15 documents found, page 1 of 2

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New Multistage and Stochastic Mathematical Model for Maximizing RES Hosting Cap...

Santos,SF; Fitiwi,DZ; Shafie Khah,M; Bizuayehu,AW; Cabrita,CMP; João Catalão

This two-part work presents a new multistage and stochastic mathematical model, developed to support the decision-making process of planning distribution network systems (DNS) for integrating large-scale "clean" energy sources. Part I is devoted to the theoretical aspects and mathematical formulations in a comprehensive manner. The proposed model, formulated from the system operator's viewpoint, determines the ...

Date: 2017   |   Origin: INESC TEC

Dynamic Price Vector Formation Model-Based Automatic Demand Response Strategy f...

Chen,QF; Wang,F; Hodge,BM; Zhang,JH; Li,ZG; Shafie Khah,M; João Catalão

A real-time price (RTP)-based automatic demand response (ADR) strategy for PV-assisted electric vehicle (EV) Charging Station (PVCS) without vehicle to grid is proposed. The charging process is modeled as a dynamic linear program instead of the normal day-ahead and real-time regulation strategy, to capture the advantages of both global and real-time optimization. Different from conventional price forecasting al...

Date: 2017   |   Origin: INESC TEC

Plug-In Electric Vehicles Parking Lot Equilibria With Energy and Reserve Markets

Nilufar Neyestani; Damavandi,MY; Shafie Khah,M; Bakirtzis,AG; João Catalão

This paper proposes a comprehensive model for the interactions of the plug-in electric vehicles (PEVs) involved parties. An aggregator with mixed resources is assumed to be the interface between the parking lot (PL) and the upstream energy and reserve markets. On the other hand, the interactions of the PEV owners and the PL are also modeled as they impose restrictions to the PL's behavior. Therefore, a bilevel ...

Date: 2017   |   Origin: INESC TEC

Reliability Optimization of Automated Distribution Networks With Probability Cu...

Heidari,A; Agelidis,VG; Kia,M; Pou,J; Aghaei,J; Shafie Khah,M; João Catalão

Distribution automation systems in terms of automatic and remote-controlled sectionalizing switches allows distribution utilities to implement flexible control of distribution networks, which is a successful strategy to enhance efficiency, reliability, and quality of service. The sectionalizing switches play a significant role in an automated distribution network, hence optimizing the allocation of switches can...

Date: 2017   |   Origin: INESC TEC

Risk-based bi-level model for simultaneous profit maximization of a smart distr...

Sadati,SMB; Moshtagh,J; Shafie Khah,M; João Catalão

In this paper, the effect of renewable energy resources (RERs), demand response (DR) programs and electric vehicles (EVs) is evaluated on the optimal operation of a smart distribution company (SDISCO) in the form of a new bi-level model. According to the existence of private electric vehicle parking lots (PLs) in the network, the aim of both levels is to maximize the profits of SDISCO and the PL owners. Further...

Date: 2017   |   Origin: INESC TEC

The values of market-based demand response on improving power system reliabilit...

Wang,F; Xu,HC; Xu,T; Li,KP; Shafie Khah,M; João Catalão

Power system reliability faces serious challenges when supply shortage occurs because of unexpected generation or transmission line outages especially during extreme weather conditions. Alternative to conventional approaches that solicit aids from the generation side, operators can now leverage the demand-side resources through a variety of electricity market mechanisms to balance the active power and enhance s...

Date: 2017   |   Origin: INESC TEC

Aggregation of Distributed Energy Resources Under the Concept of Multienergy Pl...

Yazdani Damavandi,M; Nilufar Neyestani; Chicco,G; Shafie Khah,M; João Catalão

In recent years, in addition to the traditional aspects concerning efficiency and profitability, the energy sector is facing new challenges given by environmental issues, security of supply, and the increasing role of the local demand. Therefore, the researchers have developed new decision-making frameworks enabling higher local integration of distributed energy resources (DER). In this context, new energy play...

Date: 2017   |   Origin: INESC TEC

New Metrics for Evaluating Technical Benefits and Risks of DGs Increasing Penet...

Akbari,MA; Aghaei,J; Barani,M; Savaghebi,M; Shafie Khah,M; Guerrero,JM; João Catalão

Increasing penetration of distributed generation (DG), may be interesting from several points of view, but it raises important challenges about distribution system operation and planning practices. To optimal allocation of DG, which play an important role in construction of microgrids, the benefits and risks should be qualified and quantified. This paper introduces several probabilistic indices to evaluate the ...

Date: 2017   |   Origin: INESC TEC

Modified Chaos Particle Swarm Optimization-Based Optimized Operation Model for ...

Wang,F; Zhou,LD; Wang,B; Wang,Z; Shafie Khah,M; João Catalão

The optimized dispatch of different distributed generations (DGs) in stand-alone microgrid (MG) is of great significance to the operation's reliability and economy, especially for energy crisis and environmental pollution. Based on controllable load (CL) and combined cooling-heating-power (CCHP) model of micro-gas turbine (MT), a multi-objective optimization model with relevant constraints to optimize the gener...

Date: 2017   |   Origin: INESC TEC

Impacts of Operational Variability and Uncertainty on Distributed Generation In...

Santos,SF; Fitiwi,DZ; Bizuayehu,AW; Shafie Khah,M; Asensio,M; Contreras,J; Cabrita,CMP; João Catalão

This paper presents a comprehensive sensitivity analysis to identify the uncertain parameters which significantly influence the decision-making process in distributed generation (DG) investments and quantify their degree of influence. To perform the analysis, a DG investment planning model is formulated as a novel multistage and multiscenario optimization problem. Moreover, to ensure tractability and make use o...

Date: 2017   |   Origin: INESC TEC

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