
Hamid KarimiIran University of Science and Technology · Centre of Excellence for Power System Automation and Operation
Hamid Karimi
Ph.D. in Iran University of Science and Technology (IUST)
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42
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Introduction
Publications
Publications (42)
In this paper, a cooperative market mechanism is proposed to define the energy transactions and market price in multi-microgrids (MMGs). The proposed model can be used for both the grid-connected and isolated MMG as well as models with several MG owners. We use a cooperative approach that guarantees the existence of the optimal solution, while the...
12th Iranian Conference on Renewable Energies and Distributed Generation
This paper presents a multi-objective bi-level framework to model the distribution system operator’s (DSO’s) behavior in both wholesale and local electricity markets. The upper level is a multi-objective optimization problem from the DSO point of view including operation cost minimization, flexibility maximization, and peak load minimization. To th...
among microgrids in the distribution networks. In this model, the microgrids perform group decision-making to
simultaneously minimize their operating cost and energy not supplied by cooperation with other neighbor
microgrids. Each microgrid has different options for cooperation with other microgrids and each option is
considered as a strategy. Each...
Microgrids are known as a local energy system that changes the central power plants toward distributed and renewable energy resources. The microgrids provide low-cost, more efficient, and clean energy for the energy systems. Therefore, this paper presents a techno-sustainable-economic framework for the operation scheduling of multi-microgrid system...
This paper proposes a stochastic optimization problem for local integrated hydrogen-power energy systems. In the proposed model, the integrated system tries to reduce the day-ahead operation costs using dispatchable resources, renewable energy resources, battery energy storage systems, demand response programs, and energy trading with the upstream...
This paper focuses on the short-term operation management of small-scale energy systems. The proposed model integrates the cooling, heating, and electrical sections to provide more flexibility, efficiency, and economic benefits for the system. To this end, an optimization framework is performed to minimize the total costs of different sectors consi...
A R T I C L E I N F O Keywords: Multi-energy hub system Demand response program Multi-objective energy scheduling Energy storage system Sector coupling A B S T R A C T Energy hub (EH) is a multi-energy system that combines several energy sources to increase energy supply efficiency , flexibility, and reliability. In this paper, a stochastic two-ste...
This paper presents a stochastic and cooperative approach for the operation of a cluster of interconnected multienergy
systems. The proposed model investigates the interaction among energy systems with the upstream grid
and neighbor energy systems. In this model, the hydrogen systems (consisting of fuel cell, electrolyzer, and
hydrogen storage tank...
This paper solves a bi-level optimization problem in which at the first level, the distribution system operator (DSO) as a retailer tends to extract selling energy price signals so that increases its profit and reduces the peak-to-average ratio (PAR) of the MMG transactive energy; and at the second level energy management problems of non-cooperativ...
This paper presents an economic-environmental scheme for the integrated-multi-energy system to integrate the electrical, water, thermal, and cooling sections to increase the efficiency and synergy of the modern distribution grids. The industrial desalination units have been considered to provide the required potable water of customers from the brac...
This paper proposes a stochastic framework for the operation scheduling of integrated renewable-based energy
microgrid systems. The proposed model presents comprehensive scheduling that simultaneously considers total
generation costs, generation flexibility, and demand-side flexibility. This operation management approach is
modeled as the tri-layer...
This paper presents a techno economic-environmental energy scheduling framework for the multi-energy
microgrid system. The suggested model couples the electrical, heating, cooling, and water sections to enhance
the flexibility and reliability of the microgrid system. A multi-layer energy scheduling framework has been
performed to simultaneously opt...
This paper proposes multi-objective optimization framework to enhance the performance of demand response programs in distribution networks. The demand response programs are one of the main resources to enhance the flexibility of the energy systems to manage the uncertain behavior of renewable generation and demand loads. But, the uncoordinated resp...
This paper proposes a cooperative game to schedule the day-ahead operation of multi-microgrid (MMG) systems. In the proposed model, microgrids are scheduled to achieve a global optimum for the cost of the multi-microgrid system. The minimum cost is achieved by transactions of microgrids with each other. Also, price-based demand response is implemen...
This paper proposes a tri-stage energy management framework to determine the best operation planning of an energy hub system (EHS) considering economic aspects, reliability, and thermal and electrical generation flexibility. The first stage of the suggested framework focuses on the economic operation planning of EHS. The operator of EHS handles the...
In this paper, we propose a multi-time scale energy management for the networked microgrids that considers both day-ahead and real-time scheduling. The proposed multi-time scale energy management system consists of two stages. In the first stage, a stochastic two-layer framework is implemented to minimize the operating costs of the networked microg...
This paper proposes probabilistic energy management for the operation planning of multi-microgrid (MMG) systems. The proposed model considers both day-ahead and real-time scheduling to provide an effective framework in the presence of renewable energy sources. Therefore, a multi-objective two-stage (MOTS) model has been introduced that studies the...
In this paper, we propose an analytic approach to identify the best coalition among microgrids in multi-microgrid systems. The proposed model evaluates all of the strategies and ranks them from the viewpoint of MGs. At first, the utility of the strategies for each microgrid is calculated. The class of the strategies is determined by their utility,...
In this study, a cooperative game model is presented to schedule the day-ahead operation of multi-microgrid (MMG) systems. In the proposed model, microgrids are scheduled to achieve a global optimum for the cost of the multi-microgrid system. The minimum cost is achieved by transactions of microgrids with each other. Also, price-based demand respon...
This paper presents a hybrid cooperative-competitive strategy to model the transactive energy in the interconnected microgrid (ICMG) systems. The interaction between the distribution system operator (DSO) and ICMG system is formulated by a dynamic leader multi-followers framework. The DSO at the upper-level of optimization designs the transactive p...
Microgrids (MGs) play a critical role to enhance the flexibility and efficiency of the distribution systems as well as reliability and environmental problems. In this paper, we propose a two-stage multi-objective optimization framework for optimal energy management of multi-microgrid systems (MMG). The proposed model considers the total cost, energ...
Nowadays, the energy crisis is one of the most critical challenges facing countries. To deal with this crisis, instead of independently optimizing each of the energy carriers (electricity, gas, heat etc.), all carriers are considered simultaneously by a concept called multi-energy system, which not only leads to economic benefits but also has envir...
The penetration of renewable energy sources in the distribution systems had been led to the rapid development of microgrids. In this paper, a two-level energy management strategy is proposed to optimize the operation costs of the islanded networked microgrids and manage uncertainties. The proposed hybrid energy scheduling considers the surplus and...
Energy hubs (EH) are known as multi-carrier systems that integrate multiple energy resources to enable greater flexibility in the energy provision. In this study, a multi-objective decision-making framework is proposed to determine the optimal scheduling of EHs. The proposed model considers the total cost of the EH, emissions, power losses, and ave...
Energy hub systems integrate various energy sources and interconnect different energy carriers in order to enhance the flexibility of the system. In this paper, a cooperative framework is proposed in which a network of energy hubs collaborate together and share their resources in order to reduce their costs. Each hub has several sources including C...
This paper presents a cooperative strategy for the energy management of the networked microgrids. The proposed strategy considers the daily cost of the system, energy not supplied, and the independence of microgrids to determine the best plan for the microgrids. The operator of the microgrids prioritizes its objective to the main and secondary obje...
This paper proposes a leader multi-follower optimization for energy transactions in the multi-microgrid systems. The transactions of microgrids with the distribution network operator can be provided by energy internet. The distribution network operator can buy/sell energy from/to the microgrids. The upper-level of the optimization is modeled as a m...
This paper proposes a stochastic multi-objective optimization framework to design real-time pricing for trans-active energy. The energy transaction among the load-serving entity and customers is formulated as a bi-level optimization in which load-serving entity acts as the leader in the upper-level of optimization aiming to profit and reserve maxim...
In this study, a novel strategy for transactive energy in the networked microgrids is presented. This strategy consists of three stages: local optimization, global optimization, and re-local optimization. In the local optimization, the daily cost of each microgrid is minimized by local energy management systems (EMS). The results of the local optim...
In this paper, we propose a new scheme for designing multi-carrier networked microgrids. Various multi-energy carriers are utilized to form energy hubs which exchange energy with each other and the main electricity and gas networks. The proposed model considers renewable generation, diesel generators, fuel cells, energy storages, combined heat and...
In this paper, a Real Time Pricing (RTP) design is proposed for Demand Response Programs (DRP) that it increases the benefit of the consumers and Load Serving Entity (LSE), in addition, improves the load factor (LF) of the network. It is possible for consumers to buy their energy from the retail market or participate in the LSE scheme and they will...
This paper presents a cooperative multi-objective optimization for the networked microgrids energy management. We introduce the Independence Performance Index (IPI) for the MGs to reduce energy
exchange with the main grid. The system losses, voltage drop, and greenhouse gas emissions are improved when the independence of MMG is increased. Besides,...
Microgrids (MGs) are known as the optimal solution for using distributed generations in smart grids. With increasing number and capacity of MGs, the Multi-Microgrids (MMG) concept is introduced. This paper presents multi-objective energy management for MMGs. The MMG has various local energy resources such as Photovoltaic (PV) panels, Wind Turbines...
In this paper, a novel real time pricing design is presented for Demand Response (DR) programs. A Load Serving Entity (LSE) is responsible to provide energy for flexible loads, inflexible loads and thermal loads. The LSE consider operation conditions of system and uncertainty of renewable energy resources and it designs a Real Time Price (RTP) dema...
Electric energy consumption is progressively increased requiring new investments in the network to meet. Demand response programs (DRPs) are of practical tools to defer and/or decrease these investments. In this study, a real-time DRP is proposed to promote consumer participation in the energy delivery. The proposed DRP is designed on behalf of the...
In this paper, energy management of Multi Microgrids (MMG) has been investigated. These microgrids are expected to minimize their costs as well as their dependency on the grid using energy transactions among each other. Energy resources that are considered in this study are non-dispatchable renewable energy sources Contains Wind Turbines (WT) and P...