Power systems are facing the displacement of conventional power plants by converter-interfaced generation, which does not inherently provide inertia; as a result, large frequency deviations can occur after imbalance, compromising stability. Energy storage (ESSs) becoming key elements in improving performance both electrical grid and renewable generation systems. They able to store release energy with fast response time, thus participating short-term control. This letter proposes strategy...

This paper deals with the provision of primary frequency response (PFR) as ancillary service (AS) from active distribution networks (ADNs) to transmission system (TS). In particular, two methodologies are developed. The first one aims quantify PFR capability range ADN. is defined by determining aggregated, i.e., equivalent, power - <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$P(f)$...

The rapid increase of human activities with direct influence on the environment has motivated global awareness need to efficiently monitor natural resources. Among wide range problems addressed, such as overuse agrochemicals, uncontrolled waste, etc., contamination water resources plays a protagonist role, given its close links biodiversity and food chain. Water monitoring is considered one most efficient ways deal these problems, especially through use autonomous vehicles, which can boost...

This paper addresses the problem of optimally operating a set grid-forming devices in an AC microgrid when detailed network model is not available. The main aim approach to maximize power sharing controllable and maintain frequency nodal voltages as close possible their corresponding references. proposed control architecture conformed by local layer each device that intends emulate performance synchronous machine centralized secondary controller composed two complementary tools coordinates...

In the last decades, new types of generation technologies have emerged and been gradually integrated into existing power systems, moving their classical architectures to distributed systems. Despite positive features associated this paradigm, problems arise such as coordination uncertainty. framework, microgrids constitute an effective solution deal with operation these energy resources. This paper proposes a Genetic Algorithm (GA) address combined problem Unit Commitment (UC) Economic...

This work addresses the problem of optimal real-time control a DC microgrid without relying on its corresponding network model. The main goal such controller is to keep nodal voltages within regulatory limits while offering current sharing capability between different controllable generators powering microgrid. proposed model-less methodology based feedback optimization, which takes advantage available measurements update setpoints generation assets. variables are determined in an iterative...

Nowadays, traditional synchronous generators are replaced by distributed renewable energy sources (DRESs), which connected to the grid via power converters. This shift towards non-synchronous generation leads low inertia systems and affects considerably frequency control procedure. To provide an inertial response enhance stability, DRESs can be equipped with fast discharging storage systems, such as ultracapacitors. feature allows distribution system operators (DSOs) ancillary service...

The breakage of the neutral conductor in low voltage distribution networks is a major concern for companies. This causes significant deviations that can damage connected equipment as well jeopardizing people. detection and localization challenge it does not always manifest same way. work presents methodology based on artificial intelligence breaks networks. Two neural are trained attempt to solve each challenges. For this purpose, measurements commonly taken by smartmeters such power nodal...

In this paper, a novel model predictive control strategy, with 24-h prediction horizon, is proposed to reduce the operational cost of microgrids. To overcome complexity optimization problems arising from operation microgrid at each step, an adaptive evolutionary strategy satisfactory trade-off between exploration and exploitation capabilities was added control. The evaluated using representative that includes wind turbine, photovoltaic plant, microturbine, diesel engine, energy storage...

The aim of this paper is to provide a new observer structure able deal with the distributed estimation discrete-time linear system from network agents. main result an innovative consensus-based that decompose state in observable and unobservable subspace agent using observability staircase form. proposes design which Kalman-like gains are synthetized minimize variance error on both subspaces. Finally some simulations shown compare proposed estimator centralized Kalman filter other schemes...

This article deals with the problem of Stochastic Unit Commitment (SUC), considering stochastic nature demand and meteorological phenomena. paper shows optimal operation a hybrid microgrid composed following generation units: wind turbine (WT), photovoltaic solar panel (PV), diesel engine generator (DE), micro-turbine (MT), as well storage devices such Battery Energy Storage (BES), its constraints requirements reserve generation. For this purpose, Model-based Predictive Control (MPC), which...

Voltage control in active distribution networks must adapt to the unbalanced nature of most these systems, and this requirement becomes even more apparent at low voltage levels. The use transformers with on-load tap changers is gaining popularity, those that allow different positions for each three phases transformer are promising. This work tackles exact approach optimization problem low-voltage when available. A very rigorous electrical model all involved components used, common approaches...

This paper presents an architecture for agent-based distributed state estimation of linear plants with outputs. The structure is based on orthogonal decomposition the local observable/unobservable subspaces associated to each set locally accessible design observers can be carried out in a way, which might open door scalable designs when number agent grows. proposed developed two-agents network, where we establish stability results error dynamics, but comments are given about generalization...

This paper deals with the problem of distributedly estimate state a plant through network interconnected agents. Each these agents must perform real-time monitoring state, counting on measurements local outputs and exchange information neighbouring The introduces distributed LQ-based design that is applied to observer structure based multi-hop subspace decomposition. Stability optimality conditions are derived tested in simulation. Finally, method presented allows user, tune two scalar...

The increasing penetration of renewable energy sources is strongly linked to the development voltage source converters used in their connection grid. As a result, near future an inverter-dominated power system it will be requirement for generation provide ancillary services order compensate absence synchronous generation. In this scenario, use storage systems along with advanced control algorithms mimicking dynamic behaviour traditional generators utmost importance. This paper deals...

This paper deals with the problem of estimating distributed states a plant using set interconnected agents. Each these agents must perform real-time monitoring state, counting on measurements local outputs and exchange information rest network. These inter-agent communications take place within multi-hop Therefore, transmitted suffers delay that depends position sender receiver in communication graph. Without loss generality, it is considered transmission rate sampling are both identical....

This manuscript deals with the situation in which different agents or buses a power network have access to local renewable resources and must manage its use distributed fashion. The distributedly decide amount of be generated using their plants, that demanded from grid. decisions are made according optimization cost function considers both economic technical factors. problem is approached resorting game-theoretical framework requires negotiation process among neighboring buses. An iterative...