Optimal Scheduling of Regional Integrated Energy Systems Under Two-Stage Power to Gas
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摘要:
针对区域综合能源系统的弃风弃光问题和经济成本最优问题，提出一种考虑电转气（P2G）两阶段模型的区域综合能源系统优化调度方法. 首先，以电-气-热-储-氢耦合的区域综合能源系统作为研究对象，建立系统各设备模型及P2G两环节模型；接着，在相关功率约束条件下建立系统优化调度模型；在此基础上，引入激励型电力需求侧响应，采用混合整数规划YALMIP函数对其优化，得到优化后负荷曲线，通过改变可转移负荷的用电时间以提升系统的经济性；再次，以日运行成本最小为优化目标，使用混合整数线性规划方法求解优化调度方案，并计算相应的成本；最后，结合某一地区的历史数据，利用本文所提出的优化调度方法求解电-气-热-储-氢耦合区域综合能源系统的优化调度结果，并开展不同季节、是否含P2G环节、是否考虑需求侧响应影响因素下的技术经济分析，验证了该方法的合理性和有效性. 研究结果表明：考虑两阶段P2G环节后，冬、夏季系统弃风弃光量均大幅减少，经济成本分别减少32.62%和61.64%；考虑需求侧响应后，冬季系统经济成本减少比例进一步提升至33.69%.
Abstract:Aiming at wind and light abandonment and economic cost optimization in regional integrated energy systems, an optimal scheduling method of regional integrated energy systems considering power to gas (P2G) two-stage model is proposed. First, the regional integrated energy system with electricity-gas-heat-storage-hydrogen coupling is regarded as the research object, and the equipment models and two-stage P2G models of the system are established. Secondly, the optimal scheduling model of the system is established under the relevant power constraints. On this basis, the incentive response from power demand side is introduced, and the load curve is optimized with the mixed integer programming YALMIP function. The system economy is improved by changing the power consumption time of the transferable load. Finally, the mixed integer linear programming method is used to solve the optimal scheduling solution and the costs under the objective of minimizing the daily operation cost. According to the historical data of a certain area, the presented optimization scheduling method is adopted to obtain optimization scheduling results for the integrated energy systems in this electricity-gas-heat-storage-hydrogen coupling area, and the rationality and effectiveness of this method are verified by technical and economic analysis in terms of different seasons, P2G stages and demand side response. The results show that after under the two-stage P2G, the amount of abandoned wind and light is greatly reduced in winter and summer, and the economic cost is reduced by 32.62% and 61.64%, respectively; when introducing the demand side response, the proportion of system economic cost reduction in winter is further increased to 33.69%.
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Key words:
- multi-energy coupling /
- integrated energy system /
- P2G /
- demand side response /
- optimal scheduling /
- economic analysis
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图 1 “电-气-热-储-氢”区域综合能源系统结构
Figure 1. Integrated energy system structure of electricity-gas-heat-storage-hydrogen coupling area
图 5 冬季典型日风光出力预测数据
Figure 5. Predicted normal output data of wind turbine and photovoltaic system in winter
图 11 冬季典型日电负荷需求响应前、后对比
Figure 11. Comparison of normal daily electric load demands in winter before and after introducing response
表 2 不同场景下的系统运行成本
Table 2. Operating costs in different scenarios
元 场景 购电成本 购气成本 购氢成本 弃风成本 弃光成本 总成本 1 557.5 5863.6 1079.6 1099.4 56.6 8656.7 2 401.0 5420.8 0 10.7 0 5832.5 3 0 3025.6 1079.6 1426.6 207.7 5739.5 4 0 2152.3 0 49.5 0 2201.8 
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表 3 冬季不同场景下的系统运行成本
Table 3. Operating costs in different scenarios in winter
元 场景 购电成本 购气成本 购氢成本 弃风成本 弃光成本 补贴成本 总成本 节省成本/% 1 557.5 5863.6 1079.6 1099.4 56.6 0 8656.7 2 401.0 5420.8 0 10.7 0 0 5832.5 32.62 5 22.6 5152.3 0 17.7 0 547.8 5740.4 33.69
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