Mehrdad Setayesh Nazar

• PhD
• Professor (Associate) at Shahid Beheshti University

This paper proposes an optimal scheduling problem model for multi-carrier energy systems (MCESs) considering electrical, heating, and cooling energy markets. The MCES transacts energy with multiple distributed energy resources. Further, the MCES has multi-carrier energy resources. The main contribution of this paper is that the model simultaneously...

This paper presents an algorithm for optimal resilient allocation of Mobile Energy Storage Systems (MESSs) for an active distribution system considering the microgrids coordinated bidding process. The main contribution of this paper is that the impacts of coordinated biddings of microgrids on the allocation of MESSs in the day-ahead and real-time m...

This paper presents a novel method for resiliency assessment of the distribution system considering smart homes' arbitrage strategies in the day-ahead and real-time markets. The main contribution of this paper is that the impacts of smart homes' arbitrage strategy on the resilient operation of the distribution system are explored. The optimal commi...

This book chapter introduces an algorithm for optimal operational planning of heat and electricity systems integrating the commitment scenarios of smart buildings. The energy system commits energy resources to supply consumers, transacts electricity with smart buildings, and minimizes the unserved critical heating and electrical loads in contingent...

This paper presents a multi-level optimization framework for power system operators' joint electricity markets capacity-withholding assessment. The main contribution of this research is that three capacity-withholding indices are introduced for day-ahead, intra-day, and real-time scheduling of the system that detect the capacity withholding and arb...

یک ریزشبکه هوشمند، غالبا متشکل از منابع تولید پراکنده، سیستم‌های تولید توان تجدیدپذیر بادی و فتوولتاییک، سیستم‌های ذخیره‌ساز انرژی و بار پاسخگو مدل‌سازی می‌گردد. استراتژی بهینه کارکرد این ریزشبکه، عمدتاً با هدف به حداقل رساندن هزینه عملیاتی ریزشبکه با در نظر گرفتن پاسخ بار می‌باشد. در مدل‌های بهینه‌سازی ارایه شده، بهره‌برداری از ریزشبکه با پاسخ بار...

This article presents a distributed resilient demand response program integrated with electrical energy storage systems for residential consumers to maximize their comfort level. A dynamic real-time pricing method is proposed to determine the hourly electricity prices and schedule the electricity consumption of smart home appliances and energy stor...

This paper presents a two-level optimization model for the optimal scheduling of a smart grid. The smart grid operator transacts electricity and ancillary services with plug-in hybrid electric vehicle parking lot aggregators, and demand response aggregators. To tackle with carbon footprints reduction and contributing to global warming mitigation, t...

This paper presents a multi-stage day-ahead and real-time optimization algorithm for scheduling of system’s energy resources in the normal and external shock operational conditions. The main contribution of this paper is that the model considers the non-utility electricity generation facilities capacity withholding opportunities in the optimal sche...

This paper addresses an integrated framework for the dynamic capacity withholding assessment of an independent system operator that determines the mid-term maintenance scheduling of generation companies and day-ahead scheduling of wholesale market participants. The main contribution of this research is that two dynamic capacity-withholding indices...

This book chapter presents a short-term load, locational marginal price, and optimal topology-forecasting procedure for a distribution system that utilizes fossil-fueled distributed generation units. An intelligent hybrid model is proposed for forecasting of price and load based on mutual information and Kalman-Kohonen feature selection. The propos...

This paper presents a novel iterative three-level optimization framework for the optimal resilient operational scheduling of a smart grid. The main contribution of this paper is that the proposed framework simulates the day-ahead and real-time pre-event preventive and post-event corrective actions for external shocks and explores the effectiveness...

This chapter introduces a framework for expansion planning of multi-carrier energy system that utilizes energy resources to supply the electrical and heating loads. The multi-carrier energy system transacts electricity with the downward active microgrids and considers the impacts of their contribution on its expansion planning exercise. The propose...

This chapter introduces a scheduling algorithm for an active multi-carrier energy system that transacts energy with its downward nonutility energy hubs. The system utilizes combined heat and power units, gas-fired distributed energy systems, thermal and cooling energy storages, electrical storage systems, and energy generation facilities. Further,...

This paper focuses on finding the best way to allocate renewable energy resources, such as household wind turbines and solar panels, within a test distribution network to lower long-term operational costs. To evaluate the effectiveness of the proposed method, the study uses two test systems: a 21-bus system and a 123-bus system. The results show th...

This book chapter presents a multilevel optimization framework for resilient multienergy carrier distribution system day-ahead scheduling problem. The energy distribution system utilizes distributed energy resources to supply its consumers. Further, the nonutility parking lots of plug-in hybrid electric vehicle aggregators (PHEVAs) and electrical e...

This paper addresses a hierarchical framework for the energy resources and network expansion planning of an Energy Distribution Company (EDC) that supplies its downward Active Industrial MicroGrids (AIMGs) with hot water and/or steam and electricity through its district heating and electric grid, respectively. The main contribution of this paper is...

This paper provides a six-level integrated optimization framework for a distribution system that transacts energy with upward electricity market and downward active microgrids in day-ahead and real-time horizons. The proposed method uses a risk-averse formulation and the distribution system utilizes multiple combined heating and power units, distri...

This paper presents a two-level optimization problem for optimal day-ahead scheduling of an active distribution system that utilizes renewable energy sources, distributed generation units, electric vehicles, and energy storage units and sells its surplus electricity to the upward electricity market. The active distribution system transacts electric...

This chapter Optimal microgrid operational planning Optimal Microgrid Operational Planning (OMOP) considering Wind and photovoltaic power generations, Combined Heat and Power (CHP) generation units, electrical energy storages Interruptible Loads (ILs). The problem explores the optimal Maintenance scheduling and Operational planning of a microgrid....

With increasing penetration of distributed generations, the importance of the voltage stability assessment of distribution networks has been increased. Considering this situation, a probabilistic model is proposed to evaluate the voltage stability of distribution network integrating wind turbine (WT) units. With this intention, a probabilistic volt...

This paper addresses the network expansion planning of an active microgrid that utilizes Distributed Energy Resources (DERs). The microgrid uses Combined Cooling, Heating and Power (CCHP) systems with their heating and cooling network. The proposed method uses a bi-level iterative optimization algorithm for optimal expansion and operational plannin...

This paper addresses a framework for expansion planning of an active distribution network (ADS) that supplies its downward active microgrids (AMGs) and it participates in the upward wholesale market to sell its surplus electricity. The proposed novel model considers the impact of coordinated and uncoordinated bidding of AMGs and demand response pro...

This chapter presents an approach for Resilient Distribution System Expansion Planning (RDSEP) considering gas-fired Non-utility DGs (NUDGs) and Demand Side Providers (DRPs). The RDSEP method explores the NUDGs and DRPs impacts on the planning paradigm. The RDSEP problem is decomposed into multi sub-problems that optimize investment, operational an...

This chapter presents an approach for robust microgrid expansion planning (RMEP) considering intermittent power generations (IPGs) and responsive loads (RLs). A framework for RMEP is presented based on stochastic-robust optimization for the optimal presence of active microgrid in the electricity market taking into account the IPGs/RLs and contingen...

Short-term load and price forecasting is an important issue in the optimal operation of restructured electric utilities. This paper presents a new intelligent hybrid three-stage model for simultaneous load and price forecasting. The proposed algorithm uses wavelet and Kalman machines for the first stage load and price forecasting. Each of the load...

This chapter presents an approach for Integrated Distributed Generation and primary-secondary network Expansion Planning (IDGNEP) in the presence of wholesale and retail markets. The presented method uses a unified model to explore the impacts of retail market participants on the IDGNEP procedure. While the theory and practice of IDGNEP have advanc...

From the voltage stability viewpoint, a proper probabilistic analysis of the active distribution networks is essential for distribution system operator to identify and rank the weak buses of system. This paper introduces a probabilistic voltage stability index (VSI) to study the local stability of radial distribution networks including wind generat...

There are several reasons why participants, namely conventional participants, and moreover, wind power producers, have been facing an inevitable uncertainty problem in the current short-term electricity market; one reason is the stochastic nature of market prices, and the other is the wind output power uncertainty. To relive the undesirable effects...

This paper addresses optimal day-ahead scheduling of Combined Heat and Power (CHP) units of an Active Distribution Network (ADN) with Electric Storage Systems (ESS) and Thermal Storage Systems (TSS) considering Industrial Customers (ICs) inter-zonal power exchanges. The ADN operator may use CHP units to supply its ICs and based on smart grid concep...

The Optimal day-ahead Scheduling of Combined Heat and Power (OSCHP) units is a crucial problem in the energy management of Active Distribution Networks (ADNs), especially in the presence of Electrical and Thermal Energy Storages considering Load Commitment (LC) programs. The ADN operator may use Combined Heat and Power (CHP) units to supply its Ind...

Introducing Combined Heat and Power (CHP) units into Active Distribution Network (ADN) can significantly affect the problem of optimal generation scheduling. A new method for solving the problem of Optimal Scheduling of Combined Heat and Power (OSCHP) units of an ADN with Electric Storage Systems (ESSs) and Thermal Storage Systems (TSSs) considerin...

Abstract: With the development of distributed generation sources in the industrial microgrids (IMGs), the energy management problem for optimal scheduling of production and consumption is used to reduce the operation cost. By restructuring in power systems and increasing energy prices in some hours of the day, the demand side management programs ar...

In oligopoly power markets, maintenance of equipments may be scheduled strategically for exercising capacity withholding. In this study, an approach for analysing the capacity withholding of generation companies (GenCos) considering integrated generation and transmission maintenance scheduling (IGTMS) is proposed. This approach is based on some ind...

The simultaneity of power systems development and uncertainty of system elements has promoted the importance of probabilistic load flow (PLF) in the operating and planning studies of the system. This clarifies that the use of the fast and accurate approaches for PLF computation is necessary. To achieve this objective, this study presents an analyti...

Purpose The purpose of this paper is to present a new cumulant-based method, based on the properties of saddle-point approximation (SPA), to solve the probabilistic load flow (PLF) problem for distribution networks with wind generation. Design/methodology/approach This technique combines cumulant properties with the SPA to improve the analytical a...

Virtual power plant (VPP) concept was developed to integrate distributed energy resources (DERs) into the grid in order that they are seen as a single power plant by the market and power system operator. Therefore, VPPs are faced with optimal bidding, and identifying arbitrage opportunities in a market environment. In this study, the authors presen...

In an oligopoly electricity market, generation companies (GenCos) are often able to exercise market power through capacity withholding. This study proposes a comprehensive approach for evaluating the capacity withholding of GenCos in the presence of network constraints in electricity markets. The Cournot-Nash equilibrium model for GenCos is conside...

The growing need of energy sources especially in industrial countries and the shortage of the fossil resources cause a great concern in many countries. Considering that in some periods of the day the energy price is increased, Demand side management is one of the solutions that is implemented. The major change in demand side management is considera...

Unit commitment programming to optimize resources, minimize the cost of power generation in compliance with the relevant constraints. Consolidated restructuring in power systems, electrical power prices and fuel price increases in some hours and caused demand side management is more interested by consumers. In this paper, the impact of optimal impl...

In this paper an improved mathematical model is recommended as a noteworthy option for distribution companies (DISCOs) in order to solve Distribution Network Expansion Planning (DNEP) problem in the presence of certain resources of Distributed Generations (DGs) entitled small scale Gas Engines in the medium voltage grids. The recommended model with...

Due to growing demand of the electric energy, the need to generation expansion planning is inevitable. In this paper at first effective criteria in Generation Expansion Planning (GEP) are determined and a novel approach for GEP is proposed. In this approach Fuzzy-Analytical Hierarchy Process (FAHP) is utilized for GEP. The Fuzzy is one of the tech...

Abstract-Demand Side Management (DSM) is one of the most important methods that is used to maximize the benefits of electric power market participants. Demand Response (DR) are methods from DSM that can be defined as the changes in electric usage by end-use customers from their normal consumption patterns in response to changes in the price of elec...

Generation maintenance scheduling (GMS) is an important and effective part of Generation expansion planning (GEP) problem. Preventive-maintenance schedules need to be optimized to trade-off between two conflicting objectives, reducing the overall cost and improving the reliability. This paper presents a multi-objective binary gravitational search...

SUMMARY Market power evaluation and mitigation influence the efficiency of the electricity markets. The traditional indices cannot analyze market power, which caused by capacity withholding of generation companies. This paper describes a new approach to assess capacity withholding. The method is an improvement of a strategy previously proposed by t...

Abstract-Due to growing demand of the electric energy, the need to transmission expansion planning is inevitable. In this paper at first the effective criteria in transmission Expansion Planning (TEP) are determined and a novel approach for TEP is proposed. In this approach Analytical Hierarchy Process (AHP) and entropy technique are utilized for T...

This paper presents a novel approach for Integrated Generation and Primary–Secondary Distribution System Expansion Planning (IGDSEP) in the presence of wholesale and retail markets. The proposed method uses a model to explore the impacts of wholesale and retail market on IGDSEP procedure. This algorithm decomposes the IGDSEP problem into six subpro...

In this paper an improved mathematical model is recommended as a noteworthy option for distribution companies (DISCOs) in order to solve Distribution Network Expansion Planning (DNEP) problem in the presence of certain resources of Distributed Generations (DGs) entitled small scale Gas Engines in the medium voltage grids. The recommended model with...

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This paper presents a novel approach for optimal electric distribution system expansion planning (OEDSEP) using a hybrid energy hub concept. The proposed method uses an energy hub model to explore the impacts of energy carrier systems on OEDSEP procedure. This algorithm decomposes the OEDSEP problem into three subproblems to achieve an optimal expa...

This Paper describes a new method for multiobjective coordination of demand side management procedures for corrective actions. This method relies on a two stage very fast simulated reannealing and is capable to recognize the effectiveness of corrective action of demand side. A number of cases are presented to illustrate the consequences of introduc...