A reactive power market for the future grid

Potter, Adam; Haider, Rabab; Ferro, Giulio; Robba, Michela; Annaswamy, Anuradha M.

doi:10.1016/j.adapen.2022.100114

Cited by 24 publications

(10 citation statements)

References 26 publications

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“…In the case of generating and storage units, the change of reactive power depends on their characteristics and the grid rules [24], [26], [27]: it can be bound to active power, or it can be null, or it can depend on the voltage. The possibility of setting up flexibility market explicitly addressed to reactive power is under study [36]. In the following, as in the existing implementations and pilot projects [4]- [9], we consider the flexibility as the change in the active demand profile.…”

Section: B Qualifying Flexibility Volumementioning

confidence: 99%

Flexibility Aggregation Perimeter for Ancillary Services in Radial Distribution Systems

Casolino

Losi

2023

IEEE Access

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The flexibility provided by prosumers is recognized as a key element for the management of the electrical grids, in particular distribution grids, in the changing scenario of electricity generation and consumption. The flexibility useful to Distribution System Operators (DSOs) is strongly local, and it is necessary to identify the busses of the grid where the flexibility can be usefully provided for a service requested by the DSO. For this purpose, the concept of flexibility perimeter is adopted; it is defined as a set of busses such that flexibility can be provided by any set of prosumers within it while the grid operation remains secure. The flexibility perimeter is a relevant concept for flexibility markets; in particular, for aggregators, since the flexibility provided by the prosumers within the perimeter can be offered as a single product to participants to electricity markets requiring grid services. The identification of flexibility aggregation perimeters for congestion-relief services in a radial grid is straightforward; for flexibility services intended to solve voltage profile problems, the identification of perimeters is not easy, even in radial grids. The paper proposes a method for the identification and evaluation of flexibility perimeters for grid services in radial distribution grids, based on the concept of Load Area; it can help decision-makers choose a compromise between technical and market efficiency of the aggregation perimeter dimension. For voltage This article has been accepted for publication in IEEE Access.

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Section: B Qualifying Flexibility Volumementioning

confidence: 99%

Flexibility Aggregation Perimeter for Ancillary Services in Radial Distribution Systems

Casolino

Losi

2023

IEEE Access

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“…However, the essence of multi-objective optimization lies in attempting to simultaneously optimize multiple objectives, which is often challenging to achieve in practice due to potential conflicts among different objective functions. Therefore, it is necessary to coordinate and compromise among all feasible solutions to obtain a diverse set of solutions (Pareto solutions) [13][14][15][16][17]. To evaluate the diversity of solutions, ref.…”

Section: Introductionmentioning

confidence: 99%

Reactive Power Optimization in Distribution Networks of New Power Systems Based on Multi-Objective Particle Swarm Optimization

Li,

Xiong

2024

Energies

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The new power system effectively integrates a large number of distributed renewable energy sources, such as solar photovoltaic, wind energy, small hydropower, and biomass energy. This significantly reduces the reliance on fossil fuels and enhances the sustainability and environmental friendliness of energy supply. Compared to distribution networks in traditional power systems, the new-generation distribution network offers notable advantages in improving energy efficiency, reliability, environmental protection, and system flexibility, but it also faces a series of new challenges. These challenges include potential harmonic issues introduced by the widespread use of power electronic devices (such as inverters for renewable energy generation systems and electric vehicle charging stations) and the voltage fluctuations and flickering caused by the intermittency and uncertainty of renewable energy generation, which may affect the normal operation of electrical equipment. To address these challenges, this study proposes an optimization model aimed at minimizing network losses and voltage deviations, utilizing traditional capacitor adjustments and static var compensators (SVCs) as optimization measures. Furthermore, this study introduces an improved version of the multi-objective particle swarm optimization (MOPSO) algorithm, specifically enhanced to address the unique challenges of reactive power optimization in modern distribution networks. The test results show that this algorithm can effectively generate a large number of Pareto optimal solutions. The application of this algorithm on a 33-node network case study demonstrates its advantages in reactive power optimization. The optimization results highlight the effectiveness and feasibility of the proposed improved algorithm in the application of distribution network reactive power optimization, offering users a uniform and diverse range of reactive compensation solutions.

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“…Ref. [16] also tries to compensate for the reactive power injection of distributed generation but using a distribution‐level locational marginal price method. To this end, it first renders a centralized optimization problem and then transforms it into a decentralized model in which, every agent utilizes an iterative computation using its own local data and its neighbours' information.…”

Section: Introductionmentioning

confidence: 99%

“…According to this paper, the overall performance of the proposed scheme relies on the reactive power estimation and the required control actions to supply the estimated reactive power. It is noteworthy that running an effective general reactive power market model within the distribution systems has been dismissed in references [10,[12][13][14][15][16][17]. Moreover, although [11] aims to model a reactive power market as an ancillary service; the developed market is designed in a centralized way which could engender privacy concerns in the system.…”

Section: Introductionmentioning

confidence: 99%

Distributed reactive power management in multi‐agent energy systems considering voltage profile improvement

Tofighi‐Milani,

Fattaheian‐Dehkordi,

Fotuhi‐Firuzabad

et al. 2023

IET Generation Trans & Dist

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In recent years, distributed structures have been developed in distribution networks as a result of privatization as well as integration of independently operated distributed energy resources (DERs) into the grid. In this context, effective management techniques seem to be necessary to enable decentralized operation of systems that have been consisted of multiple agents. Accordingly, novel management schemes should be applied in such systems to enable the distributed reactive power management, which would finally improve voltage profile in the network. As a result, this paper develops a distributed algorithm for reactive power management in multi‐agent distribution systems with the aim of improving the voltage profile of the grid. Correspondingly, in the proposed framework, several cost functions are developed to model the effects of reactive power management on the system from the distribution system operator (DSO) as well as agents’ perspectives. Consequently, the proposed reactive power management algorithm would result in voltage profile improvement, while each agent of the system merely strives to maximize its own profits. Accordingly, the proposed scheme ensures the privacy of independent agents. Finally, the proposed scheme is applied on the modified IEEE‐37‐bus test system to investigate its effectiveness on Peer‐to‐Peer (P2P) reactive power management in multi‐agent systems.

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A reactive power market for the future grid

Cited by 24 publications

References 26 publications

Flexibility Aggregation Perimeter for Ancillary Services in Radial Distribution Systems

Flexibility Aggregation Perimeter for Ancillary Services in Radial Distribution Systems

Reactive Power Optimization in Distribution Networks of New Power Systems Based on Multi-Objective Particle Swarm Optimization

Distributed reactive power management in multi‐agent energy systems considering voltage profile improvement

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