计及需求侧响应的主动配网规划技术

Active distribution network planning technology considering demand side response

针对需求侧电动汽车、可控负荷与分布式电源的增多给配电网规划带来的不确定性问题,同时充分考虑了传统配电网规划正向主动模式转变的影响,文中开展了计及需求侧响应的主动配电网规划算法研究。该研究将用户的响应行为模拟为线性模糊模型,进而构建了响应度不确定模型。同时建立了以投资、运维及环保成本最小化的目标函数,并计及需求侧响应约束,规划得到分布式电源和储能的最佳容量与选址。通过改进差分进化以及自适应因子,运用进化算法实现了对上述模型的求解。利用IEEE 33节点标准算例对所提算法进行验证的测试结果表明,该算法可以充分促进分布式电源的消纳,调动需求侧负荷响应的激励机制,算例的网损费用降低了约10%。

The increase of demand side electric vehicles,controllable loads and distributed generation has brought new uncertainties to distribution network planning.At the same time,taking full account of the impact of the positive active mode transformation of traditional distribution network planning,the active distribution network planning algorithm considering demand side response is studied.In this paper,the user’s response behavior is simulated as a linear fuzzy model,and a response uncertainty model is constructed.The objective function is established to minimize the cost of investment,operation and maintenance,and environmental protection.Taking into account the demand side response constraints,the optimal capacity and location of distributed generation and energy storage are planned.By improving differential evolution and adaptive factors,and using evolutionary algorithm to solve the above model.The proposed algorithm is verified by IEEE 33 bus standard calculation example.The test results show that the algorithm can fully promote the absorption of distributed generation and mobilize the excitation mechanism of demand side load response,the network loss cost of the example is reduced by about 10%.