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Dynamic Ramping Model Including Intraperiod Ramp-Rate Changes in Unit Commitment

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 2017年第1期8卷 43-50页

作者： Correa-Posada, Carlos M. Morales-Espana, German Duenas, Pablo Sanchez-Martin, Pedro XM Medellin 55422 Colombia Delft Univ Technol Dept Software & Comp Technol NL-2628 CD Delft Netherlands MIT 77 Massachusetts Ave Cambridge MA 02139 USA Comillas Pontifical Univ ICAI Sch Engn Technol Res Inst Madrid 28015 Spain

The growing increase of renewable generation worldwide is posing new challenges for a secure, reliable, and economic operation of power systems. In order to face the uncertain and intermittent production of renewable sources, operating reserves must be allocated efficiently and accurately. Nowadays, these reserves are mainly assigned to thermal units, especially gas-fired generators, due to their operation flexibility and fast response. However, the ramping capabilities of these units define the grade of flexibility offered to the system operation. In practical applications, ramping limits are dynamic, i.e., they are a function of the unit's generating output. Omitting this feature leads to suboptimal or even infeasible reserve allocations, thus increasing not only operating reserve requirements but also transactions in real-time balancing markets needed to back up deviations of renewable generation. This paper contributes with a mixed-integer linear programming model for units' dynamic ramping allowing intraperiod changes in the unit commitment problem. As a result, operating reserves are better allocated and the units' flexibility is managed more efficiently than traditional ramping models found in the literature. Different case studies illustrate the functioning and benefits of the proposed formulation.

关键词： Dynamic ramping mixed-integer linear programming reserves unit commitment thermal units

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Optimal dynamic logistic planning of the supply chain of a gas condensate stabilization plant

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THEORETICAL FOUNDATIONS OF CHEMICAL ENGINEERING 2017年第4期51卷 392-403页

作者： Meshalkin, V. P. Rakitina, O. V. Russian Acad Sci Kurnakov Inst Gen & Inorgan Chem Leninskii Pr 31 Moscow 119991 Russia Mendeleev Russian Univ Chem Technol Miusskaya Pl 9 Moscow 125047 Russia

The management of the economy and the mathematical formulation of the problem of optimal dynamic (multiperiod) logistic planning of the initial and modified supply chain of a gas condensate stabilization plant has been suggested in the form of a multidimensional mixed-integer linear programming problem. An interactive procedure for solving this problem has been developed using the Oracle Strategic Network Optimization software suite. Optimal logistic planning parameters have been calculated for the new modified supply chain with the commissioning of a new plant for processing a wide fraction of light hydrocarbons.

关键词： gas condensate logistic planning mathematical problem formulation multiperiod (dynamic) planning optimization processing of hydrocarbons natural gas mixed-integer linear programming supply chain

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A multi-lateral trading model for coupled gas-heat-power energy networks

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APPLIED ENERGY 2017年 200卷 180-191页

作者： Chen, Yue Wei, Wei Liu, Feng Mei, Shengwei Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing 100084 Peoples R China

The proliferation of cogeneration technology and the need for more resilient energy utilization inspire the emerging trend of integration of multi-resource energy systems, in which natural gas, heat, and electricity are produced, delivered, converted, and distributed more efficiently and flexibly. The increasing interactions and interdependencies across heterogenous physical networks impose remarkable challenges on the operation and market organization. This paper envisions the market trading scheme in the network-coupled natural gas system, district heating system, and power system. Based on the physical energy flow models of each system and their interdependency, a multi-lateral trading gas-heat-power (MLT-GHP) model is suggested, and a mixed-integer linear programming based two-phase algorithm is developed to find the market equilibrium. Case studies on two testing systems demonstrate the effectiveness of the proposed model and method, showing that the multi-lateral trading essentially results in market competition that orientates reasonable energy prices. Some prospects for future researches are also summarized. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Integrated energy networks Market equilibrium mixed-integer linear programming Multi-resource energy market

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Partitioning of Intelligent Buildings for Distributed Contaminant Detection and Isolation

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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2017年第2期1卷 72-86页

作者： Kyriacou, Alexis Timotheou, Stelios Michaelides, Michalis P. Panayiotou, Christos Polycarpou, Marios Univ Cyprus KIOS Res Ctr Intelligent Syst & Networks Dept Elect & Comp Engn CY-1678 Nicosia Cyprus Cyprus Univ Technol Dept Elect Engn Comp Engn & Informat CY-3036 Limassol Cyprus

Intelligent buildings are responsible for ensuring indoor air quality for their occupants under normal operation as well as under possibly harmful contaminant events. An emerging environmental application involves the monitoring of intelligent buildings against harmful events by incorporating various sensing technologies and using sophisticated algorithms to detect and isolate such events. In this context, both centralized and distributed approaches have been proposed, with the latter having significant benefits in terms of complexity, scalability, reliability, and performance. This paper considers the automatic partitioning of the building into subsystems, which enables the distributed simulation, modeling, analysis, and management of the intelligent building while ensuring the effective detection and isolation of contaminants in the building interior. Specifically, we develop both a high-quality heuristic algorithm and an optimal mixed integer linear programming (MILP) formulation for the building partitioning problem. The MILP formulation is based on graph partitioning techniques, while the heuristic is based on matrix clustering techniques. Both approaches partition the building into subsystems while ensuring 1) maximum decoupling between the various subsystems, 2) strong connectivity between the zones of each subsystem, and 3) control of the size of the subsystems with respect to the number of allocated zones. A combination of the two approaches is also proposed for reconfiguring an initial partitioning composition in real time in order to accommodate partitioning needs that arise from dynamic system changes.

关键词： Building partitioning contaminant detection and isolation distributed monitoring algorithms mixed-integer linear programming matrix reordering techniques online optimization

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Real-time airport surface movement planning: Minimizing aircraft emissions

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TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES 2017年 79卷 224-241页

作者： Evertse, C. Visser, H. G. Delft Univ Technol Fac Aerosp Engn Delft Netherlands

This paper presents a study towards the development of a real-time taxi movement planning system that seeks to optimize the timed taxiing routes of all aircraft on an airport surface, by minimizing the emissions that result from taxiing aircraft operations. To resolve this online planning problem, one of the most commonly employed operations research methods for large-scale problems has been successfully used, viz., mixed-integer linear programming (MILP). The MILP formulation implemented herein permits the planning system to update the total taxi planning every 15 s, allowing to respond to unforeseen disturbances in the traffic flow. Extensive numerical experiments involving a realistic (hub) airport environment bear out that an estimated environmental benefit of 1-3 percent per emission product can be obtained. This research effort clearly demonstrates that a surface movement planning system capable of minimizing the emissions in conjunction with the total taxiing time can be beneficial for airports that face dense surface traffic and stringent environmental requirements. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Airport surface movement planning Emissions mixed-integer linear programming

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Determination of the optimal DR capacity for a commercial building with chiller system and energy storage system

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IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 2017年第4期12卷 536-545页

作者： Son, Joonho Hara, Ryoichi Kita, Hiroyuki Hokkaido Univ Grad Sch Informat Sci & Technol Power & Energy Syst Lab Kita Ku Kita 14Nishi 9 Sapporo Hokkaido 0600814 Japan

Demand response (DR), which is used to shave the peak demand for securing supply reliability in a power system, is one of the promising constitutions for the end users. In a commercial building (COB), the most popular adjustable DR resource (DRR) is the chiller system. More specifically, its power consumption can be reduced by thermal mass control (precooling) in a specified DR duration. On the other hand, installation of energy storage systems (ESSs) is going on at an accelerated pace because of its high economic efficiency. ESSs have been used for peak-shift operation under the time-of-use (TOU) tariff. However, ESS can be also used as an attractive DRR because it can reduce the net load by discharging the ESS for a specified DR duration. Based on this background, this paper presents a method for determining the optimal DR capacity in a COB with a chiller system and ESS. In the proposed scheme, the optimal DR capacity (kW) can be determined so that the total expected cost of a COB becomes minimum by using the chiller system and ESS while avoiding the DR penalty threat adopted in the Korean DR market. Uncertainty in the ambient temperature, the amount of reduction, and DR durations are considered as the scenarios. The estimation and economic evaluation of the proposed scheme is ascertained through case studies. (c) 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

关键词： demand response energy storage system chiller system commercial building mixed-integer linear programming

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RETRACTED: Optimal transmission switching in the stochastic linearised SCUC for uncertainty management of the wind power generation and equipment failures (Retracted Article)

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IET GENERATION TRANSMISSION & DISTRIBUTION 2017年第10期11卷 2664-2676页

作者： Nikoobakht, Ahmad Aghaei, Jamshid Mardaneh, Mohammad Higher Educ Ctr Eghlid Eghlid Iran Shiraz Univ Technol Dept Elect & Elect Engn Shiraz Iran

This study recommends a stochastic optimisation model for the security-constrained unit commitment (SCUC), which incorporates the optimal transmission switching (OTS) for managing the uncertainty of wind power generation and equipment failures, i.e. outage unit/line. Also, this study presents a technique in stochastic SCUC model with the OTS action using the AC optimal power flow (AC-OPF). The AC-OPF provides a more accurate picture of power flow in the power system compared to the DC optimal power flow that is usually considered in the literature for the stochastic SCUC models and OTS action. While the stochastic SCUC model with the OTS action based on the AC-OPF is a mixed-integer non-linear programming model, this study transforms it into a mixed-integer linear programming (MILP) model. The MILP approach uses a piecewise linear model of the AC-OPF, which allows the reactive power and voltage to be considered directly in power flow model. This transformation guarantees achievement of a global optimal solution by the existing software and algorithms. The proposed stochastic SCUC problem is evaluated on the 6-bus and IEEE 118-bus test systems in pre- and post-transmission switching action. Obtained results demonstrate the effectiveness of the proposed model.

关键词： load flow IEEE 118-bus test systems uncertainty management OTS equipment failures piecewise linear model optimal transmission switching power generation dispatch wind power generation integer programming IEEE 6-bus test systems linear programming reactive voltage post-transmission switching action reactive power pre-transmission switching action stochastic optimisation model MILP security-constrained unit commitment wind power mixed-integer nonlinear programming nonlinear programming piecewise linear techniques stochastic linearised SCUC AC optimal power flow power generation scheduling mixed-integer linear programming AC-OPF

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How to convexify the intersection of a second order cone and a nonconvex quadratic

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MATHEMATICAL programming 2017年第1-2期162卷 393-429页

作者： Burer, Samuel Kilinc-Karzan, Fatma Univ Iowa Dept Management Sci Iowa City IA 52242 USA Carnegie Mellon Univ Tepper Sch Business Pittsburgh PA 15213 USA

A recent series of papers has examined the extension of disjunctive-programming techniques to mixed-integer second-order-cone programming. For example, it has been shown-by several authors using different techniques-that the convex hull of the intersection of an ellipsoid, , and a split disjunction, with , equals the intersection of with an additional second-order-cone representable (SOCr) set. In this paper, we study more general intersections of the form and , where is a SOCr cone, is a nonconvex cone defined by a single homogeneous quadratic, and H is an affine hyperplane. Under several easy-to-verify conditions, we derive simple, computable convex relaxations and , where is a SOCr cone. Under further conditions, we prove that these two sets capture precisely the corresponding conic/convex hulls. Our approach unifies and extends previous results, and we illustrate its applicability and generality with many examples.

关键词： Convex hull Disjunctive programming mixed-integer linear programming mixed-integer nonlinear programming mixed-integer quadratic programming Nonconvex quadratic programming Second-order-cone programming Trust-region subproblem

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Cargo scheduling decision support for offshore oil and gas production: a case study

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OPTIMIZATION AND ENGINEERING 2017年第4期18卷 991-1008页

作者： Mardaneh, Elham Lin, Qun Loxton, Ryan Wilson, Nicola Curtin Univ Dept Math & Stat Perth WA Australia Woodside Energy Ltd Perth WA Australia

Woodside Energy Ltd (Woodside), Australia's largest independent oil and gas company, operates multiple oil and gas facilities off the coast of Western Australia. These facilities require regular cargo shipments from supply vessels based in Karratha, Western Australia. In this paper, we describe a decision support model for scheduling the cargo shipments to minimize travel cost and trip duration, subject to various operational restrictions including vessel capacities, cargo demands at the facilities, time windows at the facilities, and base opening times. The model is a type of non-standard vehicle routing problem involving multiple supply vessels-a primary supply vessel that visits every facility during a round trip taking at most 1 week, and other supply vessels that are used on an ad hoc basis when the primary vessel cannot meet all cargo demands. We validate the model via test simulations using real data provided by Woodside.

关键词： Cargo scheduling Vehicle routing problem mixed-integer linear programming Oil and gas production

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Multi-period resource allocation for estimating project costs in competitive bidding

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CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH 2017年第2期25卷 303-323页

作者： Takano, Yuichi Ishii, Nobuaki Muraki, Masaaki Senshu Univ Sch Network & Informat Tama Ku 2-1-1 Higashimita Kawasaki Kanagawa 2148580 Japan Bunkyo Univ Fac Informat & Commun 1100 Namegaya Chigasaki Kanagawa 2538550 Japan Tokyo Inst Technol Dept Ind Engn & Management Meguro Ku 2-12-1-W9-73 Ookayama Tokyo 1528552 Japan

In competitive bidding for project contracts, contractors estimate the cost of completing a project and then determine the bid price. Accordingly, the bid price is markedly affected by the inaccuracies in the estimated cost. To establish a profit-making strategy in competitive bidding, it is crucial for contractors to estimate project costs accurately. Although allocating a large amount of resources to cost estimates allows contractors to prepare more accurate estimates, there is usually a limit to available resources in practice. To the best of our knowledge, however, none of the existing studies have addressed the resource allocation problem for estimating project costs in competitive bidding. To maximize a contractor's expected profit, this paper develops a multi-period resource allocation method for estimating project costs in a sequential competitive bidding situation. Our resource allocation model is posed as a mixed integer linear programming problem by making piecewise linear approximations of the expected profit functions. Numerical experiments examine the characteristics of the optimal resource allocation and demonstrate the effectiveness of our resource allocation method.

关键词： Resource allocation Cost estimation Project management Competitive bidding mixed-integer linear programming

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