S. Al-Agtash

Yarmouk University, Arbēla, Irbid, Jordan

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Publications (16)15.07 Total impact

  • Salem Y. Al-Agtash
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    ABSTRACT: This paper presents a Supply Curve Bidding (SCB) approach that complies with the notion of the Standard Market Design (SMD) in electricity markets. The approach considers the demand-side option and Locational Marginal Pricing (LMP) clearing. It iteratively alters Supply Function Equilibria (SFE) model solutions, then choosing the best bid based on market-clearing LMP and network conditions. It has been argued that SCB better benefits suppliers compared to fixed quantity-price bids. It provides more flexibility and better opportunity to achieving profitable outcomes over a range of demands. In addition, SCB fits two important criteria: simplifies evaluating electricity derivatives and captures smooth marginal cost characteristics that reflect actual production costs. The simultaneous inclusion of physical unit constraints and transmission security constraints will assure a feasible solution. An IEEE 24-bus system is used to illustrate perturbations of SCB in constrained power networks within the framework of SDM. By searching in the neighborhood of SFE model solutions, suppliers can obtain their best bid offers based on market-clearing LMP and network conditions. In this case, electricity producers can derive their best offering strategy both in the power exchange and the long-term contractual markets within a profitable, yet secure electricity market.
    Energy 01/2010; 35(7):2886-2892. · 4.16 Impact Factor
  • Source
    S. Al-Agtash
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    ABSTRACT: Electricity trade will eventually evolve into some type of an electronic commerce structure, facilitated by a group of collaborative software agents that work according to standard regulations and strict operational and security constraints. This paper presents developing agents for electricity trade markets. We follow a standard agent design requirements and standard agent communication protocols. The results of the test case show that agents facilitate electronic trade and drive the market price closer to the marginal cost of generation supply and far away from the estimated Cournot price
    Distributed Intelligent Systems: Collective Intelligence and Its Applications, 2006. DIS 2006. IEEE Workshop on; 07/2006
  • Salem Y. Al-Agtash, Amjed A. Al-Fahoum
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    ABSTRACT: This paper presents an evolutionary negotiation process for power generating and power consuming companies in a distributed electricity market environment. The process is implemented within an electricity agent to best select a negotiation strategy that meets the underlying company objectives and interests. The negotiating agent generates a sequence of improving strategy population as the outcome of a search method modeled by the selection, crossover, and mutation genetic operators. Agents use a content specification language based on an extended object model to specify the requirements, constraints, and negotiation strategic rules, which are used by the negotiation server to conduct a negotiation. A design architecture and a framework for negotiation is presented with detailed KQML communication primitives that make up the negotiation protocol. Various software technologies have been used for implementation and tested in a C++ environment.
    Advances in Engineering Software. 01/2005;
  • H. Yamin, S. Al-Agtash, M. Shahidehpour
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    ABSTRACT: This paper presents an approach for maximizing a GENCO's profit in a constrained power market. The proposed approach considers the Interior Point Method (IPM) and Benders decomposition for solving the security-constrained optimal generation scheduling (SC-GS) problem. The master problem represents the economic dispatch problem for a GENCO which intends to optimize its profit. The formulation of the master problem does not bear any transmission network constraints. The subproblem will be used by the same GENCO to check the viability of its proposed bidding strategy in the presence of transmission network constraints. In this case if the subproblem does not yield a certain level of financial return for the GENCO or if the subproblem results in an infeasible solution of the GENCO's proposed bidding strategy, the GENCO will modify its proposed solution according to the Benders cuts that stem out of the subproblem. The study shows a more flexible scheduling paradigm for a GENCO in a competitive arena. The proposed approach proves practical for modeling the impact of transmission congestion on a GENCO's expected profit in a competitive environment.
    IEEE Transactions on Power Systems 09/2004; · 2.92 Impact Factor
  • Salem Al-Agtash, Renjeng Su
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    ABSTRACT: This paper presents economic efficiency evaluation of pool coordinated electricity markets. The evaluation accounts for the overall cost of power generation, network losses and costs, and various operational constraints. We assume a non-collusive oligopolistic competition. An iterative supply function model is used to characterize the competitive behavior of suppliers. A social welfare function is defined for PoolCo market that operates over multiple hours time span. This leads to a mixed-integer non-linear programming problem. An Augmented Lagrangian approach is used to solve iteratively for global optimal operation schedules (i.e. power generation, load, and price for each bus node) while considering constraints of different sorts. An IEEE 24-bus, eight-supplier, 17-customer test system is used for illustration. The results show deflection of electricity prices from the marginal costs of power generation. The results of 2-year (730 round) market simulations show a range of deadweight efficiency loss between 0.5
    International Journal of Electrical Power & Energy Systems - INT J ELEC POWER ENERG SYST. 01/2004; 26(4):281-289.
  • Salem Y. Al-Agtash
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    ABSTRACT: This paper presents an evolutionary negotiating agent to conduct negotiation tasks between power generating and consuming companies in electricity markets. The agent select the best negotiation strategy that meets the underlying company objectives and interests. It generates a sequence of improving strategy population as the outcome of a search modeled by the selection, crossover, and mutation genetic operators. Agents use a content specification language based on an extended object model to specify the requirements, constraints, and negotiation strategic rules, which are used by the negotiation server to conduct a negotiation. A design architecture for negotiation is presented with KQML communication primitives. Various software technologies have been used for implementation and tested in a C++ environment.
    Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference, Zakopane, Poland, June 7-11, 2004, Proceedings; 01/2004
  • S. Al-Agtash, H.Y. Yamin
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    ABSTRACT: This paper describes a new approach for optimal supply curve bidding (OSCB) using Benders decomposition in competitive electricity markets. The inclusion of physical unit constraints and transmission security constraints will assure a subsequent feasible solution for the problem. We decompose the problem into a base-case OSCB (without unit and network constraints) and subproblems for checking the feasibility of unit and network constraints. For a given base-case OSCB schedule, line flow violations are minimized by adjusting units’ generation and phase shifters. In case transmission violations cannot be removed, additional linear constraints are introduced in the master problem in the form of price signals for rescheduling OSCB. An IEEE 24-bus system is used to demonstrate the effectiveness of the proposed approach.
    Electric Power Systems Research. 01/2004;
  • Nabeel Al-Fayoumi, Salem Al-Agtash
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    ABSTRACT: This paper presents a technical approach for electronic multilateral trade of electricity in competitive power industries. The trade involves strategic sharing of data among agents in an attempt to provide the opportunity to intelligently discover competitive behavior of peer suppliers. A trading logic is implemented as a specialized software module within the agent. The logic mimics intelligence of the human strategic trade. A time-bounded trade protocol has been introduced as a trading basis among rivalry trade agents in the market. The protocol limits the trade rounds in order to bind the trading process to specific deadlines. The protocol is coded as part of the automated trade server. The results of a generic 3-bus test system show that the electronic multilateral trade logic presented in this paper better distributes market sales, lowers prices and consequently provides higher social welfare compared to the standard Cournot economic model that may be used by the human decision-maker for market trading. Based on a set of test cases with different load profiles, it is noted that the electronic multilateral trade drives the market price closer to the marginal cost of generation supply and far away from the estimated Cournot price.
    Advances in Engineering Software 01/2002; · 1.22 Impact Factor
  • Salem Al-Agtash, Nabeel Al-Fayoumi
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    ABSTRACT: Restructuring is happening in the electric power industry. Open electricity auction markets in some kind of power exchange (PX) organization is part of this emerging industry. System operations and controls are managed separately through an independent system operator (ISO). Such an industry changes how generation resources are planned and operated. This paper presents an operation mechanism that better identifies emerging requirements of restructured electricity markets. We provide models and implementation details of resource operation within a PX-ISO environment. The economic allocation of generation and demand resources in the power exchange (PX) market is modeled based on their bids while considering constraints of different sorts. Preferred schedules of the power exchange (PX) market and scheduling (multilateral) coordinators are then considered in the formulation of the operator re-dispatch and management of ancillary controls. The criterion is to provide an optimal dispatch of resources and settings of controls to ensure reliability, security and adequacy. A three-bus system is used as an example. The results illustrate feasible separate functional operations to yield an efficient and reliable competitive power system structure.
    Computers & Electrical Engineering 01/2002; 28(5):335-348. · 0.93 Impact Factor
  • Salem Al-Agtash, Renjeng Su
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    ABSTRACT: This paper presents economic efficiency evaluation of electricity markets operating on the basis of a coordinated multilateral trading concept. The evaluation accounts for the overall costs of power generation, network losses, and system and unit constraints. We assume a non-collusive oligopolistic competition. An iterative Cournot model is used to characterize the competitive behavior of suppliers. A supplier maximizes the profit of each of his generating units while taking rivals' generation as given. Time span is over multiple hours. This leads to a mixed integer non-linear programming problem. We use the augmented Lagrangian approach to solve iteratively for globally optimal schedules. An IEEE 24-bus, 8-supplier, and 17-customer test system is used for illustration. The results show that such a market at times of light demands exhibits little market power, and at times of large demands exhibits a great deal of market power. This contrasts with the PCMI and HHI concentration measures, which give fixed measurement values of market power. The results of two-year (730 round) market simulations show a range of deadweight efficiency loss between 0.9 and 6% compared to that of PoolCo which results in a range between 0.5 and 10% for the same test case.
    International Journal of Electrical Power & Energy Systems. 01/2002;
  • Salem Al-Agtash, Nabeel Al-Fayoumi
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    ABSTRACT: This paper presents a trade server for electricity e-commerce. The server is generic and platform independent software that emulates human intelligence to trade electricity as a merchandise. It is built into each of the software agents that operate on behalf of the individual business entities in electricity markets. The server initiates trading with other agents through its modules following a designated strategy. The communication media among agents is the Internet. The software is component-based and is coded in C++. We use the Western System Coordinating Council (WSCC) system for testing. The results of the automated trade system are comparable to the results of the standard supply function equilibria model that may be used by human decision-makers. The automated trade system, however, requires less human workforce, reduces transaction time and better explores trading opportunities.
    Computers in Industry. 01/2002;
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    S. Al-Agtash
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    ABSTRACT: This paper presents an augmented Lagrangian (AL) approach to scheduling a generation mix of thermal and hydro resources. AL presents a remedy to duality gap encountered with the ordinary Lagrangian for nonconvex problems. It shapes the Lagrangian function as a hyperparaboloid associating penalty in the direction of the coupling constraints. This work accounts further for the transmission constraints. We use a hydrothermal resource model with pumped-storage units. An IEEE 24-bus test system is used for AL performance illustration. Computational models are all coded in C. The results of the test case show that the AL approach can provide better scheduling results as it can detect optimal on/off schedules of units over a planning horizon at a minimal cost with no constraint violation. It requires no iteration with economic dispatch algorithms. The approach proves accurate and practical for systems with generation diversity and limited transmission capacity
    IEEE Transactions on Power Systems 12/2001; · 2.92 Impact Factor
  • Source
    S. Al-Agtash
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents an augmented Lagrangian (AL) approach to scheduling a generation mix of thermal and hydro resources. AL presents a remedy to duality gap encountered with the ordinary Lagrangian for nonconvex problems. It shapes the Lagrangian function as a hyperparaboloid associating penalty in the direction of the coupling constraints. This work accounts further for the transmission constraints. We use a hydrothermal resource model with pumped-storage units. An IEEE 24-bus test system is used for AL performance illustration. Computational models are all coded in C. The results of the test case show that the AL approach can provide better scheduling results as it can detect optimal on/off schedules of units over a planning horizon at a minimal cost with no constraint violation. It requires no iteration with economic dispatch algorithms. The approach proves accurate and practical for systems with generation diversity and limited transmission capacity.
    IEEE Power Engineering Review 09/2001; 21(8):58-59.
  • Nabeel I. Al-Fayoumi, Salem Y. Al-Agtash
    Proceedings of the 14th International Conference on Computer Applications in Industry and Engineering, November 27-29, 2001, Las Vegas, Nevada, USA; 01/2001
  • S. Al-Agtash, N. Al-Fayoumi
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    ABSTRACT: This paper presents a software model of agent-based competitive power systems. The model consists of software objects (agents) that represent individual system components and other administrative entities. Each of these agents has two characteristics: state (physical characteristics, limitations, record values, etc.) and behavior (operation and control, business strategies, performance, local and global interactions, etc.). An agent maintains its state in variables and implements its behavior with methods. We define software objects in terms of classes built by sets of attributes and member functions. The objects interact with each other via message passing. These interactions are mapped into functional procedures reflecting objects' intelligence to optimize performance while ensuring reliable system operation. We give snapshots of the C++ code to illustrate developed concepts
    Power Engineering Society Winter Meeting, 2000. IEEE; 02/2000
  • S. Al-Agtash, Renjeng Su
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    ABSTRACT: This paper presents an augmented Lagrangian approach to hydro-thermal scheduling. It adds to the standard Lagrangian function a quadratic penalty function which associates generation-load balance, spinning reserve and emission constraints. This makes better commitment solutions that may exist in a dual gap very likely reachable by adjusting penalty and Lagrangian multipliers parameters. The advantage of this approach over Lagrangian relaxation and augmented Lagrangian with only the generation-load balance constraint penalized is discussed. An IEEE test system is used for illustration. Our results show that the augmented Lagrangian with all coupling constraints penalized can provide better scheduling results as it can detect in-between-hours shutdown of some units, earlier shutdown, and/or later startup of some other units
    IEEE Transactions on Power Systems 12/1998; · 2.92 Impact Factor

Publication Stats

121 Citations
15.07 Total Impact Points

Institutions

  • 2000–2010
    • Yarmouk University
      • Department of Computer Engineering
      Arbēla, Irbid, Jordan
  • 2006
    • German Jordanian University
      `Ammān, Amman, Jordan
  • 1998
    • University of Colorado at Boulder
      • Department of Electrical, Computer, and Energy Engineering (ECEE)
      Boulder, CO, United States