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检索条件"主题词=Mixed integer linear programming"

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Optimization of On-site Renewable Energy Generation for Industrial Sites

Optimization of On-site Renewable Energy Generation for Indu...

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IEEE/PES Power Systems Conference and Exposition

作者： Suriya Ruangpattana Diego Klabjan Jorge Arinez Stephan Biller Department of Industrial Engineering and Management Sciences Northwestern University Manufacturing Systems Research Laboratory General Motors R&D Center

ISBN: (纸本)9781612847894

We consider the energy sourcing decision problem faced by industrial power consumers who must determine their long-term electricity procurement plan and need to evaluate various options to meet load requirements for their facilities including those which may involve on-site renewable generation. Other than sourcing from on-site renewable generation such as solar photovoltaic or wind, power can be purchased from spot markets or through a power purchase agreement, i.e. energy supply contract. We develop a mixed-integer linear model to make decisions that include investments in renewable generation, power purchases from spot markets, and amount sourced from supply contracts. Taking into account renewable energy certificates, the model's objective is to maximize revenue from trading renewable certificates minus the expected total costs of investing and operating on-site renewable generation, and purchasing from electricity markets. Real load data from manufacturing plants are used to illustrate a numerical case study for our model.

关键词： mixed integer linear programming Renewable energy Sustainability On-site generation Industrial consumers

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European Market Coupling Algorithm incorporating clearing conditions of block and complex orders

European Market Coupling Algorithm incorporating clearing co...

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IEEE Eindhoven PowerTech Conference

作者： Grigoris A. Dourbois Pandelis N. Biskas Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Greece

In this paper an algorithm for the solution of the European electricity market coupling is presented, considering all block and complex orders available in the European Power Exchanges. The model takes into account the clearing conditions of profile and regular block orders, linked block orders, exclusive group of block orders and flexible hourly orders, as well as the clearing conditions of Minimum Income Condition and Load Gradient orders, possibly under a scheduled stop condition. The model considers also hourly flow ramping constraints on single interconnections or group of interconnections, net position ramping constraints, interconnection losses and tariffs. The flow-based approach is implemented, using the zonal PTDF matrix. The algorithm eliminates possible paradoxically accepted block and MIC orders within an iterative process. The proposed algorithm is evaluated in a pan-European day-ahead electricity marketplace.

关键词： European electricity market Block and complex orders Iterative algorithm mixed integer linear programming

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A Market Splitting Approach for the European Electricity Market Integration

A Market Splitting Approach for the European Electricity Mar...

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IEEE Grenoble PowerTech Conference

作者： Dimitris I. Chatzigiannis Pandelis N. Biskas Anastasios G. Bakirtzis Power Systems Laboratory Dept. of Electrical Engineering Aristotle University of Thessaloniki Greece

ISBN: (纸本)9781467356688

The “Target Model” for the European electricity markets integration has received the attention of regulators, economists and market designers in the last years, namely the substitution of local electricity markets with a harmonized multi-area market, with same market segments in all European countries. In view of this market integration, a Europe-wide market-splitting model is presented in this paper, in which each national market retains its regulatory framework/design, namely remains a power pool or a Power Exchange. The developed model is tested in a Europe-wide test case, comprising three power pools and twenty two existing and prospective Power Exchanges. The model solution and the computational efficiency of the proposed implementation are presented here.

关键词： Market Coupling Market Splitting mixed integer linear programming Power Exchange Power Pool

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Interruption Reduction in Secondary Substations using Battery Energy Storage Systems

Interruption Reduction in Secondary Substations using Batter...

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IEEE PES Innovative Smart Grid Technologies Conference Europe

作者： Arun Narayanan Tero Kaipia Jarmo Partanen Dept. of Electrical Engineering Lappeenranta Univ. of Technology Lappeenranta Finland

Reliable electric power supply is extremely important in modern societies. Distribution system operators (DSOs) are obligated to ensure high supply security, especially in deregulated electricity markets. DSO face penalties or pay compensatory costs when they are unable to supply electricity reliably to customers. DSOs can increase their supply reliability by either employing expensive high-reliability technology or backup power supply such as battery energy storage systems (BESSs) or generators. We have presented a novel mixed integer linear programming model to determine the economic feasibility of installing BESSs at a secondary substation in a medium voltage network. We have also determined the minimum capacity and optimal schedule of the installed BESS. Moreover, we have examined the cost-effectiveness of using BESSs if they are also used for peak shaving instead of remaining idle when there are no outages. We validated our simple but effective methodology by applying it to a substation network in Finland. All the interruptions were reduced with a BESS capacity of 112 kWh, and the savings were significant for BESS costs less than 300 {EUR}/kWh. Moreover, peak shaving increased the cost savings. However, the current costs of lithium-ion-based BESSs are nearly thrice as high, and they must decrease further before BESSs can be cost-effectively used for interruption management and peak shaving.

关键词： Battery Energy Storage Systems Distribution System Operators Interruptions mixed integer linear programming Outages

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Optimal Generation Scheduling of a Microgrid

Optimal Generation Scheduling of a Microgrid

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IEEE PES Innovative Smart Grid Technologies Europe

作者： Xiong Wu Xiuli Wang Zhaohong Bie Electrical Engineering Department Xi'an Jiaotong University

ISBN: (纸本)9781467325950

This paper presents an efficient method for the optimal generation scheduling of a microgrid comprising various distributed generators (DG), storage device. To give the optimal operation strategy, an optimization model is proposed respecting various distributed energy resources (DER) constraints and system constraints. The objective function is aimed at minimizing the system cost associated with the DCs energy production and start-up and shut-down decisions, along with possible profits. The problem is similar to a unit commitment problem in power system, however, there are some differences due to the special characteristics of DERs in the microgrid, each DER is modeled based on its characteristics and constraints. Finally, a mixed integer linear programming (MILP) method is applied to solve the problem. The effectiveness of the proposed approach is validated by case studies, the test results also indicate the MILP method is a promising approach to solve this kind of problem with high accuracy and low time consumption.

关键词： Generation scheduling Microgrid mixed integer linear programming

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Comparison Between Multistage Stochastic Optimization programming and Monte Carlo Simulations for the Operation of Local Energy Systems

Comparison Between Multistage Stochastic Optimization Progra...

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IEEE International Conference on Environment and Electrical Engineering

作者： C. Orozco A. Borghetti S. Lilla G. Pulazza F. Tossani Department of Electrical Electronic and Information Engineering University of Bologna Italy

The paper deals with the day-ahead optimization of the operation of a local energy system consisting of photovoltaic units, energy storage systems and loads aimed to minimize the electricity procurement cost. The local energy system may refer either to a small industrial site or to a residential neighborhood. Two mixed integer linear programming models are adopted, each for a different representation of the battery: a simple energy balance constraint and the Kinetic Battery Model. The paper describes the generation of the scenarios, the construction of the scenario tree and the intraday decision-making procedure based on the solution of the multistage stochastic programming. Moreover, the daily energy procurement costs calculated by using the stochastic programming approach are compared with those calculated by using the Monte Carlo method. The comparison is repeated for two different sizes of the battery and for two load profiles.

关键词： Energy scheduling Local energy system mixed integer linear programming Stochastic programming Scenario reduction Monte Carlo method Kinetic Battery Model

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Fuel cost reduction effects by introducing storage batteries in a power system

Fuel cost reduction effects by introducing storage batteries...

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IEEE Innovative Smart Grid Technologies - Asia

作者： Hailin Deng Takashi Ikegami Department of Bio-Functions and Systems Science Tokyo University of Agriculture and Technology Tokyo Japan

ISBN: (纸本)9781538642924

Renewable energy generation, such as photovoltaic and wind power, has been growing rapidly in recent years. However, as the penetration rate of renewable energy generation grows, the uncertainty and instability of power system increases. Therefore, it is necessary to find a way to contribute toward the massive introduction of renewable energy power generation. In the present study, the authors develop an interconnection-based unit commitment model by using mixed integer linear programming considering the function of batteries. The relationship among battery energy capacity, battery output power capacity, curtailment of renewable energy generation, and fuel cost of thermal units is analyzed using this model. As a result, it is found that increasing both output power capacity and battery capacity can reduce fuel cost and encourage the introduction of renewable energy resources. Furthermore, it was found that the rated output power capacity of the battery is more important than its energy capacity.

关键词： Battery Interconnection mixed integer linear programming Renewable Energy Unit Commitment

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Joint Optimal Relay Selection and Power Allocation in Multicast Cooperative Networks

Joint Optimal Relay Selection and Power Allocation in Multic...

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IEEE International Conference on Communications

作者： Mohammad Faisal Uddin Chadi Assi Ali Ghrayeb Concordia University

ISBN: (纸本)9781457720529

We investigate the joint problem of relay selection and optimal sharing of relay power in wireless cellular networks with multicast traffic. We use two different performance metrics to maximize the network performance. We first present a mixed Boolean-convex optimization model to maximize the overall network capacity and solve this combinatorial problem optimally using branch and bound technique. We then show that obtaining the optimal solution is computationally not feasible for large network sizes and, unlike the case of unicast traffic, a water filling method does not yield near optimal solutions in multicast scenarios. We thus adopt an algorithm based on sequential fixing which substantially reduces the computation time and achieves near optimal solutions. In addition, we present a mixed integer linear programming model to maximize the capacity of the minimum capacity link and show that the model is very efficient to reach the optimal solutions.

关键词： optimal solution mixed integer linear programming power splitting Multicast network capacity relay computational time branch-and-bound techniques Cellular networks Maximize Performance metrics

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Market clearing model for microgrids with probabilistic reserve

Market clearing model for microgrids with probabilistic rese...

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IEEE Eindhoven PowerTech Conference

作者： Luis E. Luna Horacio Torres Andres Pavas Department of Electrical and Electronic Engineering National University of Colombia Bogotá Colombia

This paper proposes an energy-reserve market clearing model for microgrids which considers a probability reserve criteria. The probabilistic reserve criteria include pre-selected scenarios associated to the unreliability of generators and uncertainties caused by loads and renewable units. Unlike traditional deterministic reserve-constrained market clearing models, this paper determines the optimal amount of reserve as the point in which the sum of its operating costs and the expected cost of load shed reach a minimum. The proposed model is formulated as a stochastic programming problem oriented to co-optimize two electricity markets. The first market is the hour-ahead which evaluate the unit commitment and the energy-reserve scheduling before the realization of scenarios in the microgrid. The second is the balancing market that investigates the security assurance in the pre-selected scenarios of the microgrid. An energy management procedure was developed in order to implement the stochastic programming problem on the real microgrid ATENEA. From this, it was concluded that the reserve capacity of the microgrid throughout the scheduling horizon mainly varies according to the power output of renewable units.

关键词： Market clearing Microgrids mixed integer linear programming Probabilistic security Reserve Stochastic programming

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Path- and data transmission planning for cooperating UAVs in delay tolerant network

Path- and data transmission planning for cooperating UAVs in...

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Institute of Electrical and Electronics Engineers Globecom Workshops

作者： Esten Ingar Grotli Tor Arne Johansen Department of Engineering Cybernetics O.S. Bragstads plass 2D

ISBN: (纸本)9781467349420

The topic of this paper is coarse offline path planning for cooperating Unmanned Aerial Vehicles (UAVs), and is motivated by applications such as surveillance of power lines and railways, inspection of gas pipes, and topological surveying to support the planning of new road routes. Such applications typically require a vast amount of data to be transmitted to a control center for analysis. We define a mixed integer linear programming (MBLP) optimization problem in order to solve a surveillance mission using multiple UAVs, and to effectively transmit the data back to the base station we allow for ferrying and relaying, in addition to direct transmission. The paths obtained by solving the optimization problem are analyzed using a realistic radio propagation path loss simulator. If the radio propagation path loss exceeds the maximum design criterion the optimization problem is solved again with stricter communication constraints, and the procedure is continued in an iterative manner until the criterion is met.

关键词： Unmanned Aerial Vehicle Control centres gas pipeline cooperating Power cables radiowave propagation path loss relaying disruption-tolerant network BASE STATION data transmission mixed integer linear programming

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