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Showing 1-25 of 13,237 resultsfor "Index Terms":Demand Constraints
"Index Terms":Demand Constraints
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Optimization Dispatch Modeling for Demand Response Considering Supply and Demand balance and Security Constraints
Haijing Zhang;Chiyu Gong;Wenjie Ju;Guangxu Pan;Weishuai Wang
2021 Power System and Green Energy Conference (PSGEC)
Year: 2021 | Conference Paper |
Cited by: Papers (20)
In order to cope with the problem of photovoltaic and wind power consumption, demand response resource is introduced in the power spot market, and the effect of the demand side in the power spot market is increased through price signals and incentive mechanisms. The demand response resources maintain a balance between power supply and demand through participating in the real-time dispatch of the p...Show More
Assessment of a New Constraint Satisfaction-Based Hybrid Distributed Control Technique for Power Flow Management in Distribution Networks with Generation and Demand Response
IEEE Transactions on Smart Grid
Cited by: Papers (26)
Technical innovation in power distribution networks is pointing toward a decentralized control vision to deal with the issues in design and operations related to distributed energy resources. Thus, decentralized approaches to power flow management (PFM) are of significant importance from the distributed network operator (DNO) perspective. In this paper, a new hybrid distributed control approach is...Show More
Optimization Scheduling Strategy Considering Polycrystalline Silicon Production Process under Combined Demand Response
Yuduo Xiao;Siyang Liao;Lingfang Li;Jiaquan Yang;Xuehao He;Junyu Liang
2024 6th Asia Energy and Electrical Engineering Symposium (AEEES)
Year: 2024 | Conference Paper |
In order to fully mobilize the participation motivation of polysilicon loads whose adjustable potential is closely related to production processes, a combined demand response scheduling method considering both price-based and incentive-based strategies is proposed. This method aims to enhance the flexibility of the power grid, ensure the safe, stable and economical operation of the power system, a...Show More
A price-based demand response scheduling model in day-ahead electricity market
2016 IEEE Power and Energy Society General Meeting (PESGM)
Year: 2016 | Conference Paper |
Cited by: Papers (5)
The variation of power consumption on the demand side is a challenging issue for the real time balancing of power systems. To tackle this problem, various demand response programs have been introduced to help the Independent System Operator (ISO) in mitigating the demand fluctuation. Typically, they include demand curtailment programs and price responsive demand programs. This paper presents a sch...Show More
Modeling customer purchasing behaviour considering time-of-use tariffs and demand response
Miao Liu;Xiaohe Liang;Jian Li;Jipeng Kuai;Shiyi Zhao;Xuan Hui
2022 9th International Forum on Electrical Engineering and Automation (IFEEA)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
In the process of medium- and long-term time-of-trading, electricity consumers need to adjust their electricity purchase behavior according to their own characteristics in order to reduce their electricity costs and respond to the incentives of the power system. Therefore, this paper applies the theory of electricity demand elasticity and consumer psychology, considers the load characteristics of ...Show More
Optimization in load scheduling of a residential community using dynamic pricing
2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
Year: 2017 | Conference Paper |
Cited by: Papers (21)
Demand side management at the utility level is facing challenges of managing the peak demands since electricity cannot be stored in bulk so the utility has to match demand at any point in time. Scheduling of electrical appliances and proper design of the electricity tariffs are some of the optimization schemes used to reduce these peaks. With proper optimization scheme, the household consumer will...Show More
Pricing Demand-Side Flexibility With Noisy Consumers: Mean-Variance Trade-Offs
IEEE Transactions on Power Systems
Cited by: Papers (8)
We formulate and analyze a demand-side management framework in which an aggregator sets energy prices to flexible consumers who have a noisy demand. The aggregator strategizes between purchasing energy in the day-ahead market, and settling any possible mismatches due to demand variability in the real-time market. Because consumers are sensitive to volatility in their electricity bill, the aggregat...Show More
Optimal operation of integrated energy systems subject to coupled demand constraints of electricity and natural gas
This paper proposes a hybrid multi-objective optimization and game-theoretic approach (HMOGTA) to achieve the optimal operation of integrated energy systems (IESs) consisting of electricity and natural gas (E&G) utility networks, multiple distributed energy stations (DESs), and multiple energy users (EUs). The HMOGTA aims to solve the coordinated operation strategy of the electricity and natural g...Show More
Network-Constrained Stackelberg Game for Pricing Demand Flexibility in Power Distribution Systems
IEEE Transactions on Smart Grid
Cited by: Papers (24)
We propose a network-constrained Stackelberg game framework to set energy prices for flexible consumers in a distribution grid. In this set-up, an aggregator acts as the leader, setting energy prices for each node, and price-responsive consumers are the followers, adjusting their demand according to the price charged. We show that this problem has an equilibrium in which the optimal demands can be...Show More
Dynamic pricing for demand-side management within smart grid environment
2016 IEEE International Conference on Power and Energy (PECon)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
This paper proposes an innovative developed framework to implement and evaluate an effective dynamic pricing (dP) methodology for demand-side management (DSM) within smart grid (SG) environment. The proposed framework is realized through two phases. In the first phase, a generic set of formulas is developed based on a composite particle swarm-heuristic optimization technique to enable informing co...Show More
A Statistical Demand-Price Model With Its Application in Optimal Real-Time Price
IEEE Transactions on Smart Grid
Cited by: Papers (107)
In this paper, the price elasticity of electrical demand is studied in a smart grid framework where electricity loads are scheduled by distributed Energy Management Controller (EMC) units. It is shown that different price responsive behaviors of electricity loads are results from interactions between their utilities to customers as a function of time and electricity prices. Based on this observati...Show More
Demand Response Based on Utility Function Maximization Considering Time-of-Use Price
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
Year: 2019 | Conference Paper |
Cited by: Papers (4)
In smart grid, demand side management is the main component that adapts elastic demand to fluctuating generations. Classical demand theory is a branch of microeconomics and it is about the study of consumer demand in the context of a market economy. Important tools in this theory are utility functions and two constraints i.e., physical and budget constraint. In this paper, two models for demand re...Show More
Refrigeration Control Algorithm for Managing Supermarket’s Overall Peak Power Demand
Demand-side management is an integral part of smart grids, which stabilizes and optimizes the power supply grid. For the consumer side, the demand management represents a way to reduce the energy costs. In this brief, a controllability of refrigeration system's power demand is validated in order to manage the supermarket's overall peak power demand. The applied control approach performs short-term...Show More
Bottleneck Identification of Equipment Manufacturing Industry Chain Upgrading Based on the TOC
2011 International Conference on Information Management, Innovation Management and Industrial Engineering
Year: 2011 | Conference Paper |
Cited by: Papers (1)
Equipment manufacturing industry is a strategic industry of the national economy development. But at present, the equipment manufacturing industry in liaoning province still exist many problems. Therefor, the bottleneck resources determines the system output, in order to promote equipment manufacturing industry chain upgrading, identifying the bottleneck of equipment manufacturing industry chain h...Show More
Virtual peak plant concepts of Demand Response
2012 International Conference on Systems and Informatics (ICSAI2012)
Year: 2012 | Conference Paper |
Cited by: Papers (1)
Demand Response (DR) extends customer participation on power system and brings about a paradigm shift from simplex to interactive operation in power system with the advancement of smart grid technology. Therefore it is important to model the characteristics of customers in DR, and this paper proposes customer information as registration and participation information of DR which are some indices to...Show More
Transactive Control of Industrial Pumps with Associated Storage for Demand Response Market Participation in Singapore
IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society
Year: 2021 | Conference Paper |
In industrial sector, certain demands that are associated with operations of pumps are accompanied by reservoirs with storage capabilities for chemicals or solvents. Consequently, such industries possess inherent demand flexibility that can be utilized. This work proposes the coordinated control of industrial pump loads for participation in Singapore’s Demand Response (DR) programme by adjusting t...Show More
Analysis of energy demand forecasting model in the context of electric power alteration
2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)
Year: 2017 | Conference Paper |
The electric power alteration strategy can realize the substitution of the power supply for the coal and the fuel in the terminal energy consumption, which can realize the fundamental change of energy development mode. In this paper, to provide theoretical guidance for grid planning, energy demand forecasting model influencing factors in the context of electric power alteration are thoroughly anal...Show More
Multi-objective Optimization based Automated Demand Response Model in Smart Distribution Grid
2021 9th IEEE International Conference on Power Systems (ICPS)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
Automated Demand Response (ADR) plays a vital role in the smart grid. This paper uses a two-layer hierarchical day ahead model where the utility and consumer are the key stakeholders. The Utility being at the top layer initiate an ADR event during peak load conditions. It sends a signal for managing the load to the consumers, equipped with smart meter and load control device technologies at their ...Show More
An Approach for Distribution Transformer Management With a Multiagent System
Warodom Khamphanchai;Manisa Pipattanasomporn;Murat Kuzlu;Jinghe Zhang;Saifur Rahman
IEEE Transactions on Smart Grid
Cited by: Papers (14)
The objective of this paper is to propose an approach for smart distribution transformer (TR) management to help implement emergency demand response (DR) at a TR. In this paper, a DR algorithm embedded in a multiagent system is presented. The proposed algorithm ensures that an instantaneous power demand at a TR is kept below a certain demand limit during a DR event while the impacts of demand rest...Show More
A Bi-Level Decision Framework for Incentive-Based Demand Response in Distribution Systems
Vipin Chandra Pandey;Nikhil Gupta;Khaleequr Rehman Niazi;Anil Swarnkar;Tanuj Rawat;Charalambos Konstantinou
In a growing retail electricity market, demand response (DR) is becoming an integral part of the system to enhance economic and operational performances. This is rendered as incentive-based DR (IBDR) in the proposed study. It presents a bi-level decision framework under the ambit of multiple demand response providers (DRPs) in the retail competition. It is formulated as a multi-leader-multi-follow...Show More
Computational Intelligence-Based Demand Response Management in a Microgrid
Pramod Uthpala Herath;Vito Fusco;María Navarro Cáceres;Ganesh Kumar Venayagamoorthy;Stefano Squartini;Francesco Piazza;Juan Manuel Corchado
A demand response management (DRM) system is proposed here, in which a service provider determines a mutual optimal solution for the utility and the customers in a microgrid setting. Such a system may find use with a service provider interacting with the respective customers and utilities under the existence of some DRM agreements. The service provider is an entity which acts at different levels o...Show More
Stochastic and Fuzzy-Stochastic Production Models for Linear-Price Dependent Demand and Stock Dependent Demand with Constraints
2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)
Year: 2022 | Conference Paper |
Production inventory model with linear dependent and stock dependent demand is developed under the stochastic and fuzzy-stochastic environments together with restrictions on total shortage price and storage space In real life situation, demand rate need not be uniform during the production process. So, we consider the demand rates are linear price dependent demand and stock dependent demand. Using...Show More
Classified Optimization Scheduling Algorithm Driven by Multi-QoS Attributes in Economical Grid
2008 IFIP International Conference on Network and Parallel Computing
Year: 2008 | Conference Paper |
Cited by: Papers (1)
It is because the resources are geographic distributed, heterogeneous and dynamic in computational grid environments that makes QoS guided scheduling a complex and challenging problem, especially when the tasks have multiple QoS needs. The economic model was applied to solve the resource allocation problem controlled by QoS in grid. Integration function is used to quantitative QoS, which aims to a...Show More
Determining the optimal constrained multi-item (Q, r) inventory policy by maximising risk-adjusted profit
The predominant approach to determining replenishment batch sizes for capital constrained multi-item inventories is to assume that at some point in time the replenishment of all items will coincide, and that batch sizes are small enough that the constraint is not violated when this event occurs. However, when an inventory consists of a large number of independently replenished components, the prob...Show More
A Microgrid Optimization Method That Comprehensively Considers Demand Response and New Energy Consumption
Tong Sun;Guili Ding;Zhihao Xu;Bing Kang;Dongxu Ke;Hongtao Yun
2024 5th International Conference on Smart Grid and Energy Engineering (SGEE)
Year: 2024 | Conference Paper |
In view of the difficulties faced by the consumption of new energy and the problem of flexible dispatch of high proportion of renewable energy into the distribution network, this paper first considers the complementarity of multiple energy sources, and establishes a model for the subsystems including wind, solar, diesel and storage energy by combining wind energy, solar energy and local load in th...Show More
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