考虑微电网运行域的配电网分布式能源规划

Planning of Distributed Energy Resources for Distribution Network Considering Dispatchable Region of Microgrids

随着分布式能源(DER)和微电网(MG)的大规模发展,在配电网静态安全约束下MG运行范围与DER渗透率之间相互制约,而现有DER规划模型未计及MG原有的运行范围,所得配置方案将可能局限MG运行空间,使得MG控制难度和配电网运行风险大大提高。为解决该问题,开展了含MG配电网DER选址定容问题的研究,重点研究了MG运行域、需求响应(DR)和储能运行策略对于DER规划的影响。为减少DER接入对MG运行的影响,引入MG运行域模型定量刻画MG运行边界,并采用区间算术将其转化为规划模型的约束条件。建立DR模型时,提出用户可中断负荷概率矩阵表征DR的不确定性。在此基础上,建立了综合考虑配电网运营商与DER投资商利益的含MG配电网DER规划模型,并采用改进粒子群算法进行求解。算例结果表明,所得DER规划方案在保证MG运行域不受影响下实现经济性最优,验证了所提模型的合理性和有效性。

With the large-scale development of distributed energy resources (DERs) and microgrids (MGs), the output power range of MGs and the permeability of DERs are mutually restricted under the static security constraints of distribution network. However, since the existing DER planning model does not take the original output power range of MGs into account, the operation space of MGs may be limited under the obtained planning scheme, which increases the control difficulty of MGs and operation risk of distribution network. To solve this proplem, the site selection and capacity determination of DERs in the distribution network containing MGs are studied, considering the effect of dispatchable region of MGs, demand response (DR) and operation strategy of energy storage system (ESS). In order to reduce the impact of DER access to grid on MG operation, the dispatchable region of MG is introduced to quantitatively depict the output power boundary of MG, and the interval arithmetic is used to transform it into the constraints of planning model. The users’ interruptible load probability matrix is proposed to characterize the uncertainty of DR. Furthermore, a DER planning model for the distribution network containing MG is established considering the interests of distribution network operator and DER investor, and an improved particle swarm algorithm is used to solve the planning model. Case results show that the obtained DER planning scheme can achieve optimal economic in ensuring that the dispatchable region of MG is not affected, proving the rationality and effectiveness of the proposed model.