Distribution automation systems in terms of automatic and remote-controlled sectionalizing switches allows distribution utilities to implement flexible control networks, which is a successful strategy enhance efficiency, reliability, quality service. The play significant role an automated network, hence optimizing the allocation can improve supply reliability indices. This paper presents mixed-integer nonlinear programming aiming model optimal placement manual protective devices networks. A...

Introducing distributed generation (DG) into distribution networks can affect the problem of optimal switch placement. A method for solving placement sectionalizing switches with a large number DGs is presented. The primary objective to minimize total cost achieving certain level reliability in presence DG. formulated using mixed-integer linear programming determine and location switches. Allowing DG operate an island mode also considered. effectiveness proposed formulation examined on...

Different reasons such as power system restructuring, electricity price variation in some hours of a day and growth the fuel price, have led to more attention demand response (DR) programmes for consumers. Two important issues DR are emergency programming (EDRP) Interruptible/Curtail able (I/C) programme that is utilised interruptible load contracts (ILC). The EDDR decrease consumption peak or critical day. This occurs by means customer's behaviour incentives. However, curtailment...

The rapid emergence of hydrogen in long-term energy strategies requires a broad understanding on how is currently modelled national system models. This study provides review representation within selected models that are tailored towards providing policy insights. paper adopts multi-layered approach and selects eleven notable for the review. covers production, storage, transportation, trade, demand, modeling strategies, policies. suggests existing would often opt simplified can capture each...

This study proposes an integrated framework for coordinated optimisation of the interdependent microgrid (MG) and electric vehicle (EV) fleet entities using normalised normal constraint approach. By considering active/reactive power management option bidirectional charger enabled EVs in proposed model, authors investigate effectiveness EV's integration presence techno-economical objective functions. work concentrates on trade-off analysis two conflicting objectives, including economic MG's...

In this paper, the central principles of reliability-centered maintenance (RCM) and corresponding mathematical concepts for its implementation in microgrids are discussed. A systematic framework is suggested that exploits fundamentals multiattribute decision making to (i) evaluate important features failure attributes (ii) effectively identify microgrid critical components with their rates dynamically assessed at various time intervals. Lagrange multipliers a budget-constrained optimization...

This paper investigates the impact of Plug-in Electric Vehicles (PEVs) on voltage improvement and loss reduction in MicroGrids (MG). The proposed model this aims to minimize total expected deviation MG, while being subject economic policies. studied MG consists PEVs, Renewable Energy Sources (RES), Storage Systems (ESSs), Distributed Generations (DGs), is able participate day-ahead energy markets. uncertainties arrival departure time RES outputs, market prices are stochastically taken into...

Regarding the significant potential of solar energy in Iran, implementation optimally designed photovoltaic (PV) systems can be effective. Hence, this study proposes two objective functions: first, maximum possible output for a given area and, second, minimum receiving yearly from PV fixed collectors field, both which are calculated. In addition, shading and masking effects considered calculations. A modified particle swarm optimization (MPSO) algorithm is used to solve problem. The case...

An increasing implementation of renewable sources and electric vehicles can be help in reducing the total operational cost a power system, affecting system technical operation. To this end, multi-objective optimisation method using Normalised Normal Constraint (NNC) is applied paper by which two competitive objectives are considered: Minimisation Active Distribution System (ADS) minimisation ADS losses. Meanwhile, uncertain behaviour wind, photovoltaic units, arrival departure time...

This paper proposes a short-term stochastic SCUC model that simultaneously schedules generating units’ energy and spinning reserve in presence of wind energy. It should be noted system uncertainties, farm output uncertainties power generators lines outages are also considered optimization process. The proposed is formulated as two-stage mixed-integer programming model. Performance the formulation proved through test systems results presented.

This paper proposes a fast-accurate method to locate the sun through dual-axis tracker rapidly and accurately. The tracking time is reduced decrease power consumption improve dynamic performance. controlling procedure closed-loop combination of Multi-Layer Perceptron (MLP) neural network Perturbation & Observation (P&O). If deviates from solar panels significantly, will operate quickly, but inaccurately by using network. But if gets away slightly, accurately, slowly P&O. So, combining these...

Due to influences by power system restructuring, fuel price uncertainties, future demand forecasting, and utilities transmission lines availability, response (DR) programs for consumers have gained more attention. One important DR scheme is the emergency program (EDRP). This paper focuses on simultaneous implementation of security-constraint unit commitment (SCUC) EDRP using an economic model. Moreover, a stochastic optimization method employed realistic modelling. Since combined SCUC...