Proactive transmission expansion planning with storage considerations

Gonzalez-Romero, Isaac Camilo; Wogrin, Sonja; Gómez, Tomás

doi:10.1016/j.esr.2019.02.006

Cited by 31 publications

(16 citation statements)

References 21 publications

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“…Finally, some counterintuitive results arise when considering imperfect competition in the MO, i.e. under Cournot competition, allowing trade between areas (by building more lines) can decrease total welfare [26,43,44].…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, Maurovich-Horvat et al [43] consider a stochastic bi-level model with merchant (for details on modelling of merchant TRANSCOs refer to [96,97]) investors of transmission in the upper level and wind expansion and MO in the lower level, considering Cournot competition. Finally, the authors of [44,92] apply the same structure, but consider storage expansion and Cournot competition in the lower levels. Additionally, Gonzalez-Romero et al [92] compare the bi-level model with the traditional inelastic cost minimisation approach.…”

Section: Proactive Versus Reactive Planning Approachesmentioning

confidence: 99%

“…More recently, authors in [44] propose a co-planning model that includes Cournot competition in the market and the representation of short-term (batteries) and long-term (hydro) storage resources with a representative-period formulation that includes a transition matrix and cluster indices as proposed in [63]. Additionally, authors in [44] find counterintuitive results when a proactive approach is considered with a Cournot competition in the market.…”

Section: Representation Of Storage In Geptep Co-planning Modelsmentioning

confidence: 99%

“…Additionally, Gonzalez-Romero et al [92] compare the bi-level model with the traditional inelastic cost minimisation approach. Both works [43,44] find counterintuitive results when considering Cournot competition in the lower level compared to a perfect competition case.…”

Section: Proactive Versus Reactive Planning Approachesmentioning

confidence: 99%

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Review on generation and transmission expansion co‐planning models under a market environment

Gonzalez-Romero

Wogrin

Gómez

2020

IET Generation, Transmission & Distribution

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This study presents a review of the state-of-the-art on the coordination of generation and transmission expansion planning. First, the authors present the different investment and operation modelling approaches, with an emphasis on the centralised co-optimisation problem. Second, a comprehensive review of co-planning hierarchical equilibrium models, under a market environment, is carried out. The authors categorise the distinctive market approaches that usually represent the lower level of co-planning problems. They offer an updated and detailed classification of multilevel equilibrium models, based on their hierarchical and regulatory structure versus their equivalent reduced structure. Finally, the authors identify research gaps in the literature of each one of the mentioned model categories.

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Section: Discussionmentioning

confidence: 99%

Section: Proactive Versus Reactive Planning Approachesmentioning

confidence: 99%

Section: Representation Of Storage In Geptep Co-planning Modelsmentioning

confidence: 99%

Section: Proactive Versus Reactive Planning Approachesmentioning

confidence: 99%

See 2 more Smart Citations

Review on generation and transmission expansion co‐planning models under a market environment

Gonzalez-Romero

Wogrin

Gómez

2020

IET Generation, Transmission & Distribution

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“…TEP is one of the key decisions in power-systems design, with deep and long-lasting consequences on system performance. Transmission network planners must consider potential feedback from Energies 2019, 12, 4427 3 of 17 strategic market players [8] and decide whether to adopt a proactive or a reactive planning approach, which could lead to complicated hierarchical optimization and equilibrium problems (for an overview of TEP models under a liberalized market environment please refer to [9]). In general, transmission network planners must select which new lines to add to the network.…”

Section: Power Transmission Planningmentioning

confidence: 99%

A Decentralized Solution for Transmission Expansion Planning: Getting Inspiration from Nature

et al. 2019

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Transmission expansion planning is a problem of considerable complexity where classical optimization techniques are unable to handle large case studies. Decomposition and divide-and-conquer strategies have been applied to this problem. We propose an alternative approach based on agent-based modeling (ABM) and inspired by the behavior of the Plasmodium mold, which builds efficient transportation networks as result of its search for food sources. Algorithms inspired by this mold have already been applied to road-network design. We modify an existing ABM for road-network design to include the idiosyncratic features of power systems and their related physics, and test it over an array of case studies. Our results show that the ABM can provide near-optimal designs in all the instances studied, possibly with some further interesting properties with respect to the robustness of the developed design. In addition, the model works in a decentralized manner, using mostly local information. This means that computational time will scale with size in a more benign way than global optimization approaches. Our work shows promise in applying ABMs to solve similarly complex global optimization problems in the energy landscape.Energies 2019, 12, 4427 2 of 17 local, because they refer to agents and those they encounter in their proximity [3]. However, their interactions might lead to globally optimal design, such as in the cases of ant-colony behavior and slime mold growth, which have been shown to develop optimal networks [2]. In these biological systems, network development involves two phases: exploration and consolidation. The exploratory phase is characterized by the over-production of links between the core organism and the possible food sources. The consolidation phase, in turn, leads to the selection and positive reinforcement of the links that are used the most, while destroying or recycling the rest. The final network structure is likely to represent a context-specific balance between the need for efficient transport, low cost, and robustness.The inspiration for our algorithm comes from reference [2]. In their article, which is based on biological experiments, the authors argue that the slime mold Physarum polycephalum creates a network that is efficient enough to compete with the real design of the railway system around Tokyo. The molds Plasmodium and Physarum have been shown to be able to solve many computational problems, such as finding the shortest path between two points [4], constructing hierarchies of planar proximity graphs [5], or executing basic logical computing schemes [5,6]. The molds are also capable of sketching a mathematical model of an adaptive network that solves a convoluted maze [2]. The key underlying mechanism supporting its success, in all these instances, is always this cycle of over-production of links and consolidation. This is precisely what we will imitate in our algorithm: the transmission lines that are used the most will be reinforced, while those that are not used will be discarded. Some s...

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Transmission Pricing: Right Insights for Suitable Cost Allocation Methods

Benetti

Sperandio

2020

Electricity Markets

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Proactive transmission expansion planning with storage considerations

Cited by 31 publications

References 21 publications

Review on generation and transmission expansion co‐planning models under a market environment

Review on generation and transmission expansion co‐planning models under a market environment

A Decentralized Solution for Transmission Expansion Planning: Getting Inspiration from Nature

Transmission Pricing: Right Insights for Suitable Cost Allocation Methods

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