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About

I had my M.Sc. degree in power system electrical engineering from Iran University of Science and Technology (IUST), Tehran, Iran. I pursued my PhD in Industrial Engineering and Management from University of Beira Interior (UBI), Covilhã, Portugal. Currently, I am a Postdoc researcher in CPES. My area of expertise includes electricity markets, electric vehicles integration in power systems, renewable resources uncertainty, stochastic programming and optimization. 

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Publications

2018

Strategic Behavior of Multi-Energy Players in Electricity Markets as Aggregators of Demand Side Resources using a Bi-level Approach

Authors
Yazdani Damavandi, M; Neyestani, N; Shafie khah, M; Contreras, J; Catalao, JPS;

Publication
IEEE Transactions on Power Systems

Abstract

2018

Effects of PEV Traffic Flows on the Operation of Parking Lots and Charging Stations

Authors
Neyestani, N; Damavandi, MY; Chicco, G; Catalao, JPS;

Publication
IEEE Transactions on Smart Grid

Abstract
The introduction of plug-in electric vehicles (PEVs) in the electrical system is bringing various challenges. The main issue is incorporating the PEV owner’s preferences in the models. One of the main attributes representing the preference of the owners is their travel purposes, impacting on the traffic flow pattern. The PEVs’ traffic pattern defines the required charging schedule of the PEVs and consequently characterizes the operation of the charging facilities such as PEV parking lots (PLs). The deployment of resources such as PEV PL requires a detailed modeling of the factors affecting their operation. In this regard, this paper aims to model the power flow of the PEVs based on their traffic flow. Different travel types and purposes are considered for the PEVs traffic modeling. Two types of charging infrastructure (i.e., PLs and individual charging stations) are considered. The study is performed on a distribution network categorized based on the consumption patterns of the zones. IEEE

2017

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

Authors
Neyestani, N; Damavandi, MY; Shafie Khah, M; Bakirtzis, AG; Catalao, JPS;

Publication
IEEE TRANSACTIONS ON POWER SYSTEMS

Abstract
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 problem is constructed where in the upper level the objective of the aggregator is to maximize its profit through its interactions, and in the lower level the PL maximizes its own profit limited to the preferences of PEVs. The objectives of the upper and lower levels are contradictory; hence, an equilibrium point should be found to solve the problem. In this regard, the duality theorem is employed to convert the bilevel model to a mathematical program with equilibrium constraints. The model is implemented on the IEEE 37-bus network with added distributed generations. Various cases are thoroughly investigated and conclusions are duly drawn.

2017

Assessing the effectiveness of decision making frameworks in local energy systems

Authors
Damavandi, MY; Neyestani, N; Shafie khan, M; Chicco, G; Catalao, JPS;

Publication
Proceedings - 2017 International Conference on Modern Power Systems, MPS 2017

Abstract
This paper investigates the effectiveness of using different decision-making frameworks in local energy systems (LES) through the assessment of the long-term equilibrium of energy players. For this purpose, the energy system is modelled through two levels of multi-energy player (MEP) and LES, coupled by energy price signals. The conflict between the decision-making of these two levels of players is modelled through a bi-level approach. A mathematical problem with equilibrium constraint is formulated by applying the duality theory, resorting to a linear representation of the constraints. The solution is found by using the CPLEX12 solver. The numerical results show the characteristics of the MEP behaviour in different energy aggregation modes for the LES, with centralised management or uniform pricing. The MEP may find benefits from possible synergies among the LES due to availability of energy carriers with complementary characteristics. © 2017 IEEE.

2017

Modeling the Cross Impact of Multi-Energy Player's Price Equilibrium in Retail and Wholesale Markets

Authors
Damavandi, MY; Neyestani, N; Bahramara, S; Shafie khah, M; Catalao, JPS;

Publication
2017 IEEE MANCHESTER POWERTECH

Abstract
Integration of emerging energy resources in distribution level reveals new opportunities for decision makers to coordinate various energy vectors under the concept of multi-energy system (MES). In this paper, the behavior of a multi-energy player (MEP) who can trade more than one energy carrier to enhance operational flexibility of MES has been investigated. MEP participates in retail and wholesale energy markets to maximize its profit. The strategic behavior of MEP in these two markets is modeled as two synchronized bi-level problems. The problem is linearized and solved through CPLEX 12 solver. Numerical results show the behavior of MEP as a prosumer in the electricity market to make a smother demand and price profile. Moreover, the results reveal a mutual effect of local and wholesale equilibrium prices by increasing the market share of MEP.