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demand-side response Strategy of Multi-microgrids Based on an Improved Co-evolution Algorithm

CSEE Journal of Power and Energy Systems 2021年第5期7卷 903-910页

作者： Yang Gao Qian Ai Key Laboratory of Control of Power Transmission and Conversion Shanghai Jiao Tong UniversityShanghai 200240China

An effective modeling and optimization method,which takes into account source-load-storage coordination,and full-time collaborative optimization within and outside micro-grids,is *** the operational conditions of various resources and their interactions,an energy management model for microgrids is proposed aiming at maximization of renewable energy utilization and minimization of overall system *** model is suitable for both real-time pricing and time-of-use *** microgrids,demand response and economic energy storage dispatch are introduced to enhance selfcoordination and self-balancing ability among different *** on whether there is still an imbalance between supply and demand after coordination within a niicrogrid,trade between it and external microgrids are optimized in a orderly manner by considering different transaction prices and usage ***,three different schemes are designed,where the Lagrangian multiplier method as well as a co-evolution algorithm are used to solve and analyze different examples,verifying the reliability and validity of the method proposed in this paper.

关键词： Terms—Co-evolution demand-side response multi-microgrids source-load-storage coordination.

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Power-balancing Coordinated Control of Wind Power and demand-side response Under Post-fault Condition

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Journal of Modern Power Systems and Clean Energy 2022年第5期10卷 1207-1215页

作者： Xinshou Tian Yongning Chi Chao Liu Peng Cheng Yan Li China Electric Power Research Institute Beijing 100192China North China Electric Power University Beijing 102206China State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems(China Electric Power Research Institute) Beijing 100192China China Institute of Energy and Transportation Integrated Development North China Electric Power UniversityBeijing 102206China

As the global energy transforms to renewablebased power system, the wind power generation has experienced a rapid increase. Due to the loss of synchronous machines and its frequency control mechanisms, the gradual evolution leads to critical challenges in maintaining the frequency stability. Under post-fault condition, the wind power generation has a slow recovery due to the fault ride-through(FRT) control strategy and may cause a larger frequency deviation due to the power imbalance between the supply and demand. Then, the impacts of the frequency deviations would further cause inaccuracy and instability in the control system for wind power generation. Considering the long parking time of electric vehicles(EVs), the demand-side response is provided to support the power grid via load-to-grid technology. Thus, a power-balancing coordinated control strategy of the wind power and the demand-side response is developed. It can significantly mitigate the power imbalance, thereby resulting in the enhanced frequency stability. Finally, the simulation results are provided to validate the power-balancing coordinated control strategy.

关键词： Power-balancing wind power demand-side response frequency stability post-fault condition

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demand-side response of Smart Clients under Real-time Pricing

Demand-Side Response of Smart Clients under Real-time Pricin...

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第26届中国控制与决策会议

作者： Wei-hui SHAO Wei-sheng XU Zhi-yu XU Zheng-yang ZENG School of Electronics and Information Engineering Tongji University

Electric power market will transform to the free market based on real-time pricing and the traditional clients will change to smart clients with the development of Smart Grid. A smart client model which includes general loads, energy storage devices, electric vehicles and distributed generations is developed in this paper to study the demand-side response under real-time pricing. MSND algorithm is used to search the optimal strategies. Computational tests on the real data show that the proposed model is reasonable and MSND algorithm is both efficient and effective.

关键词： Smart Client Real-time Pricing demand-side response MSVND Algorithm

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Peak Shaving Strategy of Concentrating Solar Power Generation Based on Multi-Time-Scale and Considering demand response

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Energy Engineering 2024年第3期121卷 661-679页

作者： Lei Fang Haiying Dong Xiaofei Zhen Shuaibing Li School of New Energy and Power Engineering Lanzhou Jiaotong UniversityLanzhou730070China

According to the multi-time-scale characteristics of power generation and demand-side response(DR)resources,as well as the improvement of prediction accuracy along with the approaching operating point,a rolling peak shaving optimization model consisting of three different time scales has been *** proposed peak shaving optimization model considers not only the generation resources of two different response speeds but also the two different DR resources and determines each unit combination,generation power,and demand response strategy on different time scales so as to participate in the peaking of the power system by taking full advantage of the fast response characteristics of the concentrating solar power(CSP).At the same time,in order to improve the accuracy of the scheduling results,the combination of the day-ahead peak shaving phase with scenario-based stochastic programming can further reduce the influence of wind power prediction errors on scheduling *** testing results have shown that by optimizing the allocation of scheduling resources in each phase,it can effectively reduce the number of starts and stops of thermal power units and improve the economic efficiency of system *** spinning reserve capacity is reduced,and the effectiveness of the peak shaving strategy is verified.

关键词： Peak shaving strategy concentrating solar power multi-time-scale demand-side response rolling optimization

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Optimal regulation of flexible loads in rural residential buildings considering mobile batteries:A case study in Shaanxi Province

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Building Simulation 2024年第7期17卷 1065-1083页

作者： Xi Luo Wence Shi School of Building Services Science and Engineering Xi'an University of Architecture and Technology(XAUAT)Xi'an 710055China State Key Laboratory of Green Building Xi'an 710055China

While the grid-connected capacity of rural household photovoltaics is increasing rapidly,achieving dynamic supply-demand matching despite fluctuations in solar energy is *** the rapid development of rural electrification,battery-powered technologies,such as electric vehicles and electric agricultural machinery,are becoming increasingly popular in rural *** this context,utilizing idle mobile batteries to assist in energy storage for rural residential buildings offers a new way to solve the problem of dynamic supply-demand *** this study,a field survey was conducted on several typical fruit-growing villages in the Central Shaanxi Plain in Shaanxi Province of *** rural households were selected to calculate the electricity loads of the residential buildings,with due consideration to the intervention of mobile *** the premise of installing 3 kW household photovoltaic systems in rural households,an economical efficiency-oriented model was built for the optimal regulation of flexible *** results were compared in the context of two patterns of electricity consumption,i.e.,unidirectional charging of mobile batteries from buildings and bidirectional charging and discharging between mobile batteries and *** bidirectional pattern significantly increased the photovoltaic consumption of typical rural households on various typical ***,during both scenarios of not implementing time-of-use and implementing time-of-use,the typical day of the winter slack farming season exhibited the best photovoltaic consumption effect among all types of typical ***,the bidirectional pattern also result in a significant increase in the annual electricity sales revenues for typical rural households.

关键词： demand-side response flexible load mobile battery household photovoltaics

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