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Energy management of distribution network with inverter-based renewable virtual power plant considering voltage security index

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IET RENEWABLE POWER GENERATION 2024年第1期18卷 126-140页

作者： Azarhooshang, Alireza Rezazadeh, Alireza Shahid Beheshti Univ Dept Elect & Elect Engn Tehran Iran Shahid Beheshti Univ Dept Elect & Elect Engn Tehran Iran

Virtual power plants (VPP) with resources and storages are able to control the active power of the network. They are also connected to the network through an inverter, which is capable of controlling reactive power. Therefore, it is expected that the optimal use of inverter-based VPP can play an effective role in improving the economic and technical status of the distribution network. So, the operation of a smart distribution system is presented in this paper by considering inverter-based VPPs constrained to the operator's measures. The weighted sum of expected energy loss (EEL) and voltage security index (VSI) is minimized while considering AC optimal power flow equations, restrictions of network's security, and operating model of the inverter-based VPPs. Uncertainties with an origin of the amount of demand, renewable energy, and parameters of mobile energy storage are also discussed. The uncertainties are modelled using a stochastic optimization approach relying on the unscented transformation (UT). Evaluating inverter-based VPP performance, providing models of flexible resources such as responsive loads and mobile storages, checking network voltage security status, and modelling uncertainties using the UT method are among the innovations of this study. According to the results, it is demonstrated that the technical situation of the distribution system is improved with the help of optimal management of the VPP. With energy management of the inverter-based VPP, the suggested design has succeeded to enhance the operating status (voltage security) of the system by approximately 33-73% (12%) in comparison to power flow studies. The operation of a smart distribution system is presented here by considering coupling of renewable virtual power plants (VPPs) and electric springs (ES), namely VPP-ES, constrained to the operator's ***

关键词： energy management systems energy storage renewable energy sources smart power grids stochastic programming

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Sequential Clearing of Network-Aware Local Energy and Flexibility Markets in Community-Based Grids

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IEEE TRANSACTIONS ON SMART GRID 2024年第1期15卷 405-417页

作者： Talari, Saber Birk, Sascha Ketter, Wolfgang Schneiders, Thorsten Univ Cologne Fac Management Econ & Social Sci D-50923 Cologne Germany Univ Appl Sci Cologne Cologne Inst Renewable Energy D-50679 Cologne Germany

In this paper, network-aware clearing algorithms for local energy markets (LEMs) and local flexibility markets (LFM) are proposed to be sequentially run and coordinate assets and flexible resources of energy communities (ECs) in distribution networks. In the proposed LEM clearing algorithm, EC managers run a two-stage stochastic programming while considering random events by scenario generation and network constraints using linearized DistFlow. As one of outcomes, maximum available up- and down-regulations provided by ECs are estimated in LEM and communicated to LFM. In the distributed LFM clearing algorithm, an iterative auction is designed using a dual-decomposition technique (Augmented Lagrangian) which is solved by consensus alternating direction method of multipliers. The LFM algorithm efficiently dispatches the flexibility provided by ECs in operating time while considering flexibility local marginal price as pricing method. Network constraints are included in the algorithm with an AC distribution optimal power flow for dynamic network topology in which branches and buses are decomposed to solve the problem in distributed fashion. The designed LFM algorithm can respond to exogenous and endogenous signals for flexibility requests. The simulation results in a test case display effectiveness of two proposed LEM and LFM algorithms for an efficient provision of flexibility.

关键词： Dual-decomposition energy communities flexibility provision iterative auction market design stochastic programming

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Modeling collaborative data service provision around an open source platform under uncertainty with stochastic provision games

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OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 2024年 129卷

作者： Pisciella, Paolo Gaivoronski, Alexei A. Norwegian Univ Sci & Technol Dept Ind Econ & Technol Management Alfred Getz vei 3 N-7491 Trondheim Norway

This paper uses concepts taken from Cooperative Game Theory to model the incentives to join forces among a group of agents involved in collaborative provision of a mobile app under uncertainty around an open source platform. Demand uncertainty leads the agents to reach a noncooperative equilibrium by offering low quality apps. This can be avoided by introducing a coordination scheme through a common platform that eliminates the effects of lack of information. Coordination is achieved by providing a revenue sharing scheme enforcing the stability of the collaboration but also defined in a "fair"way, depending on the importance of the resources that each provider supplies to the app. To this aim, we introduce the concept of stochastic Provision Games. . This coordination leads both to higher app quality and improved profitability for the participants.

关键词： stochastic programming Cooperative game theory stochastic provision games Newsvendor problem Collaborative service provision Mobile apps

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A new approach for reliability modeling in green closed-loop supply chain design under post-pandemic conditions: A case study

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COMPUTERS & CHEMICAL ENGINEERING 2024年 189卷

作者： Izadian, Amir Bahador Pasandideh, Seyed Hamid Reza Abad, Amin Reza Kalantari Khalil Kharazmi Univ Fac Engn Dept Ind Engn Tehran Iran Iran Univ Sci & Technol Sch Ind Engn Tehran Iran

Climate change, pandemics, and economic crises have created complex challenges for supply chains. Managing such situations requires the development of reliable decision-making frameworks. In this paper, a multi-level, multi-product, and multi-period closed-loop supply chain is studied with environmental considerations. A biobjective mixed-integer linear programming model is presented for facility location, flow allocation, and transportation mode determination. The objectives of the model are to minimize the total cost and maximize the reliability of suppliers to meet the needs of factories. In the area of reliability engineering, a new approach is defined for modeling the probability of supplier availability considering catastrophic failures caused by pandemics, economic sanctions, and other failure modes. Furthermore, the decision-maker can handle the emission of greenhouse gases by an upper-bound constraint. In order to face the simultaneous uncertainty of demand and the maximum CO2 2 emission allowed, a scenario-based two-stage stochastic programming approach is proposed. The improved version of the augmented epsilon-constraint method, known as AUGMECON2, is used to solve the proposed model. The efficiency of the model and the proposed solution approach are investigated through a real- world case study of a battery manufacturing company in Iran.

关键词： Supply chain network design Circular supply chain Reliability stochastic programming Augmented epsilon-constraint

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Integrated batch production planning and scheduling optimization considering processing time uncertainty

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OPTIMIZATION AND ENGINEERING 2024年第4期25卷 2369-2400页

作者： Gao, Jingxing Guo, Ziqing Liu, Linlin Dong, Yachao Du, Jian Dalian Univ Technol Inst Chem Proc Syst Engn Frontiers Sci Ctr Smart Mat Oriented Chem Engn Sch Chem Engn Dalian 116024 Peoples R China

Planning and scheduling of a multipurpose batch chemical plant is always affected by uncertain factors, and one of them is the processing time of tasks. When the processing time deviates from its nominal value, the original production target calculated by the planning-layer model may be infeasible for the scheduling-layer model. To address this issue, an integrated model of planning and scheduling layers is proposed in this article. The integrated model is based on a rolling horizon with recently proposed production capacity constraints;while the scheduling-layer model is based on stochastic programming. Based on the comparison with different strategies in our case studies, we show that the proposed approach could achieve a reduction of approximately 46% in total cost and a higher demand satisfaction level.

关键词： Integrated chemical planning and scheduling stochastic programming Processing time uncertainty Rolling horizon method

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The Value of Probabilistic Forecasts for Electricity Market Bidding and Scheduling Under Uncertainty

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IEEE TRANSACTIONS ON POWER SYSTEMS 2024年第6期39卷 6986-6997页

作者： Beykirch, Mario Bott, Andreas Janke, Tim Steinke, Florian Tech Univ Darmstadt Energy Informat Networks & Syst D-64283 Darmstadt Germany

This work examines the value of probabilistic forecasts for optimizing the interaction of local energy systems with electricity markets, namely bid or schedule optimization by the responsible market agent. We aim to understand what type and quality of forecast is needed in the optimization task. First, we theoretically examine typical stochastic programming formulations to find which forecast type, namely expected values, marginal distributions, or joint distributions, is required to achieve the mathematically best possible result. We find that only few specific problem settings require full multivariate joint forecast distributions. In many other common cases, marginal distributions or expected values only are sufficient. Second, we experimentally analyze the influence of forecast errors on the performance of the stochastic program's solution for two important variations of the scheduling problem and compare this to common statistical loss functions used for training forecasts. The evaluation is made computationally feasible by a formal analysis of the stochastic programs. We find that the continuous ranked probability score (CRPS) better matches the true performance of the probabilistic forecast than the logarithmic score in our setups, being less prone to overestimating the predicted variance. Nevertheless, solutions with similar CRPS may still perform very differently in the optimization task.

关键词： Optimization stochastic processes Probabilistic logic Task analysis Wind forecasting programming Power generation stochastic programming probabilistic forecasting energy forecasting energy scheduling

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The impact of pumped hydro energy storage configurations on investment planning of hybrid systems with renewables

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RENEWABLE ENERGY 2024年 222卷

作者： Yurter, Gulin Nadar, Emre Kocaman, Ayse Selin Bilkent Univ Dept Ind Engn Ankara Turkiye MIT Energy Initiat Cambridge MA USA

The pumped hydro energy storage (PHES) systems can be installed in various configurations depending on the specific geographical and hydrological conditions. Closed -loop PHES systems are off -stream and have no natural inflow to the system. However, open -loop systems are on -stream and have natural inflows to the upper and/or lower reservoirs. In this study, we develop two -stage stochastic programming models for various PHES configurations to investigate how the choice of PHES configuration impacts the sizing decisions and costs of a hybrid system that includes a renewable power generator co-operated with PHES. Our numerical results show that using a PHES facility instead of a conventional hydropower system reduces the expected system cost and mismatched demand significantly. Open -loop PHES facilities perform better than closed -loop PHES and seawater-PHES facilities, dramatically lowering the need for fossil fuels in demand fulfillment. The most cost-efficient PHES configuration is when there is natural inflow to the upper reservoir. Using solar energy instead of wind as the renewable source significantly increases the requirement for larger upper reservoirs in on -stream open -loop PHES facilities, while reducing the expected system cost for all configurations.

关键词： Pumped hydro energy storage Renewable energy stochastic programming Hybrid energy systems Investment planning

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A multi-stage framework for coordinated scheduling of networked microgrids in active distribution systems with hydrogen refueling and charging stations

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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 2024年 71卷 1442-1455页

作者： Parsibenehkohal, Reza Jamil, Mohsin Khan, Ashraf Ali Mem Univ Newfoundland Fac Engn & Appl Sci Dept Elect & Comp Engn St John NF A1B 5S7 Canada

Due to the increase in electric energy consumption and the significant growth in the number of electric vehicles (EV) at the level of the distribution network, new networks have started using new fuels such as hydrogen to improve environmental indicators and at the same time better efficiency from the excess capacity of renewable resources. In this article, the services that can be provided by hydrogen refueling stations and charging electric vehicles in the optimal performance of microgrids have been investigated. The model proposed in this paper includes a two-stage stochastic framework for scheduling resources in microgrids, especially hydrogen refueling stations and electric vehicle charging. In this model, two main goals of cost minimization and greenhouse gas emissions are considered. In the proposed framework and in the first stage, the service range of microgrids is determined precisely according to the electrical limitations of distribution systems in emergency situations. Then, in the second stage, the problem of energy management in each microgrid will be solved centrally. In this situation, various indicators including the output energy of renewable sources, smart charging of hydrogen and electric vehicle charging stations (EV/FCV) and flexible loads (FL) are evaluated. The final mathematical model is implemented as a multivariate integer multiple linear problem (MILP) using the GUROBI solver in GAMS software. The simulation results on the modified IEEE 118-Bus network show the positive effect of the presence of flexible loads and smart charging strategies by charging stations. Also, the numerical derivation shows that the operating costs of the entire system can be reduced by 4.77% and the use of smart charging strategies can reduce greenhouse gas emissions by 49.13%.

关键词： stochastic programming Active distribution system Networked microgrids Electric vehicle charging stations Hydrogen refueling stations Multi-objective optimization

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Eco-environmental regret-aware optimization of networked multi-energy microgrids with fully carbon elimination and electric vehicles' promotion

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SUSTAINABLE CITIES AND SOCIETY 2024年 115卷

作者： Deng, Zhuofu Zheng, Yingnan Zhang, Jiaqi Liu, Peng Zhu, Zhiliang Northeastern Univ Software Coll Shenyang 110819 Peoples R China State Grid Liaoning Elect Power Co Ltd Shenyang Power Supply Co Shenyang 110002 Peoples R China China Elect Power Res Inst State Grid Co Ltd Beijing 100192 Peoples R China

With the escalating concern of global warming propelled by the rise in Earth's temperature, the need for effective CO2 management has become crucial. This paper presents an innovative CO2 elimination approach, wherein a multiple integrated system of energies (MISEs) incorporating sustainable resources, including renewable resources (RENs), plug-in electric vehicles (PEVs), and demand response programs, is optimized. The proposed carbon elimination framework begins by modeling the onsite carbon capturing and recycling within each MISE. To effectively utilize the onsite carbon recycling facilities and achieve carbon neutrality, the proposed model also incorporates carbon transfer capability between MISEs, thereby enhancing the efficiency of overall carbon recycling. Furthermore, a stochastic p-robust optimization technique is proposed to effectively manage uncertainties by combining the advantages of stochastic programming and robust optimization. This uncertainty modeling approach promotes greater utilization of sustainable resources like PEVs and RENs due to their lower operational regrets from economic and environmental perspectives. Based on the simulation results, implementing the p-robust-based regret assessment technique led to the total operation cost increasing by only 2.75 %, while achieving a significant 44.5 % reduction in maximum relative regret. These results underscore the effectiveness of the proposed framework in enhancing both the economic and environmental performance of MISEs.

关键词： Carbon elimination Carbon transaction Electric vehicle promotion Multi energy transactive multi-microgrids P -robust regret assessment stochastic programming

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Optimal hybrid layout of point and open-path gas detectors in process facilities of natural gas stations

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PROCESS SAFETY PROGRESS 2024年第3期43卷 494-506页

作者： Xiao, Fei Qian, Hao Liu, Lisheng Shao, Lingling PetroChina Southwest Oil & Gas Field Co Chengdu 610000 Sichuan Peoples R China China Univ Petr East China Dept Safety Sci & Engn Qingdao Peoples R China

Because open-path gas detectors offer superior technical performance, leakage monitoring systems tend to use a hybrid layout of point and open-path gas detectors. However, most research on the optimized layout of leakage monitoring has focused only on point gas detectors. In this paper, an optimization model for a hybrid layout of point and open-path gas detectors was proposed considering the cost-benefit ratio and detection time. As the measured value of an open-path gas detector is an integral concentration, a monitor line in the simulation was calculated via the approximate rectangle method. The results showed that the use of a multiobjective gas detector layout considering the cost-benefit ratio and an improved non-dominated sorting genetic algorithm (NSGA-II) could optimize the layout of hybrid detectors. The hybrid layout was analyzed in a case study of process facilities at a natural gas station. As the number of detectors increased (safety investment), the proportion of open-path gas detectors increased, improving both leakage monitoring performance and the cost-benefit ratio. Additionally, the layout of the point gas detectors was analyzed. A comparison of objective function values for detection time showed the superiority of the hybrid layout in our research.

关键词： cost-benefit ratio detection time gas detector hybrid layout stochastic programming

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