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Mohammad Masih Sediqi
Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, Japan

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Journal article
Published: 20 August 2019 in Sustainability
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This paper focuses on the optimal unit commitment (UC) scheme along with optimal power trading for the Northeast Power System (NEPS) of Afghanistan with a penetration of 230 MW of PV power energy. The NEPS is the biggest power system of Afghanistan fed from three main sources; 1. Afghanistan’s own power generation units (three thermal units and three hydro units); 2. imported power from Tajikistan; 3. imported power from Uzbekistan. PV power forecasting fluctuations have been handled by means of 50 scenarios generated by Latin-hypercube sampling (LHS) after getting the point solar radiation forecast through the neural network (NN) toolbox. To carry out the analysis, we consider three deterministic UC and two stochastic UC cases with a two-stage programming model that indicates the day-ahead UC as the first stage and the intra-day operation of the system as the second stage. A binary-real genetic algorithm is coded in MATLAB software to optimize the proposed cases in terms of thermal units’ operation costs, import power tariffs, as well as from the perspective of the system reliability risks expressed as the reserve and load not served costs. The results indicate that in the deterministic UC models, the risk of reserve and load curtailment does exist. The stochastic UC approaches including the optimal power trading are superior to the deterministic ones. Moreover, the scheduled UC costs and reserves are different from the actual ones.

ACS Style

Mohammad Masih Sediqi; Mohammed Elsayed Lotfy; Abdul Matin Ibrahimi; Tomonobu Senjyu; Narayanan. K. Stochastic Unit Commitment and Optimal Power Trading Incorporating PV Uncertainty. Sustainability 2019, 11, 4504 .

AMA Style

Mohammad Masih Sediqi, Mohammed Elsayed Lotfy, Abdul Matin Ibrahimi, Tomonobu Senjyu, Narayanan. K. Stochastic Unit Commitment and Optimal Power Trading Incorporating PV Uncertainty. Sustainability. 2019; 11 (16):4504.

Chicago/Turabian Style

Mohammad Masih Sediqi; Mohammed Elsayed Lotfy; Abdul Matin Ibrahimi; Tomonobu Senjyu; Narayanan. K. 2019. "Stochastic Unit Commitment and Optimal Power Trading Incorporating PV Uncertainty." Sustainability 11, no. 16: 4504.

Journal article
Published: 12 December 2018 in IFAC-PapersOnLine
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A landlocked country, Afghanistan, located between energy surplus regions and energy deficit areas is blessed with abundant renewable energy sources (RESs) which can exploit not only to cover its power demand but also to earn remarkable export revenue. This paper focuses on generation scheduling problem along with the optimal sizing of the hybrid renewable energy system (HRES) integrated with the northeast power system (NEPS) of Afghanistan to electrify northeast region of Afghanistan as well as to meet power shortages of Afghanistan’s longest shared border neighbor, Pakistan. The NEPS of Afghanistan is an isolated power system supplied by Afghanistan’s own generations and imported powers from Uzbekistan and Tajikistan. Genetic Algorithm (GA) is used to schedule all units’ output power as well as to find the on/off status of thermal units and the optimal values of the total area occupied by the set of photovoltaic (PV) panels, total swept area by the rotating turbines’ blades and the volume of the upper reservoir of pumped hydro energy storage (PHES) system. The objective of this research is to minimize the total operation cost of thermal units, aggregate imports power tariffs, and the total net present cost of HRES and to maximize the income from selling electricity to Pakistan.

ACS Style

Mohammad Masih Sediqi; Abdul Matin Ibrahimi; Mir Sayed Shah Danish; Tomonobu Senjyu; Shantanu Chakraborty; Paras Mandal. An Optimization Analysis of Cross-border Electricity Trading between Afghanistan and its Neighbor Countries. IFAC-PapersOnLine 2018, 51, 25 -30.

AMA Style

Mohammad Masih Sediqi, Abdul Matin Ibrahimi, Mir Sayed Shah Danish, Tomonobu Senjyu, Shantanu Chakraborty, Paras Mandal. An Optimization Analysis of Cross-border Electricity Trading between Afghanistan and its Neighbor Countries. IFAC-PapersOnLine. 2018; 51 (28):25-30.

Chicago/Turabian Style

Mohammad Masih Sediqi; Abdul Matin Ibrahimi; Mir Sayed Shah Danish; Tomonobu Senjyu; Shantanu Chakraborty; Paras Mandal. 2018. "An Optimization Analysis of Cross-border Electricity Trading between Afghanistan and its Neighbor Countries." IFAC-PapersOnLine 51, no. 28: 25-30.

Journal article
Published: 08 January 2018 in IEEE Access
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Nowadays, the installations of photovoltaics (PVs) in the smart grid have been growing dramatically because the price of PVs is falling drastically. Undoubtedly, this is a great achievement for the recent smart grid technology. However, the colossal penetration of PVs’ power at the day-time changes the load demand of thermal generations (TGs) of a smart grid which creates duck shape load curve called duck curve. In a duck curve, peak and off-peak gaps are very large which increase the start-up cost (SUC) of TGs because the units of TGs must be turned on and turned-off frequently. Therefore, it is very significant to run TGs units optimally. Only an optimization technique is not enough to bring a good solution. This research considers concentrated solar power (CSP) and pumped storage hydroelectricity (PSH) as the energy storages. Also, fuel cells (FCs) are considered as the controllable loads in the demand side’s smart houses. In addition, this paper considers the real-time price-based demand response. The optimal unit commitment (UC) of TGs, PSHs and other generators is introduced for saving the fuel cost and SUC of TGs. The optimal results of the proposed model are determined by using MATLAB® INTLINPROG optimization toolbox. To evaluate the effectiveness of the proposed method, simulation results have been compared with some other methods.

ACS Style

Harun Or Rashid Howlader; Mohammad Masih Sediqi; Abdul Matin Ibrahimi; Tomonobu Senjyu. Optimal Thermal Unit Commitment for Solving Duck Curve Problem by Introducing CSP, PSH and Demand Response. IEEE Access 2018, 6, 4834 -4844.

AMA Style

Harun Or Rashid Howlader, Mohammad Masih Sediqi, Abdul Matin Ibrahimi, Tomonobu Senjyu. Optimal Thermal Unit Commitment for Solving Duck Curve Problem by Introducing CSP, PSH and Demand Response. IEEE Access. 2018; 6 (99):4834-4844.

Chicago/Turabian Style

Harun Or Rashid Howlader; Mohammad Masih Sediqi; Abdul Matin Ibrahimi; Tomonobu Senjyu. 2018. "Optimal Thermal Unit Commitment for Solving Duck Curve Problem by Introducing CSP, PSH and Demand Response." IEEE Access 6, no. 99: 4834-4844.

Conference paper
Published: 01 October 2017 in 2017 17th International Conference on Control, Automation and Systems (ICCAS)
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ACS Style

Masahiro Furukakoi; Mohammad Masih Sediqi; Shantanu Chakraborty; Mohamed Ahmed Moustafa Hassan; Tomonobu Senjyu. Multi-objective optimal operation with demand management and voltage stability. 2017 17th International Conference on Control, Automation and Systems (ICCAS) 2017, 383 -388.

AMA Style

Masahiro Furukakoi, Mohammad Masih Sediqi, Shantanu Chakraborty, Mohamed Ahmed Moustafa Hassan, Tomonobu Senjyu. Multi-objective optimal operation with demand management and voltage stability. 2017 17th International Conference on Control, Automation and Systems (ICCAS). 2017; ():383-388.

Chicago/Turabian Style

Masahiro Furukakoi; Mohammad Masih Sediqi; Shantanu Chakraborty; Mohamed Ahmed Moustafa Hassan; Tomonobu Senjyu. 2017. "Multi-objective optimal operation with demand management and voltage stability." 2017 17th International Conference on Control, Automation and Systems (ICCAS) , no. : 383-388.

Journal article
Published: 28 August 2017 in Journal of Energy and Power Engineering
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ACS Style

Mohammad Masih Sediqi; Masahiro Furukakoi; Mohammed E. Lotfy; Atsushi Yona; Tomonobu Senjyu. An Optimization Approach for Unit Commitment of a Power System Integrated with Renewable Energy Sources: A Case Study of Afghanistan. Journal of Energy and Power Engineering 2017, 11, 1 .

AMA Style

Mohammad Masih Sediqi, Masahiro Furukakoi, Mohammed E. Lotfy, Atsushi Yona, Tomonobu Senjyu. An Optimization Approach for Unit Commitment of a Power System Integrated with Renewable Energy Sources: A Case Study of Afghanistan. Journal of Energy and Power Engineering. 2017; 11 (8):1.

Chicago/Turabian Style

Mohammad Masih Sediqi; Masahiro Furukakoi; Mohammed E. Lotfy; Atsushi Yona; Tomonobu Senjyu. 2017. "An Optimization Approach for Unit Commitment of a Power System Integrated with Renewable Energy Sources: A Case Study of Afghanistan." Journal of Energy and Power Engineering 11, no. 8: 1.

Conference paper
Published: 01 June 2017 in 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia)
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Most of electric power companies have introduced renewable energy which increases the power system uncertainty. It is expected that it increases the surplus and deficiency in power system supply. Thus, an energy storage systems and demand response are required for adjusting supply and demand. On the other hand, the power industries are exposed to competition, and needs an optimal operation to maximize their profits. So, Unit Commitment (UC) becomes an important issue. In this paper, the optimum capacity of energy storage system and demand response for UC in proposed.

ACS Style

Masahiro Furukakoi; Mohammad Masih Sediqi; Tomonobu Senjyu; Mir Sayed Shah Danish; Abdul Motin Howlader; Mohamed Ahmed Moustafa Hassan; Toshihisa Funabashi. Optimum capacity of energy storage system considering solar radiation forecast error and demand response. 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia) 2017, 997 -1001.

AMA Style

Masahiro Furukakoi, Mohammad Masih Sediqi, Tomonobu Senjyu, Mir Sayed Shah Danish, Abdul Motin Howlader, Mohamed Ahmed Moustafa Hassan, Toshihisa Funabashi. Optimum capacity of energy storage system considering solar radiation forecast error and demand response. 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia). 2017; ():997-1001.

Chicago/Turabian Style

Masahiro Furukakoi; Mohammad Masih Sediqi; Tomonobu Senjyu; Mir Sayed Shah Danish; Abdul Motin Howlader; Mohamed Ahmed Moustafa Hassan; Toshihisa Funabashi. 2017. "Optimum capacity of energy storage system considering solar radiation forecast error and demand response." 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia) , no. : 997-1001.

Journal article
Published: 28 April 2017 in Journal of Energy and Power Engineering
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ACS Style

Mohammad Masih Sediqi; Masahiro Furukakoi; Mohammed E. Lotfy; Atsushi Yona; Tomonobu Senjyu. Optimal Economical Sizing of Grid-Connected Hybrid Renewable Energy System. Journal of Energy and Power Engineering 2017, 11, 1 .

AMA Style

Mohammad Masih Sediqi, Masahiro Furukakoi, Mohammed E. Lotfy, Atsushi Yona, Tomonobu Senjyu. Optimal Economical Sizing of Grid-Connected Hybrid Renewable Energy System. Journal of Energy and Power Engineering. 2017; 11 (4):1.

Chicago/Turabian Style

Mohammad Masih Sediqi; Masahiro Furukakoi; Mohammed E. Lotfy; Atsushi Yona; Tomonobu Senjyu. 2017. "Optimal Economical Sizing of Grid-Connected Hybrid Renewable Energy System." Journal of Energy and Power Engineering 11, no. 4: 1.

Journal article
Published: 01 January 2017 in AIMS Energy
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Afghanistan is a key country between energy surplus areas (Central Asian Republics andIran) and energy deficit regions (Pakistan and India). It is in a position that can facilitate and launchregional electricity trade for the benefit of the region also derive significant gains for its own economyfrom energy imports and exports. On the other hand, Afghanistan is endowed with large renewableenergy resources (RERs), which it could exploit not only to satisfy its domestic power demand butalso to earn significant export revenue. This paper firstly explains the methodology and framework forthe power trade and then presents an optimization framework for profit maximization in the short-runtrading and cost minimization in the long-run trading. The proposed methodology is applied to a realcase between Afghanistan and Pakistan. The objective functions, parameters, variables and constraintsare described for both optimization models. System sizing, simulation and optimization are carriedout using genetic algorithm (GA) technique. The results in the short-run model represent optimalityof about 2654 MW electricity export from Afghanistan to Pakistan during summer. Moreover, resultsderived from running long-run model depict that by utilizing its RERs such as solar, wind and hydro,Afghanistan can not only meet its power demand but also can export to Pakistan during its deficitperiods and gain remarkable energy profits

ACS Style

Mohammad Masih Sediqi; Harun Or Rashid Howlader; Abdul Matin Ibrahimi; Mir Sayed Shah Danish; Najib Rahman Sabory; Tomonobu Senjyu. Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading. AIMS Energy 2017, 5, 691 -717.

AMA Style

Mohammad Masih Sediqi, Harun Or Rashid Howlader, Abdul Matin Ibrahimi, Mir Sayed Shah Danish, Najib Rahman Sabory, Tomonobu Senjyu. Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading. AIMS Energy. 2017; 5 (4):691-717.

Chicago/Turabian Style

Mohammad Masih Sediqi; Harun Or Rashid Howlader; Abdul Matin Ibrahimi; Mir Sayed Shah Danish; Najib Rahman Sabory; Tomonobu Senjyu. 2017. "Development of renewable energy resources in Afghanistan for economically optimized cross-border electricity trading." AIMS Energy 5, no. 4: 691-717.

Conference paper
Published: 01 November 2016 in 2016 IEEE Region 10 Conference (TENCON)
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Future, transmission capacity processing capability may become the limit because of the pursuit of economic benefit and increasing renewable energy. Then, the power system is placed in severe conditions than ever. In addition, it increases the likelihood of voltage instability and voltage collapse. Therefore, voltage stability analysis is a major concern in power system operation. Voltage stability has been analyzed in a variety of ways. However, voltage stability analysis considering simultaneously both the active and reactive power in the analysis is less done because of it is difficult analysis. When considering both the active and reactive power at the same time, it is expected that voltage stability analysis is accurate. In this paper, we propose a method to improve the voltage stability of the power system by using the voltage stability index of the active power information and reactive power information of the transmission line. Installing the battery in the load substation to inject the appropriate amount of active and reactive power can improve the voltage stability of the system as shown in the simulation. In addition, it indicates further improvement of voltage stability by optimal active power and reactive power output with battery.

ACS Style

Mitsuki Sagara; Mohammad Masih Sediqi; Tomonobu Senjyu; Mir Sayed Shah Danish; Toshihisa Funabashi. Voltage stability improvement by optimal active power and reactive power output control of storage battery system. 2016 IEEE Region 10 Conference (TENCON) 2016, 2671 -2674.

AMA Style

Mitsuki Sagara, Mohammad Masih Sediqi, Tomonobu Senjyu, Mir Sayed Shah Danish, Toshihisa Funabashi. Voltage stability improvement by optimal active power and reactive power output control of storage battery system. 2016 IEEE Region 10 Conference (TENCON). 2016; ():2671-2674.

Chicago/Turabian Style

Mitsuki Sagara; Mohammad Masih Sediqi; Tomonobu Senjyu; Mir Sayed Shah Danish; Toshihisa Funabashi. 2016. "Voltage stability improvement by optimal active power and reactive power output control of storage battery system." 2016 IEEE Region 10 Conference (TENCON) , no. : 2671-2674.

Conference paper
Published: 01 November 2016 in 2016 IEEE Region 10 Conference (TENCON)
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In recent years, most of the electric utilities have been introduced renewable energy that will increase the power system uncertainty. Thus, the demand curve is hard to predict since the renewable energies fluctuate irregularly. Moreover, it is expected that it will increase the likelihood of voltage instability. In this paper, we suggest the optimal operation method for transmission systems with the uncertainty of demand prediction and voltage stability. The optimal operation that corresponds to the uncertainty of load demand and the operational maintaining the voltage stability can be achieved by the proposed method in this paper.

ACS Style

Masahiro Furukakoi; Ahamad Samim Noorzad; Mohammad Masih Sediqi; Tomonobu Senjyu. Optimal operation for transmission systems with uncertainty of demand forecasting and voltage stability. 2016 IEEE Region 10 Conference (TENCON) 2016, 1471 -1474.

AMA Style

Masahiro Furukakoi, Ahamad Samim Noorzad, Mohammad Masih Sediqi, Tomonobu Senjyu. Optimal operation for transmission systems with uncertainty of demand forecasting and voltage stability. 2016 IEEE Region 10 Conference (TENCON). 2016; ():1471-1474.

Chicago/Turabian Style

Masahiro Furukakoi; Ahamad Samim Noorzad; Mohammad Masih Sediqi; Tomonobu Senjyu. 2016. "Optimal operation for transmission systems with uncertainty of demand forecasting and voltage stability." 2016 IEEE Region 10 Conference (TENCON) , no. : 1471-1474.