| 引用本文: | 白学祥,曾鸣,李源非,隆竹寒.区域能源供给网络热电协同规划模型与算法[J].电力系统保护与控制,2017,45(5):65-72.[点击复制] |
| BAI Xuexiang,ZENG Ming,LI Yuanfei,LONG Zhuhan.The model and algorithm ofthermoelectric collaborative planning of regional energy supply network[J].Power System Protection and Control,2017,45(5):65-72[点击复制] |
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| 摘要: |
| 能源互联网是实现我国能源革命目标的关键手段之一，然而其多能互补的特点增加了能源供应的复杂性，从而影响到区域范围内系统能源供应的协调有序。针对区域内能源供给网络的系统规划问题开展了研究，建立了以考虑投资、运行、经济、环境综合成本为目标函数，考虑电网、热网多元约束和电、热能源互补的区域能源供给网络规划模型，运用正态分布量子粒子群算法对模型进行求解。以华北某市郊区的区域能源规划为案例进行能源供给网络的规划，并与传统规划模式进行对比分析。结论表明，所提出的模型能够对至少含有煤电、气电和热能的区域综合能源供给网络进行规划，且规划方案的成本要低于传统规划方案。此外，所应用的正态分布量子粒子群算法在解决此类规划问题时具有较强的性能，具有较广阔的应用空间。 |
| 关键词: 能源互联网 能源供给网络 多目标规划 正态分布量子粒子群算法 |
| DOI：10.7667/PSPC161747 |
| 投稿时间：2016-10-20修订日期：2016-11-16 |
| 基金项目:国家电网公司总部科技项目:《新电改形势下公司构建电能服务平台的实施方案与支持体系研究》 |
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| The model and algorithm ofthermoelectric collaborative planning of regional energy supply network |
| BAI Xuexiang,ZENG Ming,LI Yuanfei,LONG Zhuhan |
| (State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China;School of Economics and Management, North China Electric Power University, Beijing 102206, China) |
| Abstract: |
| Energy Internet is one of the key means to realize the energy revolution. However, its characteristics of multiple kinds of energy complementing will increase the complexity of energy supply and thus affect the coordination and order of the system energy supply in the region. This paper carries out the research on the system planning of energy supply network in a certain region. Considering the comprehensive cost of investment, operation, economy and environment as the objective function, it establishes the planning model of regional power supply network considering multiple constraints of power grid and heat supply network and the energy complementary of electric and heat. The model is then solved by Gaussian quantum-behaved PSO algorithm. The regional energy planning of some outskirts of a city in North China is taken as a case of energy supply network planning and compared with traditional planning model. The conclusion shows that the method proposed is able to make planning for regional energy supply network, which contains coal-fired power, pneumoelectric and thermal power at least. Besides, the G-QPSO algorithm used in this paper has a good performance in solving this kind of planning problem; therefore, it has a promising perspective of application. This work is supported by Science and Technology Project of State Grid Corporation of China:Research on the Implementation Scheme and Support System of Electric Power Service Platform under the Situation of New Electricity Reform. |
| Key words: Energy Internet energy supply network multi-objective planning Gaussian quantum-behaved PSO algorithm |
