FACTS Allocation Based on Expected Security Cost by Means of Hybrid PSO
ABSTRACT This paper proposes an approach to optimally allocate FACTS devices based on Expected Security Cost Optimal Power Flow (ESCOPF) under deregulated power system. The aims of the approach are both to minimize device investment cost and to maximize benefit defined as difference between Expected Security Cost (ESC) with and without FACTS installation. The expected cost includes operating cost not only under normal condition but also under contingencies along with their associated probabilities to occur. Furthermore, this cost considers compensation for generation power deviation and load interruption. FACTS devices re-setting is the first attempt to be executed in order to minimize the operating cost. Then, generations re-dispatch and load shedding are the second and the third priority actions to minimize ESC. Interaction among multiple FACTS devices in achieving minimum expected cost under both normal condition and contingencies is also considered in this paper. The overall problem is solved using both Particle Swarm optimization (PSO) for attaining optimal FACTS allocation as main problem and Sequential Quadratic Programming (SQP) for solving optimal power flow as sub optimization problem.
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ABSTRACT: This paper proposes a new formulation for var planning problems, including the allocation of FACTS devices. A new feature of the formulation lies in the treatment of security issues. Different from existing formulations, we directly take account of the expected cost for voltage collapse and corrective controls, in which the control effects by the devices to be installed are evaluated together with the other controls such as load shedding in contingencies to compute an optimal var planning. The inclusion of load shedding into the formulation guarantees the feasibility of the problem. The optimal allocation by the proposed method implies that the investment is optimized, taking into account its effects on security in terms of the cost for power system operation under possible events occurring probabilistically. The problem is formulated as a mixed integer nonlinear programming problem of a large dimension. The Benders decomposition technique is tested where the original problem is decomposed into multiple subproblems. The numerical examinations are carried out using AEP-14 bus system to demonstrate the effectiveness of the proposed method.IEEE Power Engineering Review 09/2002; 18(8-22):68 - 68. DOI:10.1109/MPER.2002.4312509
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ABSTRACT: The authors thanks the discusser for his valuable comments and questions concerning their original paper (Y. Lu et al., see ibid., vol.17, p.324-9, 2002). His response to these discussions are presented as closure to the process.Power Systems, IEEE Transactions on 06/2003; 18(2):955- 956. DOI:10.1109/TPWRS.2002.807058 · 3.53 Impact Factor
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ABSTRACT: The operation of a deregulated power market becomes more complex as the generation scheduling is dependent on suppliers' and consumers' bids. With large number of transactions in the power market changing in time, it is more likely for some transmission lines to face congestion. Series compensation, such as TCSC, with its ability to directly control the power flow can be very helpful to improve the operation of transmission networks. The effects of TCSC on the operation of a spot price power market are studied in this paper using the modified IEEE 14-bus system. Optimal Power Flow incorporating TCSC is used to implement the spot price market. Linear bids are used to model suppliers' and consumers' bids. Issues of location and cost of TCSC are discussed. The effects of levels of TCSC compensation on wide range of system quantities are studied. The effects on the total social benefit, the spot prices, transmission congestion, total generation and consumption, benefit to individual supplier and consumer etc. are discussed. It is demonstrated that though use of TCSC makes the system more efficient and augments competition in the market, it is not easy to establish general relationships between the levels of compensation and various market quantities. Simulation studies like these can be used to assess the effects of TCSC in specific systems.International Journal of Electrical Power & Energy Systems 06/2005; 27(5-6-27):428-436. DOI:10.1016/j.ijepes.2005.03.001 · 3.43 Impact Factor