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Enhanced Moth-flame Optimization Based on Cultural Learning and Gaussian Mutation

Journal of Bionic Engineering 2018年第4期15卷 751-763页

作者： Liwu Xu Yuanzheng Li Kaicheng Li Gooi Hoay Beng Zhiqiang Jiang Chao Wang Nian Liu State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical Engineering and Electronics Huazhong University of Science and Technology Wuhan 430074 China School of Automation Ministry of Education Key Laboratory of lmage Processing and Intelligence Control Huazhong University of Science and Technology Wuhan 430074 China Nanyang Technological University Singapore 639798 Singapore School of Hydropower and lnformation Engineering Huazhong University of Science and Technology Wuhan 430074 China China Institute of Water Resources and Hydropower Research Beijing 100038 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beij'ing 102206 China

This paper presents an Enhanced Moth-Flame Optimization （EMFO） technique based on Cultural Learning （CL） and Gaussian Mutation （GM）. The mechanism of CL and the operator of GM are incorporated to the original algorithm of Moth-Flame Optimization （MFO）. CL plays an important role in the inheritance of historical experiences and stimulates moths to obtain information from flames more effectively, which helps MFO enhance its searching ability. Furthermore, in order to overcome the disadvantage of trapping into local optima, the operator of GM is introduced to MFO. This operator acts on the best flame in order to generate several variant ones, which can increase the diversity. The proposed algorithm of EMFO has been comprehensively evaluated on 13 benchmark functions, in comparison with MFO. simulation results verify that EMFO shows a significant improvement on MFO, in terms of solution quality and algorithmic reliability.

关键词： bioinspired computing moth-flame optimization cultural learning Gaussian mutation benchmark functions

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Multi-objecive LPV control of wind energy conversion system under wide-scale operating conditions

Multi-objecive LPV control of wind energy conversion system ...

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8th renewable power Generation Conference (RPG 2019)

作者： Chenzhi Qu Zhongwei Lin Zhen Xie Yilin Li Shangang Zhang Xiongwei Li Zhenqing Duan State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing 102206 PR China CHNENERGY (Shandong) New Energy Co. Ltd Jinan 250099 PR China Guodian New Energy Technology Research Institute Co. Ltd Beijing 102209 PR China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

Wind energy conversion system (WECS) is essentially a time-varying system with high nonlinear characteristics, which leads to the difficulty of guaranteeing the control performance in a wide-scale operating conditions for the conventional linear control strategies. In this paper, a linear-parameter-varying (LPV) gain-scheduled controller is proposed for variable-speed-variable-pitch wind turbines above rated wind speed, which improves both steady-and dynamic-response performances under wide-scale operating conditions. Firstly, the H 2 /H ∞ technique is adopted to reduce the rated power tracking errors, while enhancing the robustness against high-frequency turbulence. Secondly, the regional pole placement technique is applied on WECS, which builds the connections to the dynamic response performance. To verify the effectiveness of the proposed method, the simulation is implemented on the NREL 5 MW wind turbine, which is compared with the conventional local linear control strategy with a full analysis on the related performances.

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Multi-objective optimal dispatch method based on source-network-load-storage interaction system for DC distribution network

Multi-objective optimal dispatch method based on source-netw...

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International Conference on renewable power Generation

作者： Ran Quan Guoqing Li Guobin Jin Zhao Liu Qing Chen Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Grid Jiangsu Electric Power Co. Ltd. Nanjing China Jiangsu Electric Power Company Research Institute Nanjing China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

The DC distribution network can integrate the photovoltaic power generation system with high efficiency, but the random fluctuation of the photovoltaic output power is strong and there is a problem of PV consumption, which has a certain degree of impact on the economic optimization operation of the system. Therefore, the source-network-load-storage optimization interaction concept is introduced in the DC distribution network. Based on the in-depth analysis of the interactive load characteristics, the interaction load and energy storage technology can be fully utilized to the system to consumpt the photovoltaic. Combined with the features of DC distribution network structure, comprehensively consider the impact of the interactive load and energy storage system collaborative optimization on the system operating cost and power flow distribution, so that both the power generation side and the power side can participate in the resource optimization configuration of the grid operation. A multi-objective optimal scheduling model for photovoltaic DC distribution networks with operational cost, network loss and voltage deviation is established. The simulation example shows that: Collaborative optimization using interactive load and energy storage system can greatly reduce system operating cost, network loss and voltage deviation, effectively improve the level of PV consumption, and realize safe and reliable operation of DC distribution network.

关键词： DC distribution network Distributed photovoltaic energy storage system Interactive load Optimal scheduling

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energy management of wind-PV-storage-grid based large electricity consumer using robust optimization technique

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Journal of energy Storage 2020年 27卷

作者： Dongmin Yu Tao Zhang Guixiong He Sayyad Nojavan Kittisak Jermsittiparsert Noradin Ghadimi Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 China Electric Power Research Institute of China Haidian District Beijing 100085 China Department of Electrical Engineering University of Bonab Bonab Iran Social Research Institute Chulalongkorn University Bangkok Thailand Young Researchers and Elite Club Islamic Azad University Ardabil Branch Ardabil Iran

Large electricity consumers (LEC) can purchase energy from various energy resources such as bilateral contracts, pool market, micro-turbines, battery storage systems, wind turbines, photovoltaic panels (PV). The uncertainty of market price leads to uncertainty in the total cost to the LEC. Therefore, in this article, the robust optimization (RO) technique is provided to investigate the uncertainty of the pool market price in the presented problem. Also, demand response program (DRP) is provided to decrease the purchased cost to the LEC as much as possible. According to the obtained results, without considering DRP, purchased cost is approximately $40,253.252 and $42,586.984, respectively in the risk-neutral strategy (ideal condition) and robust strategy (worst condition). Furthermore, the purchased cost is reduced nearly $36,945.362 and $39,789.267 in the risk-neutral and robust strategies with considering DRP. So, it can be concluded that the purchased cost to the LEC with considering DRP is reduced 8.2% and 6.5% in risk-neutral and robust strategies, respectively.

关键词： Large electricity consumers (LEC) Wind turbine Photovoltaic panel (PV) Demand response program (DRP) Robust optimization approach (RO)

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arXiv

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arXiv 2020年

作者： Li, Jiashuo Zhou, Sili Wei, Wendong Qi, Jianchuan Li, Yumeng Chen, Bin Zhang, Ning Guan, Dabo Qian, Haoqi Wu, Xiaohui Miao, Jiawen Chen, Long Liang, Sai Feng, Kuishuang Institute of Blue and Green Development Shandong University Weihai264209 State Key Laboratory of Coal Combustion School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan430074 China School of International and Public Affairs Shanghai Jiao Tong University Shanghai200030 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Beijing Normal University Beijing100875 China Laboratory of Anthropogenic Systems Ecology College of Engineering Peking University Beijing100871 China Department of Earth System Science Tsinghua University Beijing100871 China Institute for Global Public Policy Fudan University Shanghai200433 China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Key Laboratory of Geographic Information Science Ministry of Education School of Geographic Sciences East China Normal University Shanghai200241 China

China has implemented retrofitting measures in coal-fired power plants (CFPPs) to reduce air pollution through small unit shutdown (SUS), the installation of air pollution control devices (APCDs) and power generation efficiency (PGE) improvement. The reductions in highly toxic Hg emissions and their related health impacts by these measures have not been well studied. To refine mitigation options, we evaluated the health benefits of reduced Hg emissions via retrofitting measures during China's 12th Five-Year Plan by combining plant-level Hg emission inventories with the China Hg Risk Source-Tracking Model. We found that the measures reduced Hg emissions by 23.5 tons (approximately 1/5 of that from CFPPs in 2010), preventing 0.0021 points of per-foetus intelligence quotient (IQ) decrements and 114 deaths from fatal heart attacks. These benefits were dominated by CFPP shutdowns and APCD installations. Provincial health benefits were largely attributable to Hg reductions in other regions. We also demonstrated the necessity of considering human health impacts, rather than just Hg emission reductions, in selecting Hg control devices. This study also suggests that Hg control strategies should consider various factors, such as CFPP locations, population densities and trade-offs between reductions of total Hg (THg) and Hg2+. Copyright © 2020, The Authors. All rights reserved.

关键词： Fossil fuel power plants

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Preventive control for combined heat and power system: A day-ahead security constrained economic dispatch model 11

Preventive control for combined heat and power system: A day...

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11th IET International Conference on Advances in power system control, Operation and Management, APSCOM 2018

作者： Lin, Qunli Shen, Xinwei Xu, Yinliang Sun, Yong Li, Zhenyuan Guo, Qinglai Sun, Hongbin Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Institute Tsinghua University Shenzhen China Jilin Power Grid Company State Grid Corp. of China Jilin China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781839530043

Integrated energy system (IES), which plays a vital role in the development of energy Internet (EI), can improve the efficiency of energy utilization and integration of renewable energy. However, the coupling between multiple energy systems will bring new challenges to the security control of the IES, such as combined heat and power (CHP) system. For IES, the preventive control is the first line of defense to ensure that the system can keep stable operation when contingencies such as the transmission outage or generator outage happen. This paper proposes a preventive control approach for CHP system, in which a day-ahead security constrained economic dispatch (SCED) model of CHP system considering the coupling of heat and electric is formulated. The model aims to minimize the cost of the whole system, while the preventive control of the system can be achieved with the constraints considering the normal states and contingencies states. Case studies based on the IEEE 9-bus system with CHPs are presented to illustrate the approach. The case result shows that the combined electric and heat optimal dispatch is more economical than when two systems are independently optimized and operated. And the proposed preventive control approach of the CHP system can satisfy both the electric and heat demand, and system security is ensured when the N-1 contingencies happened. © 2018 Institution of Engineering and technology. All rights reserved.

关键词： Internet of energy

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The impacts of interprovincial agricultural trade on water resources in China: from perspective of grey water footprint

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energy Procedia 2018年 152卷 253-258页

作者： Changyi Liao Saige Wang Jiake Fang Yiyi Zhang Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning Guangxi 530004 China Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 P.R. China

As the largest water consumption sector, agriculture sector plays a significant role in water resources reallocating via economic trade. Different from previous studies focusing on the impacts of economic trade on water quantity, this paper concentrates on the impacts on the water quality. Grey water footprint (GWF) of agricultural sector is used for investigating the impacts of trade on water resources. In this paper, the regional virtual grey water of agricultural trade network was built based on the GWF and multiregional input–output analysis. The GWF for agricultural sector in each region was inventoried. Then GWF of agriculture embodied in monetary flows among regions were calculated using multiregional input–output analysis. The main results showed that Shandong, Henan, Heilongjiang, Inner Mongolia, and Hebei were the most critical regions for water resources. Besides, Zhejiang and Guangdong have saved a large amount of water by importing water resources through agricultural trade. While, Hebei, Heilongjiang, Anhui, Henan and Xinjiang are exporting a large amount of water resources. Moreover, the regions with developed economy and higher population are more dependent on agricultural imports. By identifying the critical node and pathway in virtual grey water trade, this paper aims to provide theoretical foundations for mitigating water pressure and reducing water pollution in economic trade activities.

关键词： Agricultural sector grey water footprint multiregional input-output analysis water polllution

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The electricity-water nexus in Chinese electric trade system

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energy Procedia 2018年 152卷 247-252页

作者： Jiake Fang Saige Wang Yiyi Zhang Bin Chen Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning Guangxi 530004 China Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 P.R. China

A great amount of electricity generation exerts a tremendous pressure on China's water resources. The spatial mismatch between primary energy and water in China aggravates the pressure of water resources and results in virtual water transfers from drier to wetter regions through electricity trade. Firstly, we construct an electricity generation-consumption (EGC) model to model inter-provincial electricity trade in China and propose a hybrid virtual water intensity (HVWI) indicator to represent the provincial overall virtual water consumption factor. Then, we combine the inter-provincial electricity trade and the provincial HVWI to build China's virtual water trade network. The results show that total inter-provincial virtual water embodied in the electricity trade is 5637 GL. The top three largest electricity trade flows are Yunnan-to-Guangdong (111 billion kWh), Inner Mongolia-to-Beijing (32.7 billion kWh) and Inner Mongolia-to-Liaoning (31.1 billion kWh), and the top three largest virtual water flows are Yunnan-to-Guangdong (1527 GL), Sichuan-to-Chongqing (432.6 GL) and Sichuan-to-Shanghai (418.7 GL).

关键词： Electricity trade virtual water electricity-water nexus electricity management

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Ancillary service for frequency regulation based on multi-energy virtual power plant aggregating factory load

Ancillary service for frequency regulation based on multi-en...

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The 11th IET International Conference on Advances in power system control, Operation and Management (APSCOM 2018)

作者： Jiazhen Wang Xinwei Shen Yinliang Xu Qinglai Guo Hongbin Sun Yanbo Chen Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University

ISBN: (数字)9781839530043

With the increasing proportion of renewable energy generation into the power grid, more challenges are coming to the safe and stable operation of the power system. In order to keep the balance in energy market, system operator has to purchase much service in ancillary service market to guarantee the stable operation of the power transmission. Virtual power plant (VPP) has been extensively studied as a concept that aggregates multiple resource forms to serve the electricity market. Meanwhile, with the development of energy Internet (EI) Error! Reference source not found., more attention has been focused on the optimization and operation of Integrated energy system (IES), therefore, the introduction and exploration of Multi-energy Virtual power Plant (MVPP) provide possibilities for IES to participate in the Electricity Market and Ancillary Services Market. This paper extracts the flexible electric and heat load in the industrial production process, combining the CHP units and Electric Boiler (EB), which are main heat energy supply devices as well as energy Storage system (ESS) as a MVPP to provide Frequency Regulation (FR) service to the Auxiliary Service Market. Model Predictive control (MPC) method is applied to control the industrial load, the operation of CHP, EB and ESS are gonging to follow the AGC signal issued by the FR market effectively while avoiding impacts on the production process of the factory. Finally, case study validates the effectiveness of the model.

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Spatial energy-water nexus through economic trade network

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energy Procedia 2018年 152卷 307-311页

作者： Saige Wang Delin Fang Zhenzhen Tian Jiake Fang Bin Chen Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 P.R. China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning Guangxi 530004 China

energy and water are basic supporting resources for economic development. In many regions, energy and water security has been great challenge for economic sustainable development, especially in developing countries like China. Water security and energy security are intimately linked due to their direct and indirect connections in economic activities. The indirect connections mean the interactions among elements due to the economic trade, which can be illustrated well through the embodied water and energy footprint through economic trade. The indirect connections play vital role in multi resource management. Comparing traditional nexus studies focusing on the system scales, this paper built the spatial nexus network to unpack energy and water spatial linkage and teleconnection based on the direct and indirect connections. Both physical resource trade and virtual resource trade are calculated to investigate the energy and water spatial relationship based on the control and dependence analyses. By exploring how energy-water nexus networks are formed and interacted each other, we aim to provide insights for energy-water spatial trade coordinated management.

关键词： Spatial reallocation input-output analysis China resource management

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