检索结果-内蒙古大学图书馆

Merit order or unit-commitment: How does thermal power plant modeling affect storage demand in energy system models?

引用

RENEWABLE ENERGY 2017年 105卷 117-132页

作者： Cebulla, F. Fichter, T. German Aerosp Ctr DLR Inst Engn Thermodynam Dept Syst Anal & Technol Assessment Cologne Germany

Flexibility requirements in prospective energy systems will increase to balance intermittent electricity generation from renewable energies. One option to tackle this problem is electricity storage. Its demand quantification often relies on optimization models for thermal and renewable dispatch and capacity expansion. Within these tools, power plant modeling is typically based on simplified linear programming merit order dispatch (LP) or mixed-integer unit-commitment with economic dispatch (MILP). While the latter is able to capture techno-economic characteristics to a large extent (e.g. ramping or start-up costs) and allows on/off decision of generator units, LP is a simplified method, but superior in computational effort. We present an assessment of how storage expansion is affected by the method of power plant modeling and apply a cost minimizing optimization model, comparing LP with MILP. Moreover, we evaluate the influence of wind and photovoltaic generation shares and vary the granularity of the power plant mix within MILP. The results show that LP underestimates storage demand, as it neglects technical restrictions which affect operating costs, leading to an unrealistically flexible thermal power plant dispatch. Contrarily, storage expansion is higher in MILP. The deviation between both approaches however becomes less pronounced if the share of renewable generation increases. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Renewable energy Storage demand unit-commitment Economic dispatch Merit order Expansion planning

来源：评论

学校读者我要写书评

暂无评论

A comparison of four approaches from stochastic programming for large-scale unit-commitment

引用

EURO JOURNAL ON COMPUTATIONAL OPTIMIZATION 2017年第1-2期5卷 119-147页

作者： van Ackooij, Wim OSIRIS EDF R&D 1 Ave Gen Gaulle F-92141 Clamart France

In energy management, the unit-commitment problem deals with computing the most cost-efficient production schedule that meets customer load, while satisfying the operational constraints of the units. When the problem is large scale and/or much modelling detail is required, decomposition approaches are vital for solving this problem. The recent strong increase in intermittent, relative unforeseeable production has brought forth the need of examining methods from stochastic programming. In this paper we investigate and compare four such methods: probabilistically constrained programming, robust optimization and 2-stage stochastic and robust programming, on several large-scale instances from practice. The results show that the robust optimization approach is computationally the least costly but difficult to parameterize and has the highest recourse cost. The probabilistically constrained approach is second as computational cost is concerned and improves significantly the recourse cost functions with respect to the robust optimization approach. The 2-stage optimization approaches do poorly in terms of robustness, because the recourse decisions can compensate for this. Their total computational cost is highest. This leads to the insight that 2-stage flexibility and robustness can be (practically) orthogonal concepts.

关键词： Probabilistically constrained programming Robust optimization Stochastic programming unit-commitment

来源：评论

学校读者我要写书评

暂无评论

Clustering based unit commitment with wind power uncertainty

引用

ENERGY CONVERSION AND MANAGEMENT 2016年 111卷 89-102页

作者： Shukla, Anup Singh, S. N. IIT Kanpur Dept Elect Engn Kanpur Uttar Pradesh India

Wind power generation is continuously increasing around the world, but due to uncertainty in wind power generation, the unit commitment problem has become complex. In this paper, scenario generation and reduction techniques are used to consider wind power uncertainty on system operation. Also, a new approach is developed for creating clusters of unit status associated with a probability of occurrence from an initial set of large wind power generation scenarios. And then a model of wind-hydro-thermal coordination problem along with the pumped storage plant is established. Combination of proposed weighted-improved crazy particle swarm optimization along with a pseudo code based algorithm and scenario analysis method is utilized to solve above problem. The effectiveness and feasibility of the proposed method is tested on systems with and without pumped storage plant integration. The results are analyzed in detail, which demonstrate the model and the proposed method is practicable in solving the unit commitment. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： unit-commitment Uncertainty Weighted-improved crazy particle swarm optimization Scenario reduction

来源：评论

学校读者我要写书评

暂无评论

Advanced three-stage pseudo-inspired weight-improved crazy particle swarm optimization for unit commitment problem

引用

ENERGY 2016年 96卷 23-36页

作者： Shukla, Anup Singh, S. N. IIT Kanpur Dept Elect Engn Kanpur Uttar Pradesh India

This paper proposes an advanced three-stage approach to solve the unit commitment problem. The proposed approach utilizes three different stages to get the optimum solution. In the first stage, a primitive structure of all units is obtained on the basis of predefined priority. In the second stage, a weight-improved crazy particle swarm optimization considering a pseudo-inspired algorithm has been proposed for economic scheduling of operating units. Finally, in the third stage, extra reserve and total operating cost are minimized using solution restructuring process. In addition, problem formulation includes multi-fuel options, prohibited operating zones and nonlinearities like valve point loading effects. The effectiveness of proposed approach is tested on various systems including IEEE 118-bus system and its performance is compared with the existing methods with the help of simulation results. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： unit-commitment Priority list Solution restructuring process Economic dispatch Weight-improved crazy particle swarm optimization

来源：评论

学校读者我要写书评

暂无评论

Modeling Discrete Decision Variables in Economic Dispatch of Hydrogen-based Energy Hubs

Modeling Discrete Decision Variables in Economic Dispatch of...

引用

27th International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)

作者： Iuliano, Silvia Vaccaro, Alfredo Mofidi, Azadeh De Caro, Fabrizio Univ Sannio Dept Engn Benevento Italy Islamic Azad Univ Dept Elect Engn Dezful Iran Univ Salerno Dept Ind Engn Fisciano Italy

ISBN: (纸本)9798350387605;9798350387599

Hydrogen-based energy hubs are considered as a highly promising enabling technology for increasing the hosting capacity of renewable power generators and enhancing the flexibility of decarbonized power systems. This emerging paradigm facilitates multiple conversions of various energy carriers, which can be leveraged to minimize energy supply costs, greenhouse emissions from local generators, and imbalance costs associated with renewable power generators. To achieve this goal, multi-temporal optimization frameworks are commonly utilized to manage the dispatch of energy hub components in order to meet the expected load demand profiles at the lowest cost possible. However, one of the most challenging issues in solving this economic dispatch problem is accurately modeling the operational constraints of the hydrogen-based converters, which entails considering discrete decision variables that describe the operational state of each converter and its corresponding impacts on hub costs and component degradation. This paper presents a mathematical framework to solve this mixed-integer programming problem. The framework enables the definition, for a given time scenario, of the commitment of energy hub components and their optimal dispatch, which satisfy the load demand, ensuring system reserve for managing unexpected load variations, and guaranteeing the reliable operation of all hydrogen-based components. Detailed simulation results obtained on a realistic case study are presented and discussed in order to prove the effectiveness of the proposed framework.

关键词： Energy hub Multi-carrier energy system unit-commitment Energy hub modeling

来源：评论

学校读者我要写书评

暂无评论

A survey comparing centralized and decentralized electricity markets

引用

ENERGY STRATEGY REVIEWS 2022年 40卷

作者： Ahlqvist, Victor Holmberg, Par Tangeras, Thomas Copenhagen Econ Stockholm Sweden Res Inst Ind Econ IFN Stockholm Sweden Univ Cambridge Energy Policy Res Grp EPRG Cambridge England Stanford Univ Program Energy & Sustainable Dev PESD Stanford CA USA

This paper surveys the literature relevant for comparing centralized and decentralized wholesale electricity markets. Under a centralized design, producers submit detailed cost data to the system operator the day before delivery, who then decides how much to produce for each generation unit. This differs from the decentralized design, which relies on self-commitment, and where producers send less detailed cost information to the system operator. US markets have converged on the centralized design, whereas the trend goes in the other direction in Europe. The paper discusses advantages and disadvantages of the two approaches and proposes suggestions for improvement of each design.

关键词： Wholesale electricity markets Market clearing Centralization Decentralization unit-commitment Self-dispatch

来源：评论

学校读者我要写书评

暂无评论

Energy Transition Planning with High Penetration of Variable Renewable Energy in Developing Countries: The Case of the Bolivian Interconnected Power System

引用

ENERGIES 2022年第3期15卷 968页

作者： Navia, Marco Orellana, Renan Zarate, Sulmayra Villazon, Mauricio Balderrama, Sergio Quoilin, Sylvain Univ Mayor San Simon Fac Ciencias & Tecnol Cochabamba 4780 Bolivia Univ Liege Integrate & Sustainable Energy Syst ISES B-4000 Liege Belgium Katholieke Univ Leuven Dept Mech Engn B-3000 Leuven Belgium

The transition to a more environmentally friendly energy matrix by reducing fossil fuel usage has become one of the most important goals to control climate change. Variable renewable energy sources (VRES) are a central low-carbon alternative. Nevertheless, their variability and low predictability can negatively affect the operation of power systems. On this issue, energy-system-modeling tools have played a fundamental role. When exploring the behavior of the power system against different levels of VRES penetration through them, it is possible to determine certain operational and planning strategies to balance the variations, reduce the operational uncertainty, and increase the supply reliability. In many developing countries, the lack of such proper tools accounting for these effects hinders the deployment potential of VRES. This paper presents a particular energy system model focused on the case of Bolivia. The model manages a database gathered with the relevant parameters of the Bolivian power system currently in operation and those in a portfolio scheduled until 2025. From this database, what-if scenarios are constructed allowing us to expose the Bolivian power system to a set of alternatives regarding VRES penetration and Hydro storage for that same year. The scope is to quantify the VRES integration potential and therefore the capacity of the country to leapfrog to a cleaner and more cost-effective energy system. To that aim, the unit-commitment and dispatch optimization problem are tackled through a Mixed Integer Linear Program (MILP) that solves the cost objective function within its constraints through the branch-and-cut method for each scenario. The results are evaluated and compared in terms of energy balancing, transmission grid capability, curtailment, thermal generation displacement, hydro storage contribution, and energy generation cost. In the results, it was found that the proposed system can reduce the average electricity cost down to 0.22 EUR/MWh

关键词： energy planning power system modeling flexibility unit-commitment renewable energy hydro-power VRES CO2 emissions low-carbon

来源：评论

学校读者我要写书评

暂无评论

Cluster based Wind-Hydro-Thermal unit commitment Using GSA Algorithm

Cluster based Wind-Hydro-Thermal Unit Commitment Using GSA A...

引用

IEEE PES General Meeting

作者： Shukla, Anup Singh, S. N. Indian Inst Technol Dept Elect Engn Kanpur 208016 Uttar Pradesh India

ISBN: (纸本)9781479964154

Due to intermittency and random nature of wind power generation over short time period, unit commitment problem becomes more complex. In this paper, wind power forecasting uncertainty is represented by wind scenarios generated using Monte Carlo simulation. The computational burden in stochastic models that require scenario representation is reduced by creating clusters of commitment of units associated with a probability of occurrence from an initial set of large wind scenarios. Gravitational search algorithm (GSA) is applied for solving wind-hydro-thermal coordination problem and a pseudo code based algorithm is suggested to deal with the equality constraints of the problem for accelerating the optimization process. The effectiveness of the proposed algorithms is demonstrated on a test system.

关键词： unit-commitment uncertainty economic dispatch gravitational search algorithm clusters analysis

来源：评论

学校读者我要写书评

暂无评论

Optimal Variable Renewable Energy Generation Schedules Considering Market Prices and System Operational Constraints

引用

ENERGIES 2021年第17期14卷 5320-5320页

作者： Imcharoenkul, Veeraya Chaitusaney, Surachai Chulalongkorn Univ Fac Engn Dept Elect Engn Bangkok 10330 Thailand

The maximization of output from variable renewable energy (VRE) sources considering system operational constraints (SOCs) is a traditional method for maximizing VRE generators' profits. However, in wholesale electricity markets, VRE participation tends to reduce marginal prices (MP) because of its low marginal costs. This circumstance, called the "merit-order effect" (MOE), reduces the generators' profits. Thus, the traditional method is possibly no longer the best and only method to maximize the generators' profits. Moreover, the VRE support schemes also affect MP, making MOE more severe. VRE curtailment can relieve MOE, but VRE output must be decreased, thereby reducing the generators' profits. This paper proposes a method to find the optimal VRE generation schedules that maximize VRE generators' profits while considering the trade-off among the VRE output, MP, and SOCs. The method combines the merit-order model and the unit-commitment model solved by the optimization tools in MATLAB. Thailand's electrical system was the test system. The result shows that VRE generators' profits from the proposed method are significantly higher than from the traditional method when the system has high wind penetration, and the generators have no support scheme. Curtailing approximately 7-10% of wind output can increase the average MP by 23.6-30%.

关键词： merit-order effect profit maximization system operational constraints unit-commitment variable renewable energy renewable energy support scheme

来源：评论

学校读者我要写书评

暂无评论

Cluster based Wind-Hydro-Thermal unit commitment Using GSA Algorithm

Cluster based Wind-Hydro-Thermal Unit Commitment Using GSA A...

引用

IEEE Power and Energy Society General Meeting

作者： Anup Shukla S. N. Singh Department of Electrical Engineering Indian Institute of Technology Kanpur

ISBN: (纸本)9781479964161

关键词： unit-commitment Uncertainty Economic dispatch Gravitational search algorithm Clusters analysis

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：