Results 1 - 10 of 47

Multiobjective TOU Pricing Optimization Based on NSGA2

by Huilan Jiang , Bingqi Liu , Yawei Wang , Shuangqi Zheng
"... Fast and elitist nondominated sorting generic algorithm (NSGA2) is an improved multiobjective genetic algorithm with good convergence and robustness. The Pareto optimal solution set using NSGA2 has the character of uniform distribution. This paper builds a time-of-use (TOU) pricing mathematical mod ..."
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Fast and elitist nondominated sorting generic algorithm (NSGA2) is an improved multiobjective genetic algorithm with good convergence and robustness. The Pareto optimal solution set using NSGA2 has the character of uniform distribution. This paper builds a time-of-use (TOU) pricing mathematical

An Optimized EV Charging Model Considering TOU Price and SOC Curve

by Yijia Cao, Shengwei Tang, Canbing Li, Peng Zhang, Senior Member, Yi Tan, Zhikun Zhang, Junxiong Li
"... Abstract—Large-scale deployment of electric vehicles (EVs) is anticipated in the foreseeable future. Heavy intermittent charging load of EVs will create bottlenecks in supplying capacity and expose power system to severe security risks. In this paper, we propose an intelligent method to control EV c ..."
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charging loads in response to time-of-use (TOU) price in a regulated market. First, an optimized charging model is formulated to minimize the charging cost. Then, a heuristic method is implemented to minimize the charging cost considering the relation between the acceptable charging power of EV battery

Large Customer Price Response Simulation Under Time-of-Use Electricity Pricing Policy Based on Multi-Agent System

by Yu Shunkun, Yuan Jiahai, Zhao Changhong
"... Abstract:--To enhance the effectiveness of electricity time-of-use (TOU) pricing, the mechanism of customer TOU response, especially that of large customer, should be researched thoroughly. Therefore multi-agents simulation is introduced. In simulation research TOU price response is taken as a decen ..."
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Abstract:--To enhance the effectiveness of electricity time-of-use (TOU) pricing, the mechanism of customer TOU response, especially that of large customer, should be researched thoroughly. Therefore multi-agents simulation is introduced. In simulation research TOU price response is taken as a

2012a): “Commercial and Industrial Demand Response Under Mandatory Time-of-Use Electricity Pricing,” Working Paper

by Katrina Jessoe, David Rapson, Katrina Jessoe, David Rapson
"... This paper is the first to evaluate the impact of a large-scale field deployment of mandatory timeof-use (TOU) pricing on the energy use of commercial and industrial firms. The regulation imposes higher user prices during hours when electricity is generally more expensive to produce, and is by far t ..."
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This paper is the first to evaluate the impact of a large-scale field deployment of mandatory timeof-use (TOU) pricing on the energy use of commercial and industrial firms. The regulation imposes higher user prices during hours when electricity is generally more expensive to produce, and is by far

Retail Pricing and Day-Ahead Demand Response in Smart Distribution Networks

by Shaghayegh Yousefi, Gholamreza Yousefi
"... This paper focuses on day-ahead (DA) retailing for fixed and Time-of-Use (TOU) price taker customers and DA real time pricing for active customers who participate in short-term markets. Customers’ response to the offered hourly prices are modeled using an hourly acceptance function which includes de ..."
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This paper focuses on day-ahead (DA) retailing for fixed and Time-of-Use (TOU) price taker customers and DA real time pricing for active customers who participate in short-term markets. Customers’ response to the offered hourly prices are modeled using an hourly acceptance function which includes

Cooperative consumers in a deregulated electricity market—dynamic consumption strategies and price coordination

by Raimo P. Hämäläinen, Juha Mäntysaari, Jukka Ruusunen, Pierre-olivier Pineau - Energy—The International Journal , 2000
"... Abstract – As the trend in electricity markets is strongly towards deregulation, new players, new rules and new behaviors will continue to emerge. One of the new phenomena that are developing on the demand side is the purchase by a coalition of consumers. When it is worth, a coalition will be consti ..."
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buys in the market at marginal cost. However, as marginal cost pricing may not always fulfill metering and communication needs of the members of the coalition, we consider Time-Of-Use (TOU) pricing within the coalition. Different groups of consumer behaviour are constructed to simulate this coalition

1 Impacts of Responsive Load in PJM: Load Shifting and Real Time Pricing

by Kathlen Sps
"... In PJM, 15 % of electric generation capacity ran less than 96 hours, 1.1 % of the time, over 2006. If retail prices reflected hourly wholesale market prices, customers would shift consumption away from peak hours and installed capacity could drop. I use PJM data to estimate consumer and producer sav ..."
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savings from a change toward real-time pricing (RTP) or time-of-use (TOU) pricing. Surprisingly, neither RTP nor TOU has much effect on average price under plausible short-term consumer responses. Consumer plus producer surplus rises 2.8%-4.4 % with RTP and 0.6%-1.0 % with TOU. Peak capacity savings

1 Impacts of Responsive Load in PJM: Load Shifting and Real Time Pricing

by Kathleen Spees
"... In PJM, 15 % of electric generation capacity ran less than 96 hours, 1.1 % of the time, over 2006. If retail prices reflected hourly wholesale market prices, customers would shift consumption away from peak hours and installed capacity could drop. I use PJM data to estimate consumer and producer sav ..."
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savings from a change toward real-time pricing (RTP) or time-of-use (TOU) pricing. Surprisingly, neither RTP nor TOU has much effect on average price under plausible short-term consumer responses. Consumer plus producer surplus rises 2.8%-4.4 % with RTP and 0.6%-1.0% with TOU. Peak capacity savings

County

by Zhichuan Huang, Ting Zhu, Yu Gu, David Irwin, Aditya Mishra, Prashant Shenoy
"... Buildings account for over 75 % of the electricity consump-tion in the United States. To reduce electricity usage and peak demand, many utilities are introducing market-based time-of-use (TOU) pricing models. In parallel, government programs that in-crease the fraction of renewable energy are incent ..."
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Buildings account for over 75 % of the electricity consump-tion in the United States. To reduce electricity usage and peak demand, many utilities are introducing market-based time-of-use (TOU) pricing models. In parallel, government programs that in-crease the fraction of renewable energy

Consumer Response to Continuous-Display Electricity-Use Monitors in a Time-of-Use Pricing Experiment

by Richard J. Sexton, Nancy Brown Johnson - The Journal of Consumer Research , 1987
"... Continuous-display, electricity-use monitors provide more comprehensive electricity cost information than previously considered initiatives. This study analyzes the effect of monitor-provided information on consumers ' monthly peak period, off-peak period, and total electricity consumption usin ..."
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have been consumers ' response to: (1) information about electricity consumption costs, and (2) programs that set prices for electricity according to its time of use (TOU). The first group of studies has investigated the conservation potential of various types of information, and the second group
Results 1 - 10 of 47