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Pricing Scheme based Nash Q-Learning load control in Smart Grids

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Pricing Scheme based Nash Q-Learning Load Control in Smart G...

第25届中国控制与决策会议

作者： Xin Li Xiaoning Qin Chuanzhi Zang Weiwei Che Key Laboratory of Manufacturing Industrial Integrated Automation Shenyang University Shenyang Dongling Power Supply Branch Company Shenyang Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781467355339

Calls to improve customer participation as a key element of smart grids have reinvigorated interest in demand-side features such as load control for residential users. For the load control problems, a pricing scheme based Nash Q-learning load controller is proposed. It considers a game with some non-cooperative energy equipments. The energy pricing scheme is introduced to the design of the reward value in the learning process of Q-learning. Because of the uncertainties and highly time-varying, the Nash Q-learning, which is independent of mathematic model, is adopted to deal with the incomplete information for smart grid. By means of learning procedures, the proposed controller can learn to take the best actions to regulate the energy usage for equipments with the features of high comfortable for energy usage and low electric charge meanwhile. Simulation results show that the proposed load controller can promote the performance energy usage in smart grids.

关键词： Smart Grids load control Electric Price Nash Q-Learning

Distributed load control approach with dynamic switching communication topologies

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Distributed load control approach with dynamic switching com...

第40届中国控制会议

作者： Xin Qin Zheng Chen Xiaojing Hu Tao Ye Guizhou Wanfeng Electric Power Co. Ltd NARI Technology Co. Ltd Institute of Advanced Technology Nanjing University of Posts and Telecommunications

With consideration of great uncertainty on power generation side, load control can also be required to cut the peak and fill the valley. This paper proposes a distributed load control approach with switching communication topologies to tackle with load control problem under consumers’ participation. Since consumers’ participation state can alters as time period changes, the coordination topology can also switch to different state. The proposed distributed load control can ensure convergence in finite time horizon under switching topologies, and the minimum economic cost can also be achieved. As a result, the simulation on test system reveals that the proposed algorithm has good optimal control performance.

关键词： load control Distributed load control Communication Topologies Economic Cost

Demand-side Management Based on Model Predictive control in Distribution Network for Smoothing Distributed Photovoltaic Power Fluctuations

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Journal of Modern Power Systems and Clean Energy 2022年第5期10卷 1326-1336页

作者： Jian Xu Haobo Fu Siyang Liao Boyu Xie Deping Ke Yuanzhang Sun Xiong Li Xiaotao Peng IEEE School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China Power Dispatching and control Center of State Grid Jibei Electric Power Company Limited Bejing 100054China

With the rapid increase of distributed photovoltaic(PV) power integrating into the distribution network(DN), the critical issues such as PV power curtailment and low equipment utilization rate have been caused by PV power fluctuations. DN has less controllable equipment to manage the PV power fluctuation. To smooth the power fluctuations and further improve the utilization of PV, the regulation ability from the demandside needs to be excavated. This study presents a continuous control method of the feeder load power in a DN based on the voltage regulation to respond to the rapid fluctuation of the PV power output. PV power fluctuations will be directly reflected in the point of common coupling(PCC), and the power fluctuation rate of PCCs is an important standard of PV ***, a demand-side management strategy based on model predictive control(MPC) to mitigate the PCC power fluctuation is proposed. In pre-scheduling, the intraday optimization model is established to solve the reference power of PCC. In real-time control, the pre-scheduling results and MPC are used for the rolling optimization to control the feeder load demand. Finally,the data from the field measurements in Guangzhou, China are used to verify the effectiveness of the proposed strategy in smoothing fluctuations of the distributed PV power.

关键词： Demand-side management multi-time-scale optimization power fluctuation smoothing load control model predictive control(MPC)

Smart Transformer-based Medium Voltage Grid Support by Means of Active Power control

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CES Transactions on Electrical Machines and Systems 2020年第4期4卷 285-294页

作者： Stefano Giacomuzzi Marius Langwasser Giovanni De Carne Giuseppe Buja Marco Liserre Department of Industrial Engineering University of PadovaPadovaItaly Chair of Power Electronics Kiel UniversityKielGermany Institute for Technical Physics Karlsruhe Institute of TechnologyKarlsruheGermany

In the last decades the voltage regulation has been challenged by the increase of power variability in the electric grid,due to the spread of non-dispatchable generation *** paper introduces a Smart Transformer(ST)-based Medium Voltage(MV)grid support by means of active power control in the ST-fed Low Voltage(LV)*** aim of the proposed strategy is to improve the voltage profile in MV grids before the operation of On-load Tap Changer in the primary substation transformer,which needs tens of *** is realized through reactive power injection by the AC/DC MV converter and simultaneous decrease of the active power consumption of voltage-dependent loads in ST-fed LV grid,controlling the ST output *** last feature has two main effects:the first is to reduce the active power withdrawn from MV grid,and consequently the MV voltage drop caused by the active current *** the same time,higher reactive power injection capability in the MV converter is unlocked,due to the lower active power *** result,the ST increases the voltage support in MV *** analysis and simulation results carried out in this paper show improvements compared to similar solutions,*** only reactive power *** impact of the proposed solution has been finally evaluated under different voltage-dependence of the loads in the LV grid.

关键词： Smart Transformer Solid State Transformers load control Voltage Support

Residential HVAC Aggregation Based on Risk-averse Multi-armed Bandit Learning for Secondary Frequency Regulation

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Journal of Modern Power Systems and Clean Energy 2020年第6期8卷 1160-1167页

作者： Xinyi Chen Qinran Hu Qingxin Shi Xiangjun Quan Zaijun Wu Fangxing Li the School of Electrical Engineering Southeast UniversityNanjingChina Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment NanjingChina the School of Electrical Engineering and Computer Science University of TennesseeKnoxvilleUSA

As the penetration of renewable energy continues to increase,stochastic and intermittent generation resources gradually replace the conventional generators,bringing significant challenges in stabilizing power system ***,aggregating demand-side resources for frequency regulation attracts attentions from both academia and ***,in practice,conventional aggregation approaches suffer from random and uncertain behaviors of the users such as opting out control *** risk-averse multi-armed bandit learning approach is adopted to learn the behaviors of the users and a novel aggregation strategy is developed for residential heating,ventilation,and air conditioning(HVAC)to provide reliable secondary frequency *** with the conventional approach,the simulation results show that the risk-averse multiarmed bandit learning approach performs better in secondary frequency regulation with fewer users being selected and opting out of the ***,the proposed approach is more robust to random and changing behaviors of the users.

关键词： Heating ventilation and air conditioning(HVAC) load control multi-armed bandit online learning secondary frequency regulation

A Review of Research Status and Scientific Problems of Floating Offshore Wind Turbines

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Energy Engineering 2022年第1期119卷 123-143页

作者： Zhen Lei Xinbao Wang Shuni Zhou Zekun Wang Tengyuan Wang Yingjian Yang China State Shipbuilding Co. Ltd.Beijing100097China Institute of Engineering Thermophysics Chinese Academy of ScienceBeijing100190China CSIC Haizhuang Windpower Co. Ltd.Chongqing401122China

With the continuous utilization of offshore wind resources,the installation depth and capacity of offshore wind turbines are *** order to meet construction requirements of renewable energy,offshore wind farms are bound to develop further and deeper into the *** a result,a novel kind of power generation equipment,Floating Offshore Wind Turbines(FOWT),emerges as the times ***,this paper provides an objective comment on some key scientific ***,The statistics and forecast of the market demand and installed capacity of offshore wind energy show a steady *** that,the advantages of constructing FOWT and most floating projects in various countries are *** then,the reconstruction design of blades is reviewed under“Reynolds number”and“Froude number”similarity criterion,which is a prerequisite for achieving specific aerodynamic *** far,this paper focuses on aerodynamic researches,including aerodynamic forces and flow *** this basis,pitch angle control strategies are proposed to reduce aerodynamic forces on the premise of ensuring power ***,some other joint science problems to be solved are *** theoretical analysis,numerical simulations,ocean engineering basin tests,wind tunnel experiments or prototype sea measurements,FOWT is expected to break through various obstacles and finally achieve efficient and stable commercial operations.

关键词： FOWT scale effect motion response load control

Study on near-Zero Peak Regulation control of 300MW Subcritical circulating Fluidized bed Generator set

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Study on near-Zero Peak Regulation Control of 300MW Subcriti...

第32届中国过程控制会议(CPCC2021)

作者： Sun Qian YinJiang Niu Bin Zhang Yifeng Zhang Peihua School of Mathematical Sciences Shanxi University Department of Automation Shanxi University Shanxi Electric Power Research Institute of State Grid

With the large-scale grid connection of new energy generation,thermal power units have changed from base-load power to peak-shaving power,and thermal power units have undertaken more demand for deep peak regulation of the power *** order to improve the utilization rate of new energy power generation and deeply excavate the peak regulation capacity of circulating fluidized bed units,this paper discusses a method for subcritical circulating fluidized bed generators to participate in deep peak regulation of power grid,during the period of maximum concentration of new energy power generation,minimize the rate of abandoning wind and light of new energy,interrupt fuel and supply air supply of circulating fluidized bed boiler,and participate in deep peak regulation of power grid by means of heat storage of boiler *** generator is not disconnected,so that the load is reduced to nearly zero,aiming at the stew furnace pressure fire of the large subcritical circulating fluidized bed unit to achieve the load depth peak regulation of the *** actual operation results show that the peak regulation method can keep the unit load running at a low level,which has a certain guiding significance for the same type of units.

关键词： Circulating fluidized bed boiler whole process peak regulation pressure fire boiler shutdown without Steam turbine shutdown load control

A three-level mobility management scheme for hierarchical mobile IPv6 networks

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2006年第12期7卷 2118-2126页

作者： WAN Zheng PAN Xue-zeng CHEN Jian CUI Yu-zeng School of Computer Science Zhejiang University Hangzhou 310027 China School of Information Technology Jiangxi Universty of Fmance and Economics Nanchang 330013 China

Performance evaluation shows that Hierarchical Mobile IPv6 (HMIPv6) cannot outperform standard Mobile IPv6 (MIPv6) in all scenarios. Thus, adaptive protocol selection under certain circumstances is desired. Moreover, it is necessary to balance the load among different Mobility Anchor Points (MAPs). This paper proposes an efficient three-level hierarchical ar- chitecture for mobility management in HMIPv6 networks, in which a mobile node (MN) may register with either a higher/lower MAP or its home agent according to its speed and the number of connecting correspondent nodes (CNs). An admission control algorithm and a replacement algorithm are introduced to achieve load balancing between two MAP levels and among different MAPs within the same MAP level. Admission control is based on the number of CNs but not MNs that an MAP serves. In case there is no capacity for an MN, the MAP chooses an existing MN to be replaced. The replaced MN uses the MAP selection al- gorithm again to choose another mobility agent. Simulation results showed that the proposed scheme achieves better performance not only in reducing the signaling overhead, but also in load balancing among different MAPs.

关键词： Mobile IPv6 Mobility management Admission control load control

Regional Energy Management System Considering Demand Response

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Regional Energy Management System Considering Demand Respons...

第26届中国控制与决策会议

作者： Jun Liu Ying-xin Xie Yin Liu Feng-yu Wang Mao-mao Wu Electric Power Research Institute State Grid Shanghai Municipal Electric Power Company

ISBN: (纸本)9781479937097

In order to support the development of the smart grid and the demand side management, this paper designs and implements a regional energy management system（R-EMS） considering demand response（DR）. The R-EMS can realize the information linkage between the regional energy management and single-point energy management. Firstly, the design requirements and architecture of the system are proposed. And then three core functions and the realization method are described. Finally, a summary about the whole work is made. The system proposed supports multi-dimensional analysis and knowledge mining about mass electricity data, and has excellent features of standard access, information sharing and high reliability which will play an important role in the development of smart grid

关键词： Regional energy management system Demand response load control Energy efficiency evaluation