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分布式储能系统与分布式光伏系统的协同运行优化策略研究
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作者 叶汉文 何昌洋 梁子健 《电力设备管理》 2023年第19期111-113,共3页
分布式储能系统和分布式光伏系统作为新兴的可再生能源技术,正在得到越来越多的关注和应用.然而,在实际应用中的协同运行仍存在一些问题和挑战.本文针对分布式储能系统与分布式光伏系统在时分电价背景下的协同运行优化策略展开研究,以... 分布式储能系统和分布式光伏系统作为新兴的可再生能源技术,正在得到越来越多的关注和应用.然而,在实际应用中的协同运行仍存在一些问题和挑战.本文针对分布式储能系统与分布式光伏系统在时分电价背景下的协同运行优化策略展开研究,以提高系统的供电可靠性和经济性. 展开更多
关键词 分布式储能系统 分布式光伏系统 时分电价 协同运行
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住宅区内大规模电动汽车充电调度优化 被引量:1
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作者 苏传鑫 李婧 《自动化应用》 2017年第2期5-9,共5页
分析住宅区内电动汽车充电场景,并对其进行建模。基于电动汽车接入电网技术(V2G),提出以减小峰谷差、负荷波动及电动汽车充电费用作为优化目标的充电调度策略,采用改进粒子群算法优化调度模型,运用蒙特卡洛法模拟了车主的充电行为,并对... 分析住宅区内电动汽车充电场景,并对其进行建模。基于电动汽车接入电网技术(V2G),提出以减小峰谷差、负荷波动及电动汽车充电费用作为优化目标的充电调度策略,采用改进粒子群算法优化调度模型,运用蒙特卡洛法模拟了车主的充电行为,并对无序充电和有序充电调度进行了仿真分析对比。 展开更多
关键词 电动汽车 充电调度策略 改进粒子群算法 电动汽车接入电网 时分电价
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Scheduling optimization problem considering time-of-use tariffs and piece-rate machine maintenance in EAF steelmaking 被引量:1
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作者 Wei Li Chen Weida Yang Ye 《Journal of Southeast University(English Edition)》 EI CAS 2018年第1期127-134,共8页
An operating schedule of the parallel electric arc furnaces(EAFs)considering both productivity and energy related criteria is investigated.A mathematical model is established to minimize the total completion time and ... An operating schedule of the parallel electric arc furnaces(EAFs)considering both productivity and energy related criteria is investigated.A mathematical model is established to minimize the total completion time and the total electricity cost.This problem is proved to be an NP-hard problem,and an effective solution algorithm,longest processing time-genetic(LPT-gene)algorithm,is proposed.The impacts of varied processing energy consumption and electricity price on the optimal schedules are analyzed.The integrated influence of the different weight values and the variation between the peak price and the trough price on the optimal solution is studied.Computational experiments illustrate that considering the energy consumption costs in production has little influence on makespan;the computational performance of the proposed longest processing time-genetic algorithm is better than the genetic algorithm(GA)in the issue to be studied;considerable reductions in the energy consumption costs can be achieved by avoiding producing during high-energy price periods and reducing the machining energy consumption difference.The results can be a guidance for managers to improve productivity and to save energy costs under the time-of-use tariffs. 展开更多
关键词 electric arc furnaces steelmaking time-of-use tariffs piece-rate machine maintenance longest processing time-genetic(LPT-gene)algorithm energy saving
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Quantum particle swarm optimization for micro-grid system with consideration of consumer satisfaction and benefit of generation side
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作者 LU Xiaojuan CAO Kai GAO Yunbo 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2021年第1期83-92,共10页
Considering comprehensive benefit of micro-grid system and consumers,we establish a mathematical model with the goal of the maximum consumer satisfaction and the maximum benefit of power generation side in the view of... Considering comprehensive benefit of micro-grid system and consumers,we establish a mathematical model with the goal of the maximum consumer satisfaction and the maximum benefit of power generation side in the view of energy management.An improved multi-objective local mutation adaptive quantum particle swarm optimization(MO-LM-AQPSO)algorithm is adopted to obtain the Pareto frontier of consumer satisfaction and the benefit of power generation side.The optimal solution of the non-dominant solution is selected with introducing the power shortage and power loss to maximize the benefit of power generation side,and its reasonableness is verified by numerical simulation.Then,translational load and time-of-use electricity price incentive mechanism are considered and reasonable peak-valley price ratio is adopted to guide users to actively participate in demand response.The simulation results show that the reasonable incentive mechanism increases the benefit of power generation side and improves the consumer satisfaction.Also the mechanism maximizes the utilization of renewable energy and effectively reduces the operation cost of the battery. 展开更多
关键词 micro-grid system consumer satisfaction benefit of power generation side time-of-use electricity price multi-objective local mutation adaptive quantum particle swarm optimization(MO-LM-AQPSO)
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Power "Smart Pricing" with and without Smart Meters
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作者 King Min Wang Yu Ju Cheng 《Journal of Energy and Power Engineering》 2013年第7期1316-1330,共15页
Over the past several years, the Taiwan Power Company has launched two smart pricing programs to assess the demand response of residential customers: the TOU (time-of-use) rate scheme and the DRI (demand reduction... Over the past several years, the Taiwan Power Company has launched two smart pricing programs to assess the demand response of residential customers: the TOU (time-of-use) rate scheme and the DRI (demand reduction incentive) scheme. This paper discusses these two programs and evaluates their respective performances. We develop an efficient approach based on marginal cost pricing to redesign the TOU rate scheme. In our finding, the TOU price levels could be revised to encourage more customers to participate by enlarging the price gap. Moreover, the DRI scheme can be further improved in order to reach an efficient win-win solution among customers, the utility and society. This can be achieved via a careful design of incentive tariff discounts to take account of the time-of-use or location-specific features of the power supply/demand condition. 展开更多
关键词 Time-of-use rate energy saving and carbon reduction electricity pricing strategy smart meter.
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Statistics in Stock Day Trading
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作者 Yingqiong Gu 《Journal of Mathematics and System Science》 2013年第4期187-189,共3页
Price volatility in stock market brings potential profile positions to the traders. How to predict the direction of the stock market or stock price becomes the primary job for traders' trading model. We are looking f... Price volatility in stock market brings potential profile positions to the traders. How to predict the direction of the stock market or stock price becomes the primary job for traders' trading model. We are looking for the direction of the market in a given timeframe. High-frequency traders will consider the potential profile-out position in millisecond level. Long-term holder will look into month time scale. For most of average traders, the ideal timeframe will be on daily base. In this paper, for a non-news trading day, the author will introduce statistics method to predict the stock prices and bid-ask spread for day trading. 展开更多
关键词 Stock trading algorithm trading stock statistics in stock trading stock trading strategies
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