued research and efforts to further the capabilities of integrated gas-electricity modeling, as well as further coordination between electricity and gas operations, is warranted (see Krishnan et al 86 for a review of existing co-optimization tools).…”

Section: Current State Of Gas-electricity Modelingmentioning

confidence: 99%

Challenges and Solutions to Managing the Electricity‐Gas Interface

Ericson¹,

Logan²,

Kaffine³

et al. 2019

Natural Gas & Electricity

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Natural gas generators are now the largest producers of electricity in the United States and the largest single end‐use consumer of natural gas. Natural gas markets, first developed to meet commercial and residential heating demands during winter months, are now entwined with electricity markets, developed when natural gas provided a much lower fraction of total fuel supply for electricity markets. More coordination in both daily operations and long‐term planning is required to ensure the continued supply of reliable electricity and natural gas. The discussion throughout this article provides an overview of the evolution and current state of electricity and natural gas markets in the United States and summarizes the ways in which the two industries interact. The article discusses areas warranting greater coordination between the natural gas and electricity industries. We also discuss the current state of natural gas and electricity models and the need for integrated models that include dynamic simulations of pipeline operations, especially when large amounts of variable generation exist within the electrical system. Further, the article outlines current modeling work being conducted to better simulate operations and planning of both systems.

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“…The complexity of the underlying multi-area optimization problem is not only affected by the enlargement of considered technologies but especially increases due to the stronger coupling of both time steps and modeled regions. The examination of necessary investments into flexibility options thus becomes a co-optimization problem for the extension of generation, transmission and energy storage capacities [9,10].…”

Section: Motivationmentioning

confidence: 99%

Incorporating Power Transmission Bottlenecks into Aggregated Energy System Models

Cao

Metzdorf²,

Birbalta

2018

Sustainability

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Abstract:Energy scenario analyses are able to provide insights into the future and possible strategies for coping with challenges such as the integration of renewable energy sources. The models used for analyzing and developing future energy systems must be simplified, e.g., due to computational constraints. Therefore, grid-related effects and regional differences are often ignored. We tackle this issue by presenting a new methodology for aggregating spatially highly resolved transmission grid information for energy system models. In particular, such approaches are required in studies that evaluate the demand for spatially balancing power generation and consumption in future energy systems. Electricity transmission between regions is crucial, especially for scenarios that rely on high shares of renewable energy sources. The presented methodology estimates transmission line congestions by evaluating the nodal price differences and then applies a spectral clustering on these particular link attributes. The objective of the proposed approach is to derive aggregated model instances that preserve information regarding electricity transmission bottlenecks. The resulting models are evaluated against observables such as the annual amount of redispatched power generation. For a selection of defined performance indicators, we find a significantly higher accuracy compared to the commonly used, spatially aggregated models applied in the field of energy scenario analysis.

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Co-optimization of electricity transmission and generation resources for planning and policy analysis: review of concepts and modeling approaches

Cited by 114 publications

References 58 publications

Heuristics for Transmission Expansion Planning in Low-Carbon Energy System Models

Heuristics for Transmission Expansion Planning in Low-Carbon Energy System Models

Challenges and Solutions to Managing the Electricity‐Gas Interface

Incorporating Power Transmission Bottlenecks into Aggregated Energy System Models

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