Aiming at the decision of energy-saving renovation scheme of public buildings, based on the comprehensive income of energy-saving and carbon trading, this paper establishes the energy-saving, carbon reduction and economic benefit models of six technologies, such as: enclosure structure ( trading, this paper established the energy-saving, carbon reduction and economic benefit models of six technologies, such as: enclosure structure ( wall and form) renovation, lighting renovation, air conditioning optimization, air-conditioning optimization, energy-saving and carbon trading. wall and form) renovation, lighting renovation, air conditioning optimization, roof PV and boiler power replacement. The decision-making method of transformation scheme under the fluctuation of energy-saving and carbon trading is as follows The decision-making method of transformation scheme under the fluctuation of electricity price and carbon trading price is constructed with the help of multiple regression algorithm. Breaking through the traditional experience empowerment evaluation model, the optimal initial investment amount and the weighting and priority of various technology selection decisions are deduced. Breaking through the traditional experience empowerment evaluation model, the optimal initial investment amount and the weighting and priority of various technology selection decisions are deduced. Finally, the effectiveness of the method is verified by combining engineering cases, aiming to provide reference for owners to Finally, the effectiveness of the method is verified by combining engineering cases, aiming to provide reference for owners to flexibly respond to the energy and carbon trading market and precise energy saving.

The grid-connection of high penetration renewable energy makes a higher request on the flexibility of power grid.During the planning stage of renewable energy system taking collaborative optimization of multiple flexible resources into consideration can effectively improve the system flexibility.For this reason, based on the analysis on flexible regulating ability, considering flexibility a bi-level planning model of distributed generation in distribution network was proposed. Taking economic goals and flexible goals as optimization objectives, a multi scenario coordinated optimization planning model was constructed. Considering the defect of low solution efficiency due to too large scenery scene set, on the basis of affinity propagation（abbr. AP） clustering algorithm an APKmedoids-based bi-level scene reduction technology was put forward, and the reduced scene was verified. Finally, by use of the mixed solution strategy of integer adaptive particle swarm optimization（abbr. APSO） and chaos particle swarm optimization（abbr. CPSO） the simulation of the proposed bi-level programming model was implemented. Simulation results show that the proposed programming method is effective in improving economy and flexible regulation ability.

With the goal of carbon neutralization clear, reducing the social energy cost through technical means is of great significance for energy low-carbon transformation. Based on this background, this paper proposes a Conservation Voltage Reduction (CVR) operation method for medium-voltage power distribution system. CVR refers to operating under a lower voltage range on the premise of satisfying the supply voltage deviation, so as to achieve the purpose of energy saving and consumption reduction. The method proposed in this paper adopts the load exponential model and realizes the voltage reduction and energy saving operation through the adjustment of On-Load Tap Changer (OLTC). Coupled with the reactive compensation of the capacitor bank, network reconstruction, and distributed generations (DGs), the regulation guarantees that the voltage reduction operation meets the power quality requirements of the power supply to achieve the minimum total energy consumption of the distribution system within a period of time. Through the analysis of IEEE 33 node distribution system examples, the effectiveness and rationality of the proposed method are verified.

针对综合能源利用效率,区别于传统能源效率计算,提出基于热力学第二定律的综合能效计算方法,首先建立考虑能源能质系数的工商业园区模型,能源的利用效率不仅要从数量上,更要从质量上考虑,以综合能源效率最大和碳排放最小为目标函数,结合加权法在MATLAB/Cplex软件上进行求解.结果表明,系统中加入能质系数后,可更加准确地衡量各设备的出力情况,在多目标分析中,考虑能质系数能够有效减少碳排放并且可提高能源的梯级利用.

本文结合西部地区信息化发展现状,从研发与推广应用角度,对缩小西部"数字鸿沟"问题进行了探讨,对以计算机为核心的信息技术中应重点发展的几个领域进行了讨论,最后分析了目前存在的主要问题,指出了今后的发展方向.