47 research outputs found
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Risk-Aware Battery Bidding with a Novel Benchmark Selection Under Second-Order Stochastic Dominance
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An Innovative Coalitional Trading Model for a Biomass Power Plant Paired with Green Energy Resources
Brunel Research Initiative and Enterprise Fund (BRIEF) Optimal distribution network investment and distribution network operator dispatch under peer-to-peer market
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Battery Storage Energy Arbitrage Under Stochastic Dominance Constraints: A New Benchmark Selection Approach
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Capturing Spatio-Temporal Dependencies in the Probabilistic Forecasting of Distribution Locational Marginal Prices
IEEE This paper presents a new spatio-temporal framework for the day-ahead probabilistic forecasting of Distribution Locational Marginal Prices (DLMPs). The approach relies on a recurrent neural network, whose architecture is enriched by introducing a deep bidirectional variant designed to capture the complex time dynamics in multi-step forecasts. In order to account for nodal price differentiation (arising from grid constraints) within a procedure that is scalable to large distribution systems, nodal DLMPs are predicted individually by a single model guided by a generic representation of the grid. This strategy offers the additional benefit to enable cold-start forecasting for new nodes with no history. Indeed, in case of topological changes, e.g. building of a new home or installation of photovoltaic panels, the forecaster intrinsically leverages the statistical information learned from neighbouring nodes to predict the new DLMP, without needing any modification of the tool. The approach is evaluated, along with several other methods, on a radial low voltage network. Outcomes highlight that relying on a compact model is a key component to boost its generalization capabilities in high-dimensionality, while indicating that the proposed tool is effective for both temporal and spatial learning
Autocracy-Sustaining Versus Democratic Federalism:Explaining the Divergent Trajectories of Territorial Politics in Russia and Western Europe
This article provides a comparative assessment of territorial politics in Russia and Western Europe. The consolidation or deepening of regional autonomy in Western Europe contrasts with the transformation of Russia from a segmented and highly centrifugal state into a centralized authoritarian state in the course of just two decades. The consolidation of territorial politics in Western Europe is linked to the presence of endogenous safeguards that are built into their territorial constitutional designs and most importantly to the dynamics that emanate from multi-level party competition in the context of a liberal and multi-level democracy. In contrast, in Russia, neither endogenous safeguards nor multi-level party democracy play an important role in explaining the dynamics of Russian federalism, but who controls key state resources instead. We argue that under Putin power dependencies between the Russian center and the regions are strongest where regional democracy is at its weakest, thus producing ‘autocracy-sustaining’ instead of a democratic federation. By studying the relationship between federalism and democracy in cases where both concepts are mutually reinforcing (as in Western Europe) with the critical case of Russia where they are not, we question the widely held view that democracy is a necessary pre-condition for federalism.Peer reviewe
Offering and bidding for a wind producer paired with battery and CAES units considering battery degradation
This paper presents a stochastic framework for offering and bidding strategies of a hybrid power generation system (HPGS) with a wind farm and two types of energy storage facilities, i.e., compressed air energy storage (CAES) and battery energy storage (BES) systems. The model considers the participation of the HPGS in consecutive electricity markets, i.e., day-ahead (DA) and intraday markets. To better address the proposed trading strategy problem, the BES degradation cost is also incorporated into the model. Furthermore, a mechanism based on energy procurement from demand response resources (DRRs) in the intraday demand response exchange (IDREX) market for the HPGS is also established to offset unexpected energy imbalances effectively. The suggested offering and bidding strategy is formulated as a three-stage stochastic programming problem incorporating a risk-alleviating index, namely, the conditional value-at-risk (CVaR). Results from several simulations indicate considerable profit gain and risk reduction achieved by the suggested offering and bidding framework
Pricing electricity in residential communities using game-theoretical billings
Abstract
By sharing common assets such as the power grid, prosumers are closely interrelated by their actions and interests. Game theory provides powerful tools for increased coordination among the prosumers to optimize the energy resources. However, depending on the prosumer profiles and the market rules, the individual bills may notably differ and prove to be unfair. In this work, we analyze the outcomes of three relevant game-theoretical billing methods, which are innovatively transposed to the day-ahead scheduling of energy exchange within a liberalized residential community dominated by distributed energy resources. The first two approaches rely on a (static) daily billing scheme, while the third considers a multi-temporal (continuous) billing. The Nash equilibria are computed using distributed algorithms, hence ensuring individual decision-making and avoiding third-party dependencies. The cost distributions are assessed using both a qualitative and a quantitative comparison based on various prosumer profiles in a modern smart grid. It is shown that, depending on the billing option, either the contribution towards the entity (i.e., the ability to improve the global solution) or the individual empowerment (i.e., the ability to bargain) can be preferentially incentivized
Decentralisation reforms and regionalist parties’ strength: accommodation, empowerment or both?
The article aims to provide a comprehensive analysis of the impact of decentralisation on regionalist parties’ strength in both national and regional elections. We consider decentralisation both as a putatively crucial event, that is, the creation of an elected regional government, and as a process. Our study is based on a dataset including aggregate vote shares for 227 regionalist parties competing in 329 regions across 18 Western democracies. Our findings show that decentralisation as an event has a strong impact on the number of regionalist parties, as it triggers processes of proliferation and diffusion. Decentralisation as a process has an overall empowerment effect in regional elections, while it does not have an effect in national elections. However, our analysis also reveals that the overall null effect in national elections is actually the result of an empowering effect on new regionalist parties and of an accommodating effect on old regionalist parties
Constitutional negotiations in federal reforms: interests, interaction orientation, and the prospect of agreement
Constitutional amendments in federal political systems have to be negotiated between national and sub-national actors. While theories of negotiation usually explain the outcome by looking at these actors, their preferences and bargaining powers, the theoretical model developed in this article also includes their interaction orientation. The article determines a typical sequence of bargaining and arguing and identifies favourable conditions for cooperation based on different interaction orientations. The article states that actors can reconcile the conflicting logics of intergovernmental or party competition and joint decision-making in constitutional politics through a sequence of bargaining and arguing. However, constitutional amendments negotiated in this way run the risk of undermining the legitimacy and functionality of constitutions