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Non-intrusive Load Monitoring Method Based on PCA-ILP Considering Multi-feature Objective Function LIU Sai, LIU Yu, GAO Shan, GUO Haomin SONG Tiancheng, JIANG Weiyi, LI Zheng, WANG Juncheng, XU Yimin ELECTRIC POWER CONSTRUCTION    2020, 41 (8): 1-8.   DOI: 10.12204/j.issn.1000-7229.2020.08.001 Abstract （1605）      PDF（pc） （2366KB）（767）       Knowledge map    Save Non-intrusive load monitoring （NILM） acquires power consumption information in low cost. It can realize household load recognition and decomposition without affecting the normal power consumption. The installation of smart meters also provides data and technical support for NILM. Firstly, by researching power characteristics, current waveforms and harmonic characteristics of common household appliances, principal component analysis （PCA） is used to reduce the dimension of high-dimensional harmonic feature space and extract the main harmonic information. It is combined with basic power characteristics to form multi-feature objective function. Then, on the basis of integer linear programming （ILP） model, NILM method of PCA-ILP considering multi-feature objective function is established to realize load decomposition and recognition for different electrical appliances. Finally, case study indicates that the proposed method has a sound performance for load decomposition in different scenarios of household appliances under different signal-to-noise ratio （SNR）. Reference | Related Articles | Metrics

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Robust Optimal Scheduling of Mobile Emergency Power Sources Considering Uncertainties SHANG Huiyu, LIN Hongji, LI Zhonghui, ZHAO Hongwei, CHEN Minghui, YANG Zeng, WEN Fushuan ELECTRIC POWER CONSTRUCTION    2020, 41 (8): 111-119.   DOI: 10.12204/j.issn.1000-7229.2020.08.013 Abstract （887）      PDF（pc） （1735KB）（178）       Knowledge map    Save Establishing an electric power emergency response mechanism is of great significance for improving the emergency support capability of a power system. Efficiently dispatching mobile emergency power sources in the event of a power outage is an important part of the emergency response, and can reduce the losses caused by the power outage. There are some uncertain factors associated with a power outage event and the corresponded emergency response procedure, such as the travelling time of mobile emergency power sources and the power shortage value of important users during a power outage event. These uncertain factors have not yet been systematically taken into consideration by most of the existing related publications. Given this background, a robust optimal scheduling method for mobile emergency power sources considering uncertainties is proposed. Firstly, the interval number is used to represent the uncertain factors, and an optimization model is established with the objective formulated as the minimization of the total outage losses of important users. Then, the nonlinear terms in the optimization model are linearized by introducing auxiliary decision variables, and the model is thus transformed into a mixed integer linear programming problem. Next, a robust optimization method based on the fluctuation range of the acceptable solution is proposed to attain a more reasonable solution compared with the pessimistic solutions which are conservative in most scenarios. Finally, numerical results are carried out to demonstrate that the uncertain factors in the optimal dispatch of mobile emergency power sources can be well considered by the proposed model and then an effective scheduling scheme attained. Reference | Related Articles | Metrics

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Optimal Dispatching Strategy of Regional Integrated Energy System Considering Virtual Energy Storage System ZHU Xu, YANG Jun, LI Gaojunjie, DONG Xuzhu, LIU Shouwen ELECTRIC POWER CONSTRUCTION    2020, 41 (8): 99-110.   DOI: 10.12204/j.issn.1000-7229.2020.08.012 Abstract （1278）      PDF（pc） （6711KB）（481）       Knowledge map    Save Transferring loads across time periods, energy storage device plays an important role in the economic and stable operation of multi-energy system. But construction cost of energy storage device is high, which makes it difficult to apply energy storage device on a large scale. From the perspective of electric energy and heat energy, this paper proposes an optimal scheduling strategy for regional integrated energy system （RIES） considering virtual energy storage （VES） system, which can also transfer energy loads across time periods. According to the electric vehicle charging management method and building heat storage characteristics, virtual electric energy and thermal energy storage model is developed. The virtual energy storage system is integrated into the RIES optimal dispatching model. By arranging the charging of electric vehicles and adjusting indoor temperature within the temperature comfort range rationally, charging/discharging power management of virtual energy storage system can be realized. Finally, different energy supply modes under the summer refrigeration scenario are simulated to demonstrate the effectiveness of the proposed optimal dispatching method. Simulation results show that the proposed strategy can improve the economy and stability of the multi-energy system while guarantee the customer temperature comfort and meet regional energy demands. Reference | Related Articles | Metrics

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An Organic Rankine Cycle Based Decentralized Transaction Mechanism for Multiple Kinds of Energy YANG Wentao, WEN Fushuan, ZHANG Xian, CHEN Hao, GAO Bo, LI Xuesong ELECTRIC POWER CONSTRUCTION    2019, 40 (12): 11-21.   DOI: 10.3969/j.issn.1000-7229.2019.12.002 Abstract （873）      PDF（pc） （3808KB）（451）       Knowledge map    Save The development of distributed renewable energy generation could make an electricity user act as an electric power provider as well， i.e. the so-called prosumer. A prosumer can benefit through energy trading. Apart from electricity， natural gas and heat are also widely used as major energy resources in the demand side. With the fast development and commercialization of energy conversion technologies， e.g.， the organic Rankine cycle (ORC) and power-to-gas， energy conversion among multiple kinds of energy and decentralized transaction become feasible solutions for improving energy consumption efficiency and promoting social welfare. Given this background， a decentralized transaction mechanism for multiple kinds of energy at the demand side is presented by employing an ORC system. An energy hub framework with an ORC system embedded is firstly presented， and the steady-state mathematical model of the ORC system is developed. The conventional centralized transaction model is then briefly described， and two kinds of decentralized trading mechanisms are presented with respect to the cases with and without a trusted third party involved in the trading process. Trading optimization models are presented on the basis of the developed decentralized trading mechanisms， and the well-established optimization method namely alternating direction method of multipliers (ADMM) is employed to solve the optimization models. Finally， the IEEE 123-node distribution system is employed to demonstrate the presented decentralized trading mechanisms， the economic benefits and technical requirements of energy conversion among multiple kinds of energy through the ORC system are investigated， and comparisons between two decentralized trading mechanisms are carried out. Reference | Related Articles | Metrics