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  • 1.
    Sarfati, Mahir
    et al.
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Galland, Olga
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Hesamzadeh, Mohammad R.
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Transmission planning with probabilistic modeling of multiple contingencies2013In: European Energy Market (EEM), 2013 10th International Conference on the, IEEE , 2013, p. 6607280-Conference paper (Refereed)
    Abstract [en]

    Transmission planning is a way of improving reliability and security of the power system. The security can be defined as the ability of the power system to withstand a credible contingency such as loss of a large generating unit or a heavily loaded transmission line. This paper proposes a new probabilistic transmission planning approach which takes into account both security and economic issues. The power system security is modelled using the following three states of power system: (a) steady state equilibrium, (b) transition to new steady state equilibrium and (c) new steady state equilibrium. These three steps present the state of power system before, during, and after a contingency occurred. The transmission expansion plans approved by proposed formulation is applied to the modified IEEE 24-Node reliability test system. Then the expanded system is subjected to several contingencies. The suggested transmission planning schedule is analyzed by comparing the production cost and the generation dispatch schedules. The results show that the proposed probabilistic transmission planning approach can effectively model the multiple contingencies in the transmission planning process.

  • 2.
    Sarfati, Mahir
    et al.
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Hesamzadeh, Mohammad
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Benedicto Martinez, Pedro
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    A Probabilistic Spot Market Design for Reducing Real-Time Balancing Costs2014In: 2014 IEEE PES General Meeting - Conference & Exposition, IEEE Computer Society, 2014, Vol. 2014-October, article id 6939556Conference paper (Refereed)
    Abstract [en]

    Balancing services are used for maintaining the continuous balance between generation and load in the system and keep the frequency stable on its nominal value. The demand for balancing services is increasing with the growing penetration of wind generation into the electricity industry. It is clearly seen that a major challenge of the coming environment for the electricity market is reducing the procurement cost of balancing services. This paper presents a probabilistic spot market model based on integration of day-ahead spot market and the real-time balancing market which aims to trade off preventive actions in the day-ahead spot market with corrective actions in the real-time balancing market. The proposed model is formulated as a bi-level optimization problem. To solve it, the inner optimization problem (reflecting the real-time balancing market) was substituted by its equivalent Karush-Kuhn-Tucker optimality conditions. Conventional spot market model is used as a benchmark in this study. The proposed and conventional spot market designs are applied to modified Nordic 32-bus example system. Comparison of results point out the benefits of the proposed approach over the traditional model.

  • 3.
    Sarfati, Mahir
    et al.
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Hesamzadeh, Mohammad R.
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Pricing schemes for dealing with limited transmission capacity - A comparative study2013In: 2013 IEEE Power and Energy Society General Meeting (PES), IEEE , 2013, p. 6672851-Conference paper (Refereed)
    Abstract [en]

    Transmission congestion is one of the main reasons of social welfare losses. Electricity demand cannot be supplied by low-cost generators because of congestions. After deregulation of the power industry, the number of market participants has increased and each market participant has open access to the transmission network. This new policy leads to a dramatic increase in transmission congestion. Thats why the transmission system operator needs a proper pricing scheme to alleviate the congestions in the transmission system. This paper reviews four pricing schemes; nodal pricing, zonal pricing with market splitting, zonal pricing with countertrading and regional pricing. All pricing schemes are mathematically formulated and IEEE twenty-four node reliability test system is used to illustrate the operation of the pricing schemes. A comparison of numerical results is done from both supplier's and consumer's point of view. Finally, the general advantages and drawbacks of each pricing approach is discussed.

  • 4.
    Sarfati, Mahir
    et al.
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Hesamzadeh, Mohammad R.
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    The diversification benefit of additional transmission capacity2013In: 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013, IEEE , 2013, p. 6652136-Conference paper (Refereed)
    Abstract [en]

    Transmission investment yields two major benefits: (a) it allows cheaper remote generation to substitute for more expensive local generation, (the 'efficiency (transportation) benefit') and (b) by increasing the diversification of uncorrelated generation sources, allows a reduction in the volume of balancing services required (the 'diversification benefit'). Conventional transmission planning processes tend to focus exclusively on the efficiency benefit. It is well known that increasing wind penetration increases the need for balancing services. The purpose of this study is to develop a mathematical model for quantifying the diversification benefit for transmission investment. To do this the day-ahead spot market and real-time balancing market are mathematically formulated as two-step economic dispatch. This two-step economic dispatch is formulated as one-shot optimization problem. The new optimization problem calculates the results of the day-ahead spot market dispatch and real-time balancing market dispatch in one optimization problem. The new formulation is a linear programming problem which calculates the dispatch cost and the economic deviation from the dispatch cost. This two-step economic dispatch is used for quantifying the diversification benefit of the additional transmission capacity. A decomposition approach is proposed to decompose the total benefit of additional transmission capacity into the efficiency benefit and the diversification benefit. To explain the diversification benefit and its developed two-step economic dispatch, the thirty-node example system is studied. The numerical results show that the proposed methodology in the paper can model and quantify the diversification benefit of additional transmission capacity.

  • 5.
    Sarfati, Mahir
    et al.
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Hesamzadeh, Mohammad Reza
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Canon, Alexandre
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Five Indicators for Assessing Bidding Area Configurations in Zonally-Priced Power Markets2015In: 2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, IEEE , 2015Conference paper (Refereed)
    Abstract [en]

    The boost in intermittent renewable generation increases the constraints on the transmission lines, including the interconnections between neighboring countries. This rises the concerns on the security of supply in the power systems. In addition it damages the efficiency of the electricity market. The modification of the bidding area configuration is often considered as a solution to manage this problematic situation. This paper presents five indicators to evaluate the impact of different bidding zone configurations in a zonally-priced electricity market. A mixed complementarity problem is formulated to model zonal pricing. The Nordic 32-bus example system is modified and studied as a case study in order to explain the application of the presented indicators better. The intermittent nature of the wind power are captured by scenarios of wind power availability. Numerical results shows the efficiency of the indicators to study the impacts of different bidding zone configurations.

  • 6.
    Sarfati, Mahir
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.
    Hesamzadeh, Mohammad Reza
    KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.
    Holmberg, Pär
    Res Inst Ind Econ IPN, Stockholm, Sweden.;Univ Cambridge, Energy Policy Res Grp, Cambridge, England.;Stanford Univ, PESD, Stanford, CA 94305 USA..
    Production efficiency of nodal and zonal pricing in imperfectly competitive electricity markets2019In: Energy Strategy Reviews, ISSN 2211-467X, E-ISSN 2211-4688, Vol. 24, p. 193-206Article in journal (Refereed)
    Abstract [en]

    Electricity markets employ different congestion management methods to handle the limited transmission capacity of the power system. This paper compares production efficiency and other aspects of nodal and zonal pricing. We consider two types of zonal pricing: zonal pricing with Available Transmission Capacity (ATC) and zonal pricing with Flow-Based Market Coupling (FBMC). We develop a mathematical model to study the imperfect competition under zonal pricing with FBMC. Zonal pricing with FBMC is employed in two stages, a dayahead market stage and a re-dispatch stage. We show that the optimality conditions and market clearing conditions can be reformulated as a mixed integer linear program (MILP), which is straightforward to implement. Zonal pricing with ATC and nodal pricing is used as our benchmarks. The imperfect competition under zonal pricing with ATC and nodal pricing are also formulated as MILP models. All MILP models are demonstrated on 6-node and the modified IEEE 24-node systems. Our numerical results show that the zonal pricing with ATC results in large production inefficiencies due to the inc-dec game. Improving the representation of the transmission network as in the zonal pricing with FBMC mitigates the inc-dec game.

1 - 6 of 6
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