Due to the growth of renewable energy sources in power distribution networks, intermittent nature... more Due to the growth of renewable energy sources in power distribution networks, intermittent nature of these resources can reduce the reliability of the system caused by the lack of precise determination of required reserve in some hours of operation. In this paper, a new formulation of reliability indices is proposed involving the forecast errors of the renewable generations and multiple outage events of thermal and renewable units. The developed indices are applied to more accurate stochastic reserve allocation in a micro-grid. The customers are considered to participate in both energy and reserve dayahead scheduling through price-based and incentive-based demand response programs. A new bi-level method incorporating particle swarm optimization and differential evolution algorithms is proposed to solve the problem. At the first level, optimal energy and reserve offers are found from the bids of demand side participants to maximize the profit of the customers and used in the second level to minimize the operating cost of the micro-grid. Obtained results from a case study on a typical microgrid test system demonstrated that the proposed method allocate the optimal reserve to each provider in each reliability level defined by system operator, despite the intermittent and uncertain output of the renewable resources.
International Journal of Emerging Electric Power Systems, Nov 17, 2005
This paper proposes a new bid based redispatching method to relieve congestion in a pool type mar... more This paper proposes a new bid based redispatching method to relieve congestion in a pool type market, based on bilateral generation exchanges between generation units. Sensitivity analysis is used to find and implement the cheapest consecutive bilateral exchanges that would remove congestion in an iterative process. Congestion cost is calculated as exchange cost during congestion removal and is divided between congested parts using load flow results in each iteration. Divided cost is recovered from consumers, based on their relative contributions on congested parts using generalized load distribution factors. IEEE 39 and 118 bus test systems are used for case study to evaluate the merits of proposed method and the results are discussed in comparison with other conventional methods.
ABSTRACT This paper proposes a new technique to manage congestion in a short-run market model. Th... more ABSTRACT This paper proposes a new technique to manage congestion in a short-run market model. The method consists of an iterative algorithm to search and apply a sequence of bilateral power exchanges among the generators that would optimally reduce and completely remove the congestions. A combination of fuzzy decision principle and sensitivity analysis is developed to choose the best exchange and AC load flow is used to apply it on the network in the iterations. The effectiveness of the proposed approach is illustrated in a case study on IEEE 118-bus system, and results are discussed in the paper in comparison with the mathematical and evolutionary-based optimization techniques.
Due to the growth of renewable energy sources in power distribution networks, intermittent nature... more Due to the growth of renewable energy sources in power distribution networks, intermittent nature of these resources can reduce the reliability of the system caused by the lack of precise determination of required reserve in some hours of operation. In this paper, a new formulation of reliability indices is proposed involving the forecast errors of the renewable generations and multiple outage events of thermal and renewable units. The developed indices are applied to more accurate stochastic reserve allocation in a micro-grid. The customers are considered to participate in both energy and reserve dayahead scheduling through price-based and incentive-based demand response programs. A new bi-level method incorporating particle swarm optimization and differential evolution algorithms is proposed to solve the problem. At the first level, optimal energy and reserve offers are found from the bids of demand side participants to maximize the profit of the customers and used in the second level to minimize the operating cost of the micro-grid. Obtained results from a case study on a typical microgrid test system demonstrated that the proposed method allocate the optimal reserve to each provider in each reliability level defined by system operator, despite the intermittent and uncertain output of the renewable resources.
International Journal of Electrical Power & Energy Systems, 2012
This paper presents a dynamic multi objective model for distribution network expansion, consideri... more This paper presents a dynamic multi objective model for distribution network expansion, considering the distributed generators (DGs) and network reinforcements. The proposed model simultaneously optimizes three objective functions namely, total cost, emission cost and technical satisfaction (voltage profile) by finding the optimal schemes of timing, sizing, placement and DG technologies in a long term planning period (dynamic planning). The importance of each objective function can be changed in the interactive steps. The calculation algorithm is based on Chaotic Local Search with Modified Honey Bee Mating Optimization (CLSMHBMO). The effectiveness of the proposed model and the calculation method are demonstrated through different studies and comparative analysis on an actual distribution network.
International Journal of Power and Energy Conversion, 2012
In power system, the application of the power system stabiliser (PSS) has been proved to overcome... more In power system, the application of the power system stabiliser (PSS) has been proved to overcome the stability of power system. It is necessary to determine the appropriate PSS parameters. In this paper, a new cost function is presented for the tuning of PSS parameters. Optimisation of PSS parameters has been done by particle swarm optimisation algorithm. The power plant system that is simulated in this paper is one machine to infinite bus system. The responses of the PSS tuned with PSO and conventional power system stabiliser (CPSS) are compared with together.
Abstract–This paper proposes a simultaneous approach to manage congestion, evaluate congestion co... more Abstract–This paper proposes a simultaneous approach to manage congestion, evaluate congestion cost, and to allocate this cost among consumers in a short-run market model. The proposed method consists of an iterative algorithm to search and apply a sequence of ...
This paper presents a short term multi-objective planning model for Distributed Generators (DGs) ... more This paper presents a short term multi-objective planning model for Distributed Generators (DGs) deployment in an electrical network. "Total Cost" and "Emission Cost" are two objective functions which have been going to be minimized in this model by finding the optimal schemes of sizing, placement and DG technologies over a short planning period (static planning). The proposed model can be used for a long term planning period (dynamic planning) in order to consider the timing concept. An interactive fuzzy satisfying method based on Chaotic Local Search and Modified Honey Bee Mating Optimization (CLS-MHBMO) is used to choose the final solution. The effectiveness of the proposed model and search method are assessed and demonstrated by various studies on an actual distribution network.
International Journal of Emerging Electric Power Systems, 2005
This paper proposes a new bid based redispatching method to relieve congestion in a pool type mar... more This paper proposes a new bid based redispatching method to relieve congestion in a pool type market, based on bilateral generation exchanges between generation units. Sensitivity analysis is used to find and implement the cheapest consecutive bilateral exchanges that would remove congestion in an iterative process. Congestion cost is calculated as exchange cost during congestion removal and is divided between congested parts using load flow results in each iteration. Divided cost is recovered from consumers, based on their relative contributions on congested parts using generalized load distribution factors. IEEE 39 and 118 bus test systems are used for case study to evaluate the merits of proposed method and the results are discussed in comparison with other conventional methods.
For link power generations to industrial centers transmission lines must cross hundreds of kilome... more For link power generations to industrial centers transmission lines must cross hundreds of kilometers. There are a large number of line sleeves, pylons, tension insulators in this way. The line sleeves on power transmission line connect two conductors while the transmission line is constructing. However, the line sleeves sometimes cause transmission line break down, because the line sleeves are deteriorated and decayed by natural factors such as firelight, acid rain and etc. When the transmission line is broken, the economic loss is huge. Therefore the line sleeves on power transmission lines should be inspected periodically to prevent power failure, to speed up inspection since 2002, over 20 inspection robots have been developed in the world. One of the most important factor in the transmission line robot was robot's energy, this paper proposed a new generation of inspection robot for transmission lines which consist of propeller aircraft engine and photovoltaic (PV) array for feeding the electric servo motor and brushless DC motor. Propeller engine not only makes forward force but also by cooling PV array can be increased efficiency.
Due to the growth of renewable energy sources in power distribution networks, intermittent nature... more Due to the growth of renewable energy sources in power distribution networks, intermittent nature of these resources can reduce the reliability of the system caused by the lack of precise determination of required reserve in some hours of operation. In this paper, a new formulation of reliability indices is proposed involving the forecast errors of the renewable generations and multiple outage events of thermal and renewable units. The developed indices are applied to more accurate stochastic reserve allocation in a micro-grid. The customers are considered to participate in both energy and reserve dayahead scheduling through price-based and incentive-based demand response programs. A new bi-level method incorporating particle swarm optimization and differential evolution algorithms is proposed to solve the problem. At the first level, optimal energy and reserve offers are found from the bids of demand side participants to maximize the profit of the customers and used in the second level to minimize the operating cost of the micro-grid. Obtained results from a case study on a typical microgrid test system demonstrated that the proposed method allocate the optimal reserve to each provider in each reliability level defined by system operator, despite the intermittent and uncertain output of the renewable resources.
International Journal of Emerging Electric Power Systems, Nov 17, 2005
This paper proposes a new bid based redispatching method to relieve congestion in a pool type mar... more This paper proposes a new bid based redispatching method to relieve congestion in a pool type market, based on bilateral generation exchanges between generation units. Sensitivity analysis is used to find and implement the cheapest consecutive bilateral exchanges that would remove congestion in an iterative process. Congestion cost is calculated as exchange cost during congestion removal and is divided between congested parts using load flow results in each iteration. Divided cost is recovered from consumers, based on their relative contributions on congested parts using generalized load distribution factors. IEEE 39 and 118 bus test systems are used for case study to evaluate the merits of proposed method and the results are discussed in comparison with other conventional methods.
ABSTRACT This paper proposes a new technique to manage congestion in a short-run market model. Th... more ABSTRACT This paper proposes a new technique to manage congestion in a short-run market model. The method consists of an iterative algorithm to search and apply a sequence of bilateral power exchanges among the generators that would optimally reduce and completely remove the congestions. A combination of fuzzy decision principle and sensitivity analysis is developed to choose the best exchange and AC load flow is used to apply it on the network in the iterations. The effectiveness of the proposed approach is illustrated in a case study on IEEE 118-bus system, and results are discussed in the paper in comparison with the mathematical and evolutionary-based optimization techniques.
Due to the growth of renewable energy sources in power distribution networks, intermittent nature... more Due to the growth of renewable energy sources in power distribution networks, intermittent nature of these resources can reduce the reliability of the system caused by the lack of precise determination of required reserve in some hours of operation. In this paper, a new formulation of reliability indices is proposed involving the forecast errors of the renewable generations and multiple outage events of thermal and renewable units. The developed indices are applied to more accurate stochastic reserve allocation in a micro-grid. The customers are considered to participate in both energy and reserve dayahead scheduling through price-based and incentive-based demand response programs. A new bi-level method incorporating particle swarm optimization and differential evolution algorithms is proposed to solve the problem. At the first level, optimal energy and reserve offers are found from the bids of demand side participants to maximize the profit of the customers and used in the second level to minimize the operating cost of the micro-grid. Obtained results from a case study on a typical microgrid test system demonstrated that the proposed method allocate the optimal reserve to each provider in each reliability level defined by system operator, despite the intermittent and uncertain output of the renewable resources.
International Journal of Electrical Power & Energy Systems, 2012
This paper presents a dynamic multi objective model for distribution network expansion, consideri... more This paper presents a dynamic multi objective model for distribution network expansion, considering the distributed generators (DGs) and network reinforcements. The proposed model simultaneously optimizes three objective functions namely, total cost, emission cost and technical satisfaction (voltage profile) by finding the optimal schemes of timing, sizing, placement and DG technologies in a long term planning period (dynamic planning). The importance of each objective function can be changed in the interactive steps. The calculation algorithm is based on Chaotic Local Search with Modified Honey Bee Mating Optimization (CLSMHBMO). The effectiveness of the proposed model and the calculation method are demonstrated through different studies and comparative analysis on an actual distribution network.
International Journal of Power and Energy Conversion, 2012
In power system, the application of the power system stabiliser (PSS) has been proved to overcome... more In power system, the application of the power system stabiliser (PSS) has been proved to overcome the stability of power system. It is necessary to determine the appropriate PSS parameters. In this paper, a new cost function is presented for the tuning of PSS parameters. Optimisation of PSS parameters has been done by particle swarm optimisation algorithm. The power plant system that is simulated in this paper is one machine to infinite bus system. The responses of the PSS tuned with PSO and conventional power system stabiliser (CPSS) are compared with together.
Abstract–This paper proposes a simultaneous approach to manage congestion, evaluate congestion co... more Abstract–This paper proposes a simultaneous approach to manage congestion, evaluate congestion cost, and to allocate this cost among consumers in a short-run market model. The proposed method consists of an iterative algorithm to search and apply a sequence of ...
This paper presents a short term multi-objective planning model for Distributed Generators (DGs) ... more This paper presents a short term multi-objective planning model for Distributed Generators (DGs) deployment in an electrical network. "Total Cost" and "Emission Cost" are two objective functions which have been going to be minimized in this model by finding the optimal schemes of sizing, placement and DG technologies over a short planning period (static planning). The proposed model can be used for a long term planning period (dynamic planning) in order to consider the timing concept. An interactive fuzzy satisfying method based on Chaotic Local Search and Modified Honey Bee Mating Optimization (CLS-MHBMO) is used to choose the final solution. The effectiveness of the proposed model and search method are assessed and demonstrated by various studies on an actual distribution network.
International Journal of Emerging Electric Power Systems, 2005
This paper proposes a new bid based redispatching method to relieve congestion in a pool type mar... more This paper proposes a new bid based redispatching method to relieve congestion in a pool type market, based on bilateral generation exchanges between generation units. Sensitivity analysis is used to find and implement the cheapest consecutive bilateral exchanges that would remove congestion in an iterative process. Congestion cost is calculated as exchange cost during congestion removal and is divided between congested parts using load flow results in each iteration. Divided cost is recovered from consumers, based on their relative contributions on congested parts using generalized load distribution factors. IEEE 39 and 118 bus test systems are used for case study to evaluate the merits of proposed method and the results are discussed in comparison with other conventional methods.
For link power generations to industrial centers transmission lines must cross hundreds of kilome... more For link power generations to industrial centers transmission lines must cross hundreds of kilometers. There are a large number of line sleeves, pylons, tension insulators in this way. The line sleeves on power transmission line connect two conductors while the transmission line is constructing. However, the line sleeves sometimes cause transmission line break down, because the line sleeves are deteriorated and decayed by natural factors such as firelight, acid rain and etc. When the transmission line is broken, the economic loss is huge. Therefore the line sleeves on power transmission lines should be inspected periodically to prevent power failure, to speed up inspection since 2002, over 20 inspection robots have been developed in the world. One of the most important factor in the transmission line robot was robot's energy, this paper proposed a new generation of inspection robot for transmission lines which consist of propeller aircraft engine and photovoltaic (PV) array for feeding the electric servo motor and brushless DC motor. Propeller engine not only makes forward force but also by cooling PV array can be increased efficiency.
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Papers by Abbas Fattahi