This paper examines Mixed-Integer Multi-Level problems with Sequential Followers (MIMLSF), a specialized optimization model aimed at enhancing upper-level decision-making by incorporating anticipated outcomes from lower-level sequential market-clearing processes. We introduce novel approach that combines lexicographic weighted-sum method to asymptotically approximate the MIMLSF as single-level problem, capable of managing multi-level exceeding three levels. To enhance computational...

Electricity markets can be designed in different ways. One rule that is sometimes enforced the uniform purchase price. Under this pricing method, all consumers pay same price regardless of zone they belong to. By contrast, each producer receives its zonal This asymmetry paid and received makes clearing process not easily treatable through standard optimization techniques. Within framework marginal pricing, paper shows how it possible to formulate market problem with selling prices as a...

Rapid proliferation of flexible Distributed Energy Resources (DERs) as a result Net Zero Emissions objectives entails profound shift in the paradigm local and national energy systems. Currently, DERs' simultaneous participation multiple markets is generally restricted, which undermines their profitability. With aim increasing number business cases for them, tri-level optimization problem that seeks maximisation revenues from DERs proposed. The considers different DERs, such as, Electric...

The large-scale deployment of renewable energy assets can create system-wide costs due to the impact on congestion management and reserve provision, may have a limited effect carbon emissions if subject curtailment. We show how successful UK incentive scheme for energy, termed Contracts-for-Difference (CfD), be further enhanced by introducing three new cost components internalise these externalities. proposed help: (i) incentivise more efficient investments signalling where offer value from...

The provision of energy flexibility services (such as shifting consumption) to electricity systems is becoming increasingly valuable, and can offer additional income for households. Here, we show how the locational distribution impacts its value, whether this could help reduce deprivation in Great Britain. Geospatial analysis shows that nearly 90 % people (1.3 million) living most deprived areas Greater London high-value flexibility. This improve their economic condition, provided adoption...

Extreme events, exacerbated by climate change, pose significant risks to the energy system and its consumers. However there are natural limits degree of protection that can be delivered from a centralised market architecture. Distributed resources provide resilience system, but their value remains inadequately recognized regulatory frameworks. We propose an insurance framework align residual outage risk exposure with locational incentives for distributed investment. demonstrate leveraging...

A community microgrid is a composed of several entities that can share energy among themselves. The members the match their demand and supply through an internal local market with significant reduction exchanges main grid. Each participant benefit from its costs when available locally cheaper, drop peak demanded grid, new capability to provide reserve at aggregate level. In this paper, we analyze how changes model parameters affect both as whole, welfare each participant. analysis performed...

ABSTRACT Grid-scale electricity storage will play a crucial role in the transition of power systems towards zero carbon. During transition, investments need to be channeled technologies and locations that enable carbon operation long term, while also delivering security supply value for money. We discuss metrics market signals are needed guide this clean, secure affordable solutions. Paradoxically, an important role, but become less effective as decision tool once system approaches...

The large deployment of renewable generation required to reach net-zero carbon emission requires significant investments in transmission network infrastructure reduce grid congestion, as well costly dispatchable assets manage the intermittency energy. provision flexibility services system operators represents an additional method that could help solve these issues. However, this engagement a number small users, such households and commercial firms, usually cannot directly participate...

The European day-ahead market is characterized by different types of orders and rules, such as block the uniform purchase pricing rule. Block are present in many central northern countries, whereas price enforced Italian under name <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Prezzo Unico Nazionale</i> (PUN). In this paper, we analyze effects introducing into market. particular, assess how could affect computation time, PUN level, number...

This work presents a model of community microgrids, whose members can exchange energy and services among themselves. Pricing exchanges within the is obtained by designing an internal local market based on marginal pricing scheme. The aims at maximizing social welfare community, thanks to more efficient allocation resources reduction peak power be paid, achieved aggregate level. Revenues costs are redistributed members, in such way that no one penalized as compared acting individually....

In this paper we propose a bilevel programming formulation of the piecewise affine regression problem, where upper level fixes partition regressor domain and classifies data points, lower computes parameter estimates models in each region partition. The proposed accommodates general class problems, are based on prediction error criterion, while overall model is selected according to possibly different criterion. Due use binary variables for classification task, approach typically viable only...