A European Power Exchange day-ahead market with both simple and combinatorial products is modeled in this paper and cleared using Benders Decomposition. Except from simple hourly supply offers and demand bids, the pro...
详细信息
ISBN:
(纸本)9781479940950
A European Power Exchange day-ahead market with both simple and combinatorial products is modeled in this paper and cleared using Benders Decomposition. Except from simple hourly supply offers and demand bids, the products comprise supply and demand profile block offers/bids, and supply and demand linked profile block offers/bids. The problem constitutes a mixed integer linear programming model having a decomposable structure, which is decomposed in terms of binary and continuous variables, and solved using the Benders Decomposition approach. The master problem includes the binary variables, the decisions of which are transferred to the sub-problem, which incorporates the problem continuous variables. The iterations of Benders method constitute inner iterations; outer iterations are also performed in order to handle the paradoxically accepted and rejected blocks. The overall algorithm converges to the solution of the original MILP problem. The proposed approach is evaluated using the IEEE RTS-96 three-area test system.
In this paper, max-min style transmit beamformer design for single group multicast (broadcast) scenario is considered. The phase and amplitude values of beamformer vector coefficients are selected from finite discrete...
详细信息
In this paper, max-min style transmit beamformer design for single group multicast (broadcast) scenario is considered. The phase and amplitude values of beamformer vector coefficients are selected from finite discrete sets. With the help of integer variables, original optimization problem is converted to a linear form appropriate for mixed integer linear programming. The solution is always feasible as long as the total power is above a certain value. Branch and cut strategy guarantees the optimum solution. Proposed approach is very effective and with moderate number of bits, a performance closed to optimum continuous beamformer can be obtained.
Modern FPGA allows the design of very complex System-on-Chips (SoC). To fulfil modern application requirements, in terms of performance/energy consumption ratio, Heterogeneous Multiprocessor System-on-Chip (Ht- MPSoC)...
详细信息
Modern FPGA allows the design of very complex System-on-Chips (SoC). To fulfil modern application requirements, in terms of performance/energy consumption ratio, Heterogeneous Multiprocessor System-on-Chip (Ht- MPSoC) architectures represent a promising solution. In such systems, the processor instruction set is enhanced by application-specific custom instructions implemented on reconfigurable fabrics, namely FPGA. To increase area utilization and guarantee application constraint respect, we propose a new Ht-MPSoC architecture where hardware accelerators (HW accelerators) are shared among different processors in an intelligent manner. In this paper, we extend existing Ht-MPSoC architectures by considering asymmetric (AHt-MPSoC). In these architectures, cores have different resources that may share in different manners. Depending on the running applications and their needs in processing, private and shared HW accelerators are attached to the different cores. On a 8-core AHt-MPSoC we obtained a speed of 2.6 with a reduced number of HW accelerators for our benchmarks.
We present a three-level equilibrium model for the expansion of an electric network. The lower-levelmodel represents the equilibrium of a pool-based market; the intermediate level represents the Nash equilibrium in ge...
详细信息
We present a three-level equilibrium model for the expansion of an electric network. The lower-levelmodel represents the equilibrium of a pool-based market; the intermediate level represents the Nash equilibrium in generation capacity expansion, taking into account the outcomes on the spot market; and the upper-level model represents the anticipation of transmission expansion planning to the investment in generation capacity and the pool-based market equilibrium. The demand has been considered as exogenous and locational marginal prices are obtained as endogenous variables of the model. The three-level model is formulated as a mixed integer linear programming (MILP) problem. The model is applied to a realistic power system in Chile to illustrate the methodology and proper conclusions are reached.
This research proposes an automated method for planning a team of mobile robots such that a Boolean-based mission is accomplished. The specification consists of logical requirements over some regions of interest for t...
详细信息
ISBN:
(纸本)9781467360890
This research proposes an automated method for planning a team of mobile robots such that a Boolean-based mission is accomplished. The specification consists of logical requirements over some regions of interest for the agents' trajectories and for their final states. A Petri net (PN) with outputs models the movement capabilities of the team and the active regions of interest. The imposed specification is translated to a set of linear restrictions for some binary variables, the robot movement capabilities are formulated as linear constraints on PN markings, and the evaluations of the binary variables are linked with PN markings via linear inequalities. This allows us to solve a mixed integer linear programming problem whose solution yields robotic trajectories satisfying the task.
We develop a light utility-oriented placement of actuator nodes (LUOPAN) for wireless sensor/actuator networks (WSAN) to spread serving duties among actuator nodes (ANs). Through appropriate placement of ANs and alloc...
详细信息
ISBN:
(纸本)9781479934331
We develop a light utility-oriented placement of actuator nodes (LUOPAN) for wireless sensor/actuator networks (WSAN) to spread serving duties among actuator nodes (ANs). Through appropriate placement of ANs and allocation of serving duties, system deployment cost can be reduced, and the system longevity can be improved. By considering utility consumption and geographic distribution of required services, LUOPAN out-performs existing strategies (e.g. area coverage approach and greedy approach) in terms of operation efficiency and setup cost. A mixed integer linear programming is used to obtain an optimal solution in a discretized search space, with considerations of service fading and multi-scenario placements.
The concept of demand response (DR) market, which recently introduced, is a comprehensive approach to schedule DR. DR market is a separate market in which DR is treated as a virtual resource to be exchanged between DR...
详细信息
The concept of demand response (DR) market, which recently introduced, is a comprehensive approach to schedule DR. DR market is a separate market in which DR is treated as a virtual resource to be exchanged between DR buyers and sellers. The major advantage of the DR market in comparison to other DR proposals is that it allocates benefits and payments across all participants, fairly. However, there are still obstacles to its integration into the existing power markets. This paper tries to address technical and economical issues towards integrating DR market into energy/reserve markets. For this purpose, a bilevel approach is proposed for clearing joint energy/reserve and DR markets whose upper-level problem determines system requirements for reserve using N-1 contingency criteria, and whose lower-level problem clears the DR market. The resulting nonlinear bilevel programming problem is translated into an equivalent single-level mixed-integerlinearprogramming problem by replacing the lower-level problem by its Karush- Kuhn-Tucker optimality conditions and converting a number of nonlinearities to linear equivalents using some well-known techniques. Finally, a simple case study is used to verify the efficiency of the proposed approach.
In this paper, transmit beamformer design for single group multicast scenario is considered. The problem is solved in discrete form where the beamformer phase and amplitude values are selected from finite discrete set...
详细信息
In this paper, transmit beamformer design for single group multicast scenario is considered. The problem is solved in discrete form where the beamformer phase and amplitude values are selected from finite discrete sets. Original optimization problem is converted to a linear form by introducing new variables. The solution of the equivalent optimization problem is always feasible as long as the total power is above a certain value. The problem in its linear form is guaranteed to return optimum solution. Proposed approach is very effective and the number of bits can be increased to obtain close to optimum continuous phase and amplitude beamformers.
A new mixed-integerlinearprogramming (MILP) model is proposed to represent the plug-in electric vehicles (PEVs) charging coordination problem in electrical distribution systems. The proposed model defines the optima...
详细信息
ISBN:
(纸本)9781479964161
A new mixed-integerlinearprogramming (MILP) model is proposed to represent the plug-in electric vehicles (PEVs) charging coordination problem in electrical distribution systems. The proposed model defines the optimal charging schedule for each division of the considered period of time that minimizes the total energy costs. Moreover, priority charging criteria is taken into account. The steady-state operation of the electrical distribution system, as well as the PEV batteries charging is mathematically represented;furthermore, constraints related to limits of voltage, current and power generation are included. The proposed mathematical model was applied in an electrical distribution system used in the specialized literature and the results show that the model can be used in the solution of the PEVs charging problem.
Unit commitment (UC) is a problem to economically determine the commitment status and generation level for each thermal unit during each time interval of the scheduled periods. The purpose of UC is to minimize the tot...
详细信息
ISBN:
(纸本)9781424419050
Unit commitment (UC) is a problem to economically determine the commitment status and generation level for each thermal unit during each time interval of the scheduled periods. The purpose of UC is to minimize the total generation cost while satisfying system demand, reserve requirements, and other unit constraints. The combined-cycled units have been increasingly installed throughout the world because of their high efficiency and fast response. However, the combined-cycle units usually have multiple operating configurations. The multi-configuration characteristic causes that the UC problem is more complex and difficult to be solved. In this paper, the authors present a simplified combined-cycled unit model to efficiently solve the related mixed integer linear programming-based UC problem. By simulating two test systems, results show that the proposed model is effective to reduce the complexity of problem with losing little solution accuracy.
暂无评论